CN108306614A - A kind of photovoltaic plant method for diagnosing faults - Google Patents

A kind of photovoltaic plant method for diagnosing faults Download PDF

Info

Publication number
CN108306614A
CN108306614A CN201810134423.0A CN201810134423A CN108306614A CN 108306614 A CN108306614 A CN 108306614A CN 201810134423 A CN201810134423 A CN 201810134423A CN 108306614 A CN108306614 A CN 108306614A
Authority
CN
China
Prior art keywords
inverter
time
same day
power
power station
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN201810134423.0A
Other languages
Chinese (zh)
Other versions
CN108306614B (en
Inventor
王椭
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Wuxi Yingzhen Technology Co ltd
Original Assignee
IGEN TECH Inc
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by IGEN TECH Inc filed Critical IGEN TECH Inc
Priority to CN201810134423.0A priority Critical patent/CN108306614B/en
Publication of CN108306614A publication Critical patent/CN108306614A/en
Application granted granted Critical
Publication of CN108306614B publication Critical patent/CN108306614B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02SGENERATION OF ELECTRIC POWER BY CONVERSION OF INFRARED RADIATION, VISIBLE LIGHT OR ULTRAVIOLET LIGHT, e.g. USING PHOTOVOLTAIC [PV] MODULES
    • H02S50/00Monitoring or testing of PV systems, e.g. load balancing or fault identification
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00Energy generation through renewable energy sources
    • Y02E10/50Photovoltaic [PV] energy

Abstract

The invention discloses a kind of photovoltaic plant method for diagnosing faults, this method first transfers the related data for fault diagnosis from database, PR, which is calculated, according to the data transferred calibrates index, diagnosis index is calculated according to the data transferred, index, which is calibrated, according to PR calculates core evaluation index with diagnosis index, power station Condition evaluation is provided according to core evaluation index, Common Abnormity treatment advice is provided according to power station Condition evaluation, exports O&M report;The present invention is based on the data that inverter data collector is acquired, it grades to the state of photovoltaic plant, photovoltaic plant failure that may be present is diagnosed and treatment advice is provided, find out the power station for significant trouble occur and being badly in need of maintenance process, automatically generate power station daily paper, O&M suggestion is provided, power station O&M cost is reduced, improves O&M efficiency.

Description

A kind of photovoltaic plant method for diagnosing faults
Technical field
The present invention relates to a kind of photovoltaic plant method for diagnosing faults, belong to photovoltaic generation fault detection technique field.
Background technology
In recent years, photovoltaic generation generated electricity as renewable and clean energy resource and was greatly developed.Currently, photovoltaic generation is main It is divided into roof and large-scale surface power station, surface power station is again in the majority with desert power station, and most is unattended or few People is on duty.With the Large scale construction of photovoltaic plant, there is the frequent failure of equipment, equipment fails sound and stable operation, equipment fault The problems such as response is not in time, equipment working performance is low, these problems will all influence the whole generated energy in power station, be brought to user Direct economic loss.
Currently, in the data acquisition of photovoltaic generating system and monitoring system, lack effective fault diagnosis and location Means, fault detect are compared mainly by manual inspection, by multimeter hand dipping, and the troubleshooting period is long, influences power generation production Go out, maintenance efficiency is low, input manpower is big.
In the prior art, the data for largely relying on collector or artificial detection acquisition carry out fault diagnosis to photovoltaic plant, For the O&M scenarios of great quantity of small family photovoltaic power station, the increase for the O&M cost that this diagnostic mode is brought It is difficult to receive.
Invention content
Purpose of the present invention is to provide a kind of photovoltaic plant method for diagnosing faults, the party in view of the defects existing in the prior art The data that method is acquired based on inverter data collector grade to the state of photovoltaic plant, may be deposited to photovoltaic plant Failure diagnosed and provided treatment advice, find out the power station for significant trouble occur and being badly in need of maintenance process, automatically generate Power station daily paper provides O&M suggestion, reduces power station O&M cost, improves O&M efficiency.
The present invention to achieve the above object, adopts the following technical scheme that:
A kind of photovoltaic plant method for diagnosing faults, this approach includes the following steps:
Step 1:The related data for fault diagnosis is transferred from database,
Step 2:PR, which is calculated, according to the data transferred calibrates index;
Step 3:Diagnosis index is calculated according to the data transferred;
Step 4:Index, which is calibrated, according to PR calculates core evaluation index with diagnosis index;
Step 5:Power station Condition evaluation is provided according to core evaluation index;
Step 6:Common Abnormity treatment advice is provided according to power station Condition evaluation;
Step 7:Export O&M report.
Preferably, in the step 1, the data for fault diagnosis transferred from database include:
Installed capacity:C;The active sequence of inverter power history:P;Same day local sunrise:sun_rise_time;The same day works as Ground sunset time:sun_set_time;The DC voltage i of inverter same day nth bar data:DC_V_i_n;The inverter same day n-th The active power of data:P_n;The acquisition time of same day nth bar data:T_n;Same day total data item number:N;The inverter same day First data acquisition time:F_t;Inverter same day end data acquisition time:L_t;Same day inverter net cycle time is maximum Value:W_t_max;Same day inverter net cycle time minimum value:W_t_min;The same day adds up the maximum of transmission data item number in total Value:C_N_max;The same day adds up the minimum value of transmission data item number in total:C_N_min;Frequency acquisition:F;The inverter same day n-th The error code (error bit serial number) of data:E_n;Same day failure code:E_code.
Preferably, the PR calibration indexs in the step 2 and the computational methods calibrated corresponding to index are as follows:
(1)Installed capacity C, unit kwp, C=installed capacity;
(2)Inverter maximum historical power Max_P_I_i, Max_P_I are the maximum historical power of i-th of power station inverter, single Position is kwp, and P_i is the history active power sequence of i-th of inverter, and the unit of element is wp in sequence, and formula is:Max_P_ I_i = max(P_i)/1000;
(3)Power station maximum historical power Max_P_S, unit kwp, formula are:Max_P_S = ∑(Max_P_I_i);
(4)There is time when maximum historical power in maximum historical power time Max_P_T_i, i.e. i-th of power station inverter, are Local time makes for 24 hours, and formula is:Max_P_T_i = time(P_i.index(Max_P_I_i)).
Preferably, the computational methods in the step 3 corresponding to diagnosis index and diagnosis index are as follows:
(1)Light irradiation time Light_Time, unit h, sun_rise_time are same day local sunrise, sun_set_ Time is same day locality sunset time, and the calculation formula of light irradiation time is:
Light_Time=(sun_set_time-sun_rise_time)/3600;
(2)The online off-network duration Online_Offgrid_Time of inverter, unit h, DC_V_i_n are the inverter same day n-th The DC voltage i of data, unit A, P_n are the active power of inverter same day nth bar data, and T_n is same day nth bar number According to acquisition time, N is same day total data item number, and the calculation formula of the online off-network duration of inverter is:
for n in range(N):
if (DC_V_i_n+DC_V_(i+1)_n+DC_V_(i+2)_n…>0)&(P_n==0):
Online_Offgrid_Time = T_n + T_(n-1)
Online_Offgrid_Time = T_n + T_(n-1)
Online_Offgrid_Time = Online_Offgrid_Time/3600;
(3)The offline off-network duration Offline_Offgrid_Time of inverter, unit h, F_t are the inverter same day first item number According to acquisition time, L_t is inverter same day end data acquisition time, and W_t_max is that same day inverter net cycle time is maximum Value, W_t_min are same day inverter net cycle time minimum value, acquisition time:C+e, inverter net cycle time:C, offset Time:The calculation formula of e, the offline off-network duration of inverter is:
Offline_Offgrid_Time = ((L_t-F_t)-(W_t_max-W_t_min))/3600;
(4)Inverter communicates reason Offtime Offline_Time, and unit h, C_N_max are to add up on the same day to send number in total According to the maximum value of item number, C_N_min is the minimum value for adding up transmission data item number in total on the same day, and N is that same day real time data frame is total Number, F is frequency acquisition, be defaulted as 5 minutes every, inverter communicate reason Offtime calculation formula it is as follows:Offline_ Time = (CN_max-CN_min+1-N)*F/60;
(5)Inverter/collector does not start normally or shuts down duration Downtime too early, and unit h, sun_rise_time are Same day local sunrise, sun_set_time is same day locality sunset time, when F_t is that inverter same day head datas acquire Between, L_t is inverter same day end data acquisition time, acquisition time:C+e, inverter net cycle time:C, shift time: E, the calculation formula that inverter/collector does not start or shut down too early duration normally are:
Downtime=F_t-sun_rise_time+sun_set_time-L_t;
(6)Failure duration E_T, unit h, E_n are the error code of inverter same day nth bar data(Error bit serial number), W_t_n For the net cycle time of inverter same day nth bar data, N is same day total data item number, inverter net cycle time:C, when failure Long calculation formula is:
E_T = 0 for n in range(N):
if E_n != NA:
E_T = E_T+W_t_n-W_t_(n-1)
E_T=E_T/3600;
(7)Failure code E_code, E_code are that same day failure code removes the set after duplicate keys.
Preferably, the core evaluation index in the step 4 and the computational methods corresponding to core evaluation index are as follows:
(1)Same day electric power station system efficiency PR, GTI are the GTI data for the day grade that solargis api are provided, unit kwh/m2, E_out works as daily generation for power station, and the calculation formula of unit kwh, PR are:PR = (E_out/C)/GTI*100%;
(2)Inverter availability IAR, Online_Offgrid_Time are the online off-network duration of inverter, Offline_ Offgrid_Time is the offline off-network duration of inverter, and Downtime is that inverter/collector does not start normally or shuts down too early Duration, Light_Time are light irradiation time, and the calculation formula of IAR is:
IAR = (1-(Online_Offgrid_Time+Offline_Offgrid_Time+Downtime)/ Light_ Time)*100%;
(3)Communication availability CAR, Light_Time are light irradiation time, Downtime be inverter/collector do not start normally or Duration is shut down too early, and Offline_Time is that inverter communicates the offline duration of reason, and the calculation formula of CAR is:
CAR = (1-(Downtime+Offline_Time)/ Light_Time)*100%。
Preferably, the core evaluation index in the step 5 carries out hierarchical algorithms to power station state:
The first step:The grade scale of installed capacity calibration is as follows,
(1)The maximum historical power time, maximum historical power (power station) was more than the 90% of installed capacity between 11 points to 14 points, Less than 110%;
(2)The maximum historical power time is less than at 11 points or more than 14 point, and maximum historical power (power station) is less than installed capacity 90%, or it is more than 110%;
(3)The maximum historical power time, maximum historical power (power station) was less than the 90% of installed capacity between 11 points to 14 points, Or it is more than 110%;
(4)The maximum historical power time is less than at 11 points or more than 14 point, and maximum historical power (power station) is more than installed capacity 90%, it is less than 110%;
Conclusion:A1. the installed capacity registered is effective;A2. the installed capacity registered may be wrong, needs to calibrate;
Second step:The grade scale that PR values are examined is as follows,
(1)PR values>0.8,(2)PR values>=0.7&<0.8,(3)PR values<0.7;
Conclusion:B1. power station state:It is excellent, the power stations B2. state:It is good, the power stations B3. state:Difference;
Third walks:Fault detect one, grade scale is as follows:
(1)Inverter availability<90%& communicates availability<90%;
(2)Inverter availability<90%& communicates availability>90%;
(3)Inverter availability>90%& communicates availability<90%;
(4)Inverter availability>90%& communicates availability>90%;
Conclusion:C1. inverter availability and communication availability are relatively low, it is understood that there may be exception or potential risk;C2. inverter is available Rate and communication availability are relatively low, but are not significantly affected to power generation;C3. inverter availability is relatively low, it is understood that there may be it is abnormal or Potential risk;C4. inverter availability is relatively low, but is not significantly affected to power generation;C5. communication availability is relatively low, Ke Nengcun In exception or potential risk;C6. communication availability is relatively low, but is not significantly affected to power generation;C7. Non Apparent Abnormality;
4th step:Fault detect two, grade scale is as follows,
(1)The online off-network duration of inverter>1.5 hours or max (the online off-network duration of inverter, the offline off-network duration of inverter, Inverter/collector does not start or shuts down too early duration normally) the online off-network duration of=inverter;
(2)The offline off-network duration of inverter>1.5 hours or max (the online off-network duration of inverter, the offline off-network duration of inverter, Inverter/collector does not start or shuts down too early duration normally) the offline off-network duration of=inverter;
(3)Inverter communicates reason Offtime>(inverter communicates reason Offtime, inverter/acquisition within 1.5 hours or max Device does not start or shuts down too early duration normally)=inverter communication reason Offtime;
(4)Inverter/collector does not start or shuts down too early duration normally>1.5 hours or max (the online off-network duration of inverter, The offline off-network duration of inverter, inverter/collector do not start or shut down too early duration normally)=inverter/collector is normal Start or shut down too early duration;
(5)Failure duration>1.5 hour;
(6)The online off-network duration of inverter<The offline off-network duration of 1.5 hours & inverters<1.5 hours & inverters communication reason from The line time<& inverters/collector does not start or shuts down too early duration normally within 1.5 hours<1.5 hour;
Conclusion:D1. inverter long-time off-grid, D2. inverter off-grids, but power generation is not caused to significantly affect, D3. inverters are long Time shuts down, and D4. inverters are shut down, but does not cause to significantly affect to power generation, and D5. inverters are offline for a long time, D6. inverters from Line, but power generation is not caused to significantly affect, D7. inverters or the collector same day normally do not start or shut down too early, D8. inverters Or the collector same day does not start normally or shuts down too early, but power generation is not caused to significantly affect, D9. returns to failure code, D10. Without obvious fault;
5th step:Power station is evaluated, and grade scale is as follows,
(1)Installed capacity calibration meets 1, PR values and satisfaction 1 or 2, fault detect one is examined to meet 1 or 2 or 3, and fault detect two is not Meet 5, but meet 1 or 2 or 3 or 4,
PR calibrates conclusion:A1;Power station state:B1 or B2;Main problem:C2 or C4 or C6+D2 or D4 or D6 or D8;
(2)Installed capacity calibration meets 1, PR values and satisfaction 1 or 2, fault detect one is examined to meet 1 or 2 or 3, and fault detect two is full Foot 5, and meet 1 or 2 or 3 or 4,
PR calibrates conclusion:A1;Power station state:B1 or B2;Main problem:C2 or C4 or C6+D2 or D4 or D6 or D8+D9;
(3)Installed capacity calibration meets 1, PR values and satisfaction 1 or 2, fault detect one is examined to meet 4,
PR calibrates conclusion:A1;Power station state:B1 or B2;Main problem:C7+D10;
(4)Installed capacity calibration meets 1, PR values and satisfaction 3, fault detect one is examined to meet 1 or 2 or 3, and fault detect two is unsatisfactory for 5, but meet 1 or 2 or 3 or 4,
PR calibrates conclusion:A1;Power station state:B3;Main problem:C1 or C3 or C5+D1 or D3 or D5 or D7;
(5)Installed capacity calibration meets 1, PR values and satisfaction 3, fault detect one is examined to meet 1 or 2 or 3, and fault detect two meets 5, And meet 1 or 2 or 3 or 4,
PR calibrates conclusion:A1;Power station state:B3;Main problem:C2 or C4 or C6+D1 or D3 or D5 or D7+D9;
(6)Installed capacity calibration meets 1, PR values and satisfaction 3, fault detect one is examined to meet 4,
PR calibrates conclusion:A1;Power station state:B2;Main problem:C7+D10;
(7)Installed capacity calibration meets 2 or 3 or 4, and fault detect one meets 1 or 2, and fault detect two is unsatisfactory for 5, but meet 1 or 2 or 4,
PR calibrates conclusion:A2;Power station state:B3;Main problem:C1 or C3+D1 or D3 or D7;
(8)Installed capacity calibration meets 2 or 3 or 4, and fault detect one meets 1 or 2, and fault detect two meets 5, and meets 1 or 2 Or 4,
PR calibrates conclusion:A2;Power station state:B3;Main problem:C1 or C3+D1 or D3 or D7+D9;
(9)Installed capacity calibration meets 2 or 3 or 4, and fault detect one meets 3, and fault detect two is unsatisfactory for 5,
PR calibrates conclusion:A2;Power station state:B2;Main problem:C2+D6;
(10)Installed capacity calibration meets 2 or 3 or 4, and fault detect one meets 3, and fault detect two meets 5,
PR calibrates conclusion:A2;Power station state:B2;Main problem:C2+D6+D9;
(11)Installed capacity calibration meets 2 or 3 or 4, and fault detect one meets 4, and fault detect two meets 6,
PR calibrates conclusion:A2;Power station state:B1;Main problem:C7+D10;
(12)Installed capacity calibration meets 2 or 3 or 4, and fault detect one meets 4, and fault detect two is unsatisfactory for 5, is unsatisfactory for 6, but Meet 1 or 2 or 3 or 4,
PR calibrates conclusion:A2;Power station state:B1;Main problem:C7+D2 or D4 or D6 or D8;
(13)Installed capacity calibration meets 2 or 3 or 4, and fault detect one meets 4, and fault detect two meets 5, is unsatisfactory for 6, but full Foot 1 or 2 or 3 or 4,
PR calibrates conclusion:A2;Power station state:B1;Main problem:C7+D2 or D4 or D6 or D8+D9.
Preferably, the common treatment advice provided after grading to power station in the step 6 is as follows:
(1)Abnormal conditions:B2/B3+C7, possible cause 1:Inverter temperature is excessively high, processing mode:Check inverter infield Whether divulge information or is exposed to the sun in the sun;Possible cause 2:Brownout after component series connection, processing mode:It checks electric after component is connected Whether in voltage range, brownout system effectiveness can reduce pressure;Possible cause 3:Component is covered there are shade or dust, place Reason mode:Remove veil or cleaning assembly;Possible cause 4:Component setting angle with towards unreasonable, processing mode:Adjustment Component setting angle and direction;Possible cause 5:Open-circuit voltage has big difference between string formation, processing mode:Check opening for each road string formation 5v is not to be exceeded in road voltage, difference, reexamines circuit and connector;Possible cause 6:Power difference is excessive between string formation, processing mode: The recording power when access of each group of string formation, power difference is not to be exceeded 2% between string formation, possible cause 7:The distribution of MPPT components does not conform to Reason, processing mode:Check whether the component count that every road direct current per road MPPT inputs is consistent;Possible cause 8:Line loss is excessively high, Processing mode:Cable connector poor contact is checked for, cable is long, and line footpath is meticulous, there is voltage loss, and power is caused to damage Consumption;
(2)Abnormal conditions:A2, possible cause:Component power is incorrect, processing mode:Each block assembly power is checked before installation It is whether correct;
(3)Abnormal conditions:D1/D2, possible cause 1:Inverter overvoltage/under-voltage, processing mode:Check whether DC voltage occur Increase suddenly or reduce, while exchanging the case where output becomes 0, by long-range pressure regulation or inverter can be restarted handled;It can It can reason 2:Inverter overfrequency/under-frequency, processing mode:Frequency is less than 49.5 or more than 50.2 and AC power is 0;Possible cause 3:Inverter excess temperature, processing mode:It checks whether inverter temperature is excessively high, carries out ventilation and sun-proof measure;
(4)Abnormal conditions:D3/D4, possible cause:Grid power blackout, processing mode:After power system restoration power supply after can clear-cutting forestland, As do not restored that inverter can be restarted.
The advantageous effect that the present invention reaches is:The present invention proposes a kind of photovoltaic plant method for diagnosing faults, this method base In the data that inverter data collector is acquired, grade to the state of photovoltaic plant, it is that may be present to photovoltaic plant Failure is diagnosed and is provided treatment advice, is found out the power station for significant trouble occur and being badly in need of maintenance process, is automatically generated power station Daily paper provides O&M suggestion, reduces power station O&M cost, improves O&M efficiency.
Description of the drawings
Fig. 1 is the flow chart of the photovoltaic plant method for diagnosing faults of the present invention.
Specific implementation mode
The following further describes the specific embodiments of the present invention with reference to the drawings.
As shown in Figure 1, the technical solution adopted in the present invention is:
A kind of photovoltaic plant method for diagnosing faults, this approach includes the following steps:
Step 1:The related data for fault diagnosis is transferred from database,
Step 2:PR, which is calculated, according to the data transferred calibrates index;
Step 3:Diagnosis index is calculated according to the data transferred;
Step 4:Index, which is calibrated, according to PR calculates core evaluation index with diagnosis index;
Step 5:Power station Condition evaluation is provided according to core evaluation index;
Step 6:Common Abnormity treatment advice is provided according to power station Condition evaluation;
Step 7:Export O&M report.
Preferably, in the step 1, the data for fault diagnosis transferred from database include:
Installed capacity:C;The active sequence of inverter power history:P;Same day local sunrise:sun_rise_time;The same day works as Ground sunset time:sun_set_time;The DC voltage i of inverter same day nth bar data:DC_V_i_n;The inverter same day n-th The active power of data:P_n;The acquisition time of same day nth bar data:T_n;Same day total data item number:N;The inverter same day First data acquisition time:F_t;Inverter same day end data acquisition time:L_t;Same day inverter net cycle time is maximum Value:W_t_max;Same day inverter net cycle time minimum value:W_t_min;The same day adds up the maximum of transmission data item number in total Value:C_N_max;The same day adds up the minimum value of transmission data item number in total:C_N_min;Frequency acquisition:F;The inverter same day n-th The error code (error bit serial number) of data:E_n;Same day failure code:E_code.
Preferable scheme is that the computational methods that the PR in the step 2 calibrates index and calibrates corresponding to index are as follows:
(1)Installed capacity C, unit kwp, C=installed capacity;
(2)Inverter maximum historical power Max_P_I_i, Max_P_I are the maximum historical power of i-th of power station inverter, single Position is kwp, and P_i is the history active power sequence of i-th of inverter, and the unit of element is wp in sequence, and formula is:Max_P_ I_i = max(P_i)/1000;
(3)Power station maximum historical power Max_P_S, unit kwp, formula are:Max_P_S = ∑(Max_P_I_i);
(4)There is time when maximum historical power in maximum historical power time Max_P_T_i, i.e. i-th of power station inverter, are Local time makes for 24 hours, and formula is:Max_P_T_i = time(P_i.index(Max_P_I_i)).
Preferable scheme is that the computational methods in the step 3 corresponding to diagnosis index and diagnosis index are as follows:
(1)Light irradiation time Light_Time, unit h, sun_rise_time are same day local sunrise, sun_set_ Time is same day locality sunset time, and the calculation formula of light irradiation time is:
Light_Time=(sun_set_time-sun_rise_time)/3600;
(2)The online off-network duration Online_Offgrid_Time of inverter, unit h, DC_V_i_n are the inverter same day n-th The DC voltage i of data, unit A, P_n are the active power of inverter same day nth bar data, and T_n is same day nth bar number According to acquisition time, N is same day total data item number, and the calculation formula of the online off-network duration of inverter is:
for n in range(N): if (DC_V_i_n+DC_V_(i+1)_n+DC_V_(i+2)_n…>0)&(P_n==0): Online_Offgrid_Time = T_n + T_(n-1)Online_Offgrid_Time = T_n + T_(n-1) Online_Offgrid_Time = Online_Offgrid_Time/3600;
(3)The offline off-network duration Offline_Offgrid_Time of inverter, unit h, F_t are the inverter same day first item number According to acquisition time, L_t is inverter same day end data acquisition time, and W_t_max is that same day inverter net cycle time is maximum Value, W_t_min are same day inverter net cycle time minimum value, acquisition time:C+e, inverter net cycle time:C, offset Time:The calculation formula of e, the offline off-network duration of inverter is:
Offline_Offgrid_Time = ((L_t-F_t)-(W_t_max-W_t_min))/3600;
(4)Inverter communicates reason Offtime Offline_Time, and unit h, C_N_max are to add up on the same day to send number in total According to the maximum value of item number, C_N_min is the minimum value for adding up transmission data item number in total on the same day, and N is that same day real time data frame is total Number, F is frequency acquisition, be defaulted as 5 minutes every, inverter communicate reason Offtime calculation formula it is as follows:Offline_ Time = (CN_max-CN_min+1-N)*F/60;
(5)Inverter/collector does not start normally or shuts down duration Downtime too early, and unit h, sun_rise_time are Same day local sunrise, sun_set_time is same day locality sunset time, when F_t is that inverter same day head datas acquire Between, L_t is inverter same day end data acquisition time, acquisition time:C+e, inverter net cycle time:C, shift time: E, the calculation formula that inverter/collector does not start or shut down too early duration normally are:
Downtime=F_t-sun_rise_time+sun_set_time-L_t;
(6)Failure duration E_T, unit h, E_n are the error code of inverter same day nth bar data(Error bit serial number), W_t_n For the net cycle time of inverter same day nth bar data, N is same day total data item number, inverter net cycle time:C, when failure Long calculation formula is:
E_T = 0 for n in range(N): if E_n != NA: E_T = E_T+W_t_n-W_t_(n-1) E_T=E_ T/3600;
(7)Failure code E_code, E_code are that same day failure code removes the set after duplicate keys.
Preferable scheme is that the computational methods corresponding to core evaluation index and core evaluation index in the step 4 It is as follows:
(1)Same day electric power station system efficiency PR, GTI are the GTI data for the day grade that solargis api are provided, unit kwh/m2, E_out works as daily generation for power station, and the calculation formula of unit kwh, PR are:PR = (E_out/C)/GTI*100%;
(2)Inverter availability IAR, Online_Offgrid_Time are the online off-network duration of inverter, Offline_ Offgrid_Time is the offline off-network duration of inverter, and Downtime is that inverter/collector does not start normally or shuts down too early Duration, Light_Time are light irradiation time, and the calculation formula of IAR is:
IAR = (1-(Online_Offgrid_Time+Offline_Offgrid_Time+Downtime)/ Light_ Time)*100%;
(3)Communication availability CAR, Light_Time are light irradiation time, Downtime be inverter/collector do not start normally or Duration is shut down too early, and Offline_Time is that inverter communicates the offline duration of reason, and the calculation formula of CAR is:
CAR = (1-(Downtime+Offline_Time)/ Light_Time)*100%。
Preferable scheme is that the core evaluation index in the step 5 carries out hierarchical algorithms to power station state:
Evaluate basic logic in power station:
(1)Power station state is divided into excellent poor three-level, and PR calibrates index and determines whether same day PR is effective, when the same day, PR was effective, electricity State of standing is determined by same day PR;When the same day, PR was invalid, power station state is determined by inverter availability, communication availability;But work as Day PR is effective and relatively low, and when inverter availability, communication availability are higher, power station state is judged to good;
(2)Main problem is divided into two parts, and first part is basic judgement, is determined by inverter availability, communication availability, second Part is specific diagnosis, is provided according to diagnosis index;
(3)Evaluation content and exception and potential risk treatment advice content are shown in the specific method is as follows;
(4)Inverter availability is equal to inverter available duration divided by light irradiation time, and inverter available duration is equal to light irradiation time Subtract the offline off-network duration of inverter, the online off-network duration of inverter, inverter/collector not normally start or too early shut down when It is long, the online off-network duration of inverter is subtracted equal to inverter net cycle time, previous equation can be used for showing and evaluate main Problem, to avoid the occurrence of unexpected bug, when calculating, also uses previous equation;
(5)Continuous fault number of days, 30 days total number of days of internal fault are chronically at power station shape with the total number of days of half a year internal fault for finding State is the power station of difference, i.e. the number of days that state evaluation is difference continuously occurs in power station, and state evaluation is total day of difference in 30 days, in half a year Number.
Power station Assessment for classification algorithm steps are as follows:
The first step:The grade scale of installed capacity calibration is as follows,
(1)The maximum historical power time, maximum historical power (power station) was more than the 90% of installed capacity between 11 points to 14 points, Less than 110%;
(2)The maximum historical power time is less than at 11 points or more than 14 point, and maximum historical power (power station) is less than installed capacity 90%, or it is more than 110%;
(3)The maximum historical power time, maximum historical power (power station) was less than the 90% of installed capacity between 11 points to 14 points, Or it is more than 110%;
(4)The maximum historical power time is less than at 11 points or more than 14 point, and maximum historical power (power station) is more than installed capacity 90%, it is less than 110%;
Conclusion:A1. the installed capacity registered is effective;A2. the installed capacity registered may be wrong, needs to calibrate;
Second step:The grade scale that PR values are examined is as follows,
(1)PR values>0.8,(2)PR values>=0.7&<0.8,(3)PR values<0.7;
Conclusion:B1. power station state:It is excellent, the power stations B2. state:It is good, the power stations B3. state:Difference;
Third walks:Fault detect one, grade scale is as follows:
(1)Inverter availability<90%& communicates availability<90%;
(2)Inverter availability<90%& communicates availability>90%;
(3)Inverter availability>90%& communicates availability<90%;
(4)Inverter availability>90%& communicates availability>90%;
Conclusion:C1. inverter availability and communication availability are relatively low, it is understood that there may be exception or potential risk;C2. inverter is available Rate and communication availability are relatively low, but are not significantly affected to power generation;C3. inverter availability is relatively low, it is understood that there may be it is abnormal or Potential risk;C4. inverter availability is relatively low, but is not significantly affected to power generation;C5. communication availability is relatively low, Ke Nengcun In exception or potential risk;C6. communication availability is relatively low, but is not significantly affected to power generation;C7. Non Apparent Abnormality;
4th step:Fault detect two, grade scale is as follows,
(1)The online off-network duration of inverter>1.5 hours or max (the online off-network duration of inverter, the offline off-network duration of inverter, Inverter/collector does not start or shuts down too early duration normally) the online off-network duration of=inverter;
(2)The offline off-network duration of inverter>1.5 hours or max (the online off-network duration of inverter, the offline off-network duration of inverter, Inverter/collector does not start or shuts down too early duration normally) the offline off-network duration of=inverter;
(3)Inverter communicates reason Offtime>(inverter communicates reason Offtime, inverter/acquisition within 1.5 hours or max Device does not start or shuts down too early duration normally)=inverter communication reason Offtime;
(4)Inverter/collector does not start or shuts down too early duration normally>1.5 hours or max (the online off-network duration of inverter, The offline off-network duration of inverter, inverter/collector do not start or shut down too early duration normally)=inverter/collector is normal Start or shut down too early duration;
(5)Failure duration>1.5 hour;
(6)The online off-network duration of inverter<The offline off-network duration of 1.5 hours & inverters<1.5 hours & inverters communication reason from The line time<& inverters/collector does not start or shuts down too early duration normally within 1.5 hours<1.5 hour;
Conclusion:D1. inverter long-time off-grid, D2. inverter off-grids, but power generation is not caused to significantly affect, D3. inverters are long Time shuts down, and D4. inverters are shut down, but does not cause to significantly affect to power generation, and D5. inverters are offline for a long time, D6. inverters from Line, but power generation is not caused to significantly affect, D7. inverters or the collector same day normally do not start or shut down too early, D8. inverters Or the collector same day does not start normally or shuts down too early, but power generation is not caused to significantly affect, D9. returns to failure code, D10. Without obvious fault;
5th step:Power station is evaluated, and grade scale is as follows,
(1)Installed capacity calibration meets 1, PR values and satisfaction 1 or 2, fault detect one is examined to meet 1 or 2 or 3, and fault detect two is not Meet 5, but meet 1 or 2 or 3 or 4,
PR calibrates conclusion:A1;Power station state:B1 or B2;Main problem:C2 or C4 or C6+D2 or D4 or D6 or D8;
(2)Installed capacity calibration meets 1, PR values and satisfaction 1 or 2, fault detect one is examined to meet 1 or 2 or 3, and fault detect two is full Foot 5, and meet 1 or 2 or 3 or 4,
PR calibrates conclusion:A1;Power station state:B1 or B2;Main problem:C2 or C4 or C6+D2 or D4 or D6 or D8+D9;
(3)Installed capacity calibration meets 1, PR values and satisfaction 1 or 2, fault detect one is examined to meet 4,
PR calibrates conclusion:A1;Power station state:B1 or B2;Main problem:C7+D10;
(4)Installed capacity calibration meets 1, PR values and satisfaction 3, fault detect one is examined to meet 1 or 2 or 3, and fault detect two is unsatisfactory for 5, but meet 1 or 2 or 3 or 4,
PR calibrates conclusion:A1;Power station state:B3;Main problem:C1 or C3 or C5+D1 or D3 or D5 or D7;
(5)Installed capacity calibration meets 1, PR values and satisfaction 3, fault detect one is examined to meet 1 or 2 or 3, and fault detect two meets 5, And meet 1 or 2 or 3 or 4,
PR calibrates conclusion:A1;Power station state:B3;Main problem:C2 or C4 or C6+D1 or D3 or D5 or D7+D9;
(6)Installed capacity calibration meets 1, PR values and satisfaction 3, fault detect one is examined to meet 4,
PR calibrates conclusion:A1;Power station state:B2;Main problem:C7+D10;
PR calibration items confirm that PR is accurate, do not find that obvious fault, power station state are judged to good;
(7)Installed capacity calibration meets 2 or 3 or 4, and fault detect one meets 1 or 2, and fault detect two is unsatisfactory for 5, but meet 1 or 2 or 4,
PR calibrates conclusion:A2;Power station state:B3;Main problem:C1 or C3+D1 or D3 or D7;
(8)Installed capacity calibration meets 2 or 3 or 4, and fault detect one meets 1 or 2, and fault detect two meets 5, and meets 1 or 2 Or 4,
PR calibrates conclusion:A2;Power station state:B3;Main problem:C1 or C3+D1 or D3 or D7+D9;
(9)Installed capacity calibration meets 2 or 3 or 4, and fault detect one meets 3, and fault detect two is unsatisfactory for 5,
PR calibrates conclusion:A2;Power station state:B2;Main problem:C2+D6;
(10)Installed capacity calibration meets 2 or 3 or 4, and fault detect one meets 3, and fault detect two meets 5,
PR calibrates conclusion:A2;Power station state:B2;Main problem:C2+D6+D9;
(11)Installed capacity calibration meets 2 or 3 or 4, and fault detect one meets 4, and fault detect two meets 6,
PR calibrates conclusion:A2;Power station state:B1;Main problem:C7+D10;
(12)Installed capacity calibration meets 2 or 3 or 4, and fault detect one meets 4, and fault detect two is unsatisfactory for 5, is unsatisfactory for 6, but Meet 1 or 2 or 3 or 4,
PR calibrates conclusion:A2;Power station state:B1;Main problem:C7+D2 or D4 or D6 or D8;
(13)Installed capacity calibration meets 2 or 3 or 4, and fault detect one meets 4, and fault detect two meets 5, is unsatisfactory for 6, but full Foot 1 or 2 or 3 or 4,
PR calibrates conclusion:A2;Power station state:B1;Main problem:C7+D2 or D4 or D6 or D8+D9,
For(7)-(13)For, PR calibration items confirm that PR may be inaccurate, according to inverter availability and communication availability Determine power station state, be judged as difference if inverter availability is low, inverter availability height communication availability is low be judged as it is good, two Person all it is high be judged as it is excellent.
Preferable scheme is that the common treatment advice provided after grading to power station in the step 6 is as follows:
(1)Abnormal conditions:B2/B3+C7, possible cause 1:Inverter temperature is excessively high, processing mode:Check inverter infield Whether divulge information or is exposed to the sun in the sun;Possible cause 2:Brownout after component series connection, processing mode:It checks electric after component is connected Whether in voltage range, brownout system effectiveness can reduce pressure;Possible cause 3:Component is covered there are shade or dust, place Reason mode:Remove veil or cleaning assembly;Possible cause 4:Component setting angle with towards unreasonable, processing mode:Adjustment Component setting angle and direction;Possible cause 5:Open-circuit voltage has big difference between string formation, processing mode:Check opening for each road string formation 5v is not to be exceeded in road voltage, difference, reexamines circuit and connector;Possible cause 6:Power difference is excessive between string formation, processing mode: The recording power when access of each group of string formation, power difference is not to be exceeded 2% between string formation, possible cause 7:The distribution of MPPT components does not conform to Reason, processing mode:Check whether the component count that every road direct current per road MPPT inputs is consistent;Possible cause 8:Line loss is excessively high, Processing mode:Cable connector poor contact is checked for, cable is long, and line footpath is meticulous, there is voltage loss, and power is caused to damage Consumption;
(2)Abnormal conditions:A2, possible cause:Component power is incorrect, processing mode:Each block assembly power is checked before installation It is whether correct;
(3)Abnormal conditions:D1/D2, possible cause 1:Inverter overvoltage/under-voltage, processing mode:Check whether DC voltage occur Increase suddenly or reduce, while exchanging the case where output becomes 0, by long-range pressure regulation or inverter can be restarted handled;It can It can reason 2:Inverter overfrequency/under-frequency, processing mode:Frequency is less than 49.5 or more than 50.2 and AC power is 0;Possible cause 3:Inverter excess temperature, processing mode:It checks whether inverter temperature is excessively high, carries out ventilation and sun-proof measure;
(4)Abnormal conditions:D3/D4, possible cause:Grid power blackout, processing mode:After power system restoration power supply after can clear-cutting forestland, As do not restored that inverter can be restarted.
For photovoltaic plant method for diagnosing faults in the present invention compared with conventional method, this method can not only accurate judgement event The source of barrier simultaneously provides treatment advice, more can accurately weigh the influence size of failure generation, and in practical maintenance work, electricity Station failure takes place frequently, but not all failure all needs emergent management, and many failures can all be restored automatically, When especially facing the maintenance work of a large amount of distributed power stations, the accurate influence for weighing failure is to determine the priority right and wrong of O&M Often important actual demand.And the technology is compared with prior art, meets this demand, more meets the practical need of power station O&M It wants.
The foregoing is merely presently preferred embodiments of the present invention, is not intended to limit the invention, it is all the present invention spirit and Within principle, any modification, equivalent replacement, improvement and so on should all be included in the protection scope of the present invention.

Claims (7)

1. a kind of photovoltaic plant method for diagnosing faults, which is characterized in that this approach includes the following steps:
Step 1:The related data for fault diagnosis is transferred from database;
Step 2:PR, which is calculated, according to the data transferred calibrates index;
Step 3:Diagnosis index is calculated according to the data transferred;
Step 4:Index, which is calibrated, according to PR calculates core evaluation index with diagnosis index;
Step 5:Power station Condition evaluation is provided according to core evaluation index;
Step 6:Common Abnormity treatment advice is provided according to power station Condition evaluation;
Step 7:Export O&M report.
2. a kind of photovoltaic plant method for diagnosing faults according to claim 1, which is characterized in that in the step 1, from The data for fault diagnosis transferred in database include:
Installed capacity:C;
The active sequence of inverter power history:P;
Same day local sunrise:sun_rise_time;
Same day locality sunset time:sun_set_time;
The DC voltage i of inverter same day nth bar data:DC_V_i_n;
The active power of inverter same day nth bar data:P_n;
The acquisition time of same day nth bar data:T_n;
Same day total data item number:N;
Inverter same day head data acquisition times:F_t;
Inverter same day end data acquisition time:L_t;
Same day inverter net cycle time maximum value:W_t_max;
Same day inverter net cycle time minimum value:W_t_min;
The same day adds up the maximum value of transmission data item number in total:C_N_max;
The same day adds up the minimum value of transmission data item number in total:C_N_min;
Frequency acquisition:F;
The error code (error bit serial number) of inverter same day nth bar data:E_n;
Same day failure code:E_code.
3. a kind of photovoltaic plant method for diagnosing faults according to claim 1, which is characterized in that the PR in the step 2 The computational methods calibrated index and calibrated corresponding to index are as follows:
(1)Installed capacity C, unit kwp, C=installed capacity;
(2)Inverter maximum historical power Max_P_I_i, Max_P_I are the maximum historical power of i-th of power station inverter, single Position is kwp, and P_i is the history active power sequence of i-th of inverter, and the unit of element is wp in sequence, and formula is:Max_P_ I_i = max(P_i)/1000;
(3)Power station maximum historical power Max_P_S, unit kwp, formula are:Max_P_S = ∑(Max_P_I_i);
(4)There is time when maximum historical power in maximum historical power time Max_P_T_i, i.e. i-th of power station inverter, are Local time makes for 24 hours, and formula is:Max_P_T_i = time(P_i.index(Max_P_I_i)).
4. a kind of photovoltaic plant method for diagnosing faults according to claim 1, which is characterized in that diagnosed in the step 3 Computational methods corresponding to index and diagnosis index are as follows:
(1)Light irradiation time Light_Time, unit h, sun_rise_time are same day local sunrise, sun_set_ Time is same day locality sunset time, and the calculation formula of light irradiation time is:
Light_Time=(sun_set_time-sun_rise_time)/3600;
(2)The online off-network duration Online_Offgrid_Time of inverter, unit h, DC_V_i_n are the inverter same day n-th The DC voltage i of data, unit A, P_n are the active power of inverter same day nth bar data, and T_n is same day nth bar number According to acquisition time, N is same day total data item number, and the calculation formula of the online off-network duration of inverter is:
for n in range(N):
if (DC_V_i_n+DC_V_(i+1)_n+DC_V_(i+2)_n…>0)&(P_n==0):
Online_Offgrid_Time = T_n + T_(n-1)
Online_Offgrid_Time = T_n + T_(n-1)
Online_Offgrid_Time = Online_Offgrid_Time/3600;
(3)The offline off-network duration Offline_Offgrid_Time of inverter, unit h, F_t are the inverter same day first item number According to acquisition time, L_t is inverter same day end data acquisition time, and W_t_max is that same day inverter net cycle time is maximum Value, W_t_min are same day inverter net cycle time minimum value, acquisition time:C+e, inverter net cycle time:C, offset Time:The calculation formula of e, the offline off-network duration of inverter is:
Offline_Offgrid_Time = ((L_t-F_t)-(W_t_max-W_t_min))/3600;
(4)Inverter communicates reason Offtime Offline_Time, and unit h, C_N_max are to add up on the same day to send number in total According to the maximum value of item number, C_N_min is the minimum value for adding up transmission data item number in total on the same day, and N is that same day real time data frame is total Number, F is frequency acquisition, be defaulted as 5 minutes every, inverter communicate reason Offtime calculation formula it is as follows:Offline_ Time = (CN_max-CN_min+1-N)*F/60;
(5)Inverter/collector does not start normally or shuts down duration Downtime too early, and unit h, sun_rise_time are Same day local sunrise, sun_set_time is same day locality sunset time, when F_t is that inverter same day head datas acquire Between, L_t is inverter same day end data acquisition time, acquisition time:C+e, inverter net cycle time:C, shift time: E, the calculation formula that inverter/collector does not start or shut down too early duration normally are:
Downtime=F_t-sun_rise_time+sun_set_time-L_t;
(6)Failure duration E_T, unit h, E_n are the error code of inverter same day nth bar data(Error bit serial number), W_t_n For the net cycle time of inverter same day nth bar data, N is same day total data item number, inverter net cycle time:C, when failure Long calculation formula is:
E_T = 0 for n in range(N):
if E_n != NA:
E_T = E_T+W_t_n-W_t_(n-1)
E_T=E_T/3600;
(7)Failure code E_code, E_code are that same day failure code removes the set after duplicate keys.
5. a kind of photovoltaic plant method for diagnosing faults according to claim 1, which is characterized in that the core in the step 4 Computational methods corresponding to heart evaluation index and core evaluation index are as follows:
(1)Same day electric power station system efficiency PR, GTI are the GTI data for the day grade that solargis api are provided, unit kwh/m2, E_ Out works as daily generation for power station, and the calculation formula of unit kwh, PR are:PR = (E_out/C)/GTI*100%;
(2)Inverter availability IAR, Online_Offgrid_Time are the online off-network duration of inverter, Offline_ Offgrid_Time is the offline off-network duration of inverter, and Downtime is that inverter/collector does not start normally or shuts down too early Duration, Light_Time are light irradiation time, and the calculation formula of IAR is:
IAR = (1-(Online_Offgrid_Time+Offline_Offgrid_Time+Downtime)/ Light_ Time)*100%;
(3)Communication availability CAR, Light_Time are light irradiation time, Downtime be inverter/collector do not start normally or Duration is shut down too early, and Offline_Time is that inverter communicates the offline duration of reason, and the calculation formula of CAR is:
CAR = (1-(Downtime+Offline_Time)/ Light_Time)*100%。
6. a kind of photovoltaic plant method for diagnosing faults according to claim 1, which is characterized in that the core in the step 5 Heart evaluation index carries out hierarchical algorithms to power station state:
The first step:The grade scale of installed capacity calibration is as follows,
(1)The maximum historical power time, maximum historical power (power station) was more than the 90% of installed capacity between 11 points to 14 points, Less than 110%;
(2)The maximum historical power time is less than at 11 points or more than 14 point, and maximum historical power (power station) is less than installed capacity 90%, or it is more than 110%;
(3)The maximum historical power time, maximum historical power (power station) was less than the 90% of installed capacity between 11 points to 14 points, Or it is more than 110%;
(4)The maximum historical power time is less than at 11 points or more than 14 point, and maximum historical power (power station) is more than installed capacity 90%, it is less than 110%;
Conclusion:A1. the installed capacity registered is effective;A2. the installed capacity registered may be wrong, needs to calibrate;
Second step:The grade scale that PR values are examined is as follows,
(1)PR values>0.8,(2)PR values>=0.7&<0.8,(3)PR values<0.7;
Conclusion:B1. power station state:It is excellent, the power stations B2. state:It is good, the power stations B3. state:Difference;
Third walks:Fault detect one, grade scale is as follows:
(1)Inverter availability<90%& communicates availability<90%;
(2)Inverter availability<90%& communicates availability>90%;
(3)Inverter availability>90%& communicates availability<90%;
(4)Inverter availability>90%& communicates availability>90%;
Conclusion:C1. inverter availability and communication availability are relatively low, it is understood that there may be exception or potential risk;C2. inverter is available Rate and communication availability are relatively low, but are not significantly affected to power generation;C3. inverter availability is relatively low, it is understood that there may be it is abnormal or Potential risk;C4. inverter availability is relatively low, but is not significantly affected to power generation;C5. communication availability is relatively low, Ke Nengcun In exception or potential risk;C6. communication availability is relatively low, but is not significantly affected to power generation;C7. Non Apparent Abnormality;
4th step:Fault detect two, grade scale is as follows,
(1)The online off-network duration of inverter>1.5 hours or max (the online off-network duration of inverter, the offline off-network duration of inverter, Inverter/collector does not start or shuts down too early duration normally) the online off-network duration of=inverter;
(2)The offline off-network duration of inverter>1.5 hours or max (the online off-network duration of inverter, the offline off-network duration of inverter, Inverter/collector does not start or shuts down too early duration normally) the offline off-network duration of=inverter;
(3)Inverter communicates reason Offtime>(inverter communicates reason Offtime, inverter/acquisition within 1.5 hours or max Device does not start or shuts down too early duration normally)=inverter communication reason Offtime;
(4)Inverter/collector does not start or shuts down too early duration normally>1.5 hours or max (the online off-network duration of inverter, The offline off-network duration of inverter, inverter/collector do not start or shut down too early duration normally)=inverter/collector is normal Start or shut down too early duration;
(5)Failure duration>1.5 hour;
(6)The online off-network duration of inverter<The offline off-network duration of 1.5 hours & inverters<1.5 hours & inverters communication reason from The line time<& inverters/collector does not start or shuts down too early duration normally within 1.5 hours<1.5 hour;
Conclusion:D1. inverter long-time off-grid, D2. inverter off-grids, but power generation is not caused to significantly affect, D3. inverters are long Time shuts down, and D4. inverters are shut down, but does not cause to significantly affect to power generation, and D5. inverters are offline for a long time, D6. inverters from Line, but power generation is not caused to significantly affect, D7. inverters or the collector same day normally do not start or shut down too early, D8. inverters Or the collector same day does not start normally or shuts down too early, but power generation is not caused to significantly affect, D9. returns to failure code, D10. Without obvious fault;
5th step:Power station is evaluated, and grade scale is as follows,
(1)Installed capacity calibration meets 1, PR values and satisfaction 1 or 2, fault detect one is examined to meet 1 or 2 or 3, and fault detect two is not Meet 5, but meet 1 or 2 or 3 or 4,
PR calibrates conclusion:A1;Power station state:B1 or B2;Main problem:C2 or C4 or C6+D2 or D4 or D6 or D8;
(2)Installed capacity calibration meets 1, PR values and satisfaction 1 or 2, fault detect one is examined to meet 1 or 2 or 3, and fault detect two is full Foot 5, and meet 1 or 2 or 3 or 4,
PR calibrates conclusion:A1;Power station state:B1 or B2;Main problem:C2 or C4 or C6+D2 or D4 or D6 or D8+D9;
(3)Installed capacity calibration meets 1, PR values and satisfaction 1 or 2, fault detect one is examined to meet 4,
PR calibrates conclusion:A1;Power station state:B1 or B2;Main problem:C7+D10;
(4)Installed capacity calibration meets 1, PR values and satisfaction 3, fault detect one is examined to meet 1 or 2 or 3, and fault detect two is unsatisfactory for 5, but meet 1 or 2 or 3 or 4,
PR calibrates conclusion:A1;Power station state:B3;Main problem:C1 or C3 or C5+D1 or D3 or D5 or D7;
(5)Installed capacity calibration meets 1, PR values and satisfaction 3, fault detect one is examined to meet 1 or 2 or 3, and fault detect two meets 5, And meet 1 or 2 or 3 or 4,
PR calibrates conclusion:A1;Power station state:B3;Main problem:C2 or C4 or C6+D1 or D3 or D5 or D7+D9;
(6)Installed capacity calibration meets 1, PR values and satisfaction 3, fault detect one is examined to meet 4,
PR calibrates conclusion:A1;Power station state:B2;Main problem:C7+D10;
(7)Installed capacity calibration meets 2 or 3 or 4, and fault detect one meets 1 or 2, and fault detect two is unsatisfactory for 5, but meet 1 or 2 or 4,
PR calibrates conclusion:A2;Power station state:B3;Main problem:C1 or C3+D1 or D3 or D7;
(8)Installed capacity calibration meets 2 or 3 or 4, and fault detect one meets 1 or 2, and fault detect two meets 5, and meets 1 or 2 Or 4,
PR calibrates conclusion:A2;Power station state:B3;Main problem:C1 or C3+D1 or D3 or D7+D9
(9)Installed capacity calibration meets 2 or 3 or 4, and fault detect one meets 3, and fault detect two is unsatisfactory for 5,
PR calibrates conclusion:A2;Power station state:B2;Main problem:C2+D6
(10)Installed capacity calibration meets 2 or 3 or 4, and fault detect one meets 3, and fault detect two meets 5,
PR calibrates conclusion:A2;Power station state:B2;Main problem:C2+D6+D9
(11)Installed capacity calibration meets 2 or 3 or 4, and fault detect one meets 4, and fault detect two meets 6,
PR calibrates conclusion:A2;Power station state:B1;Main problem:C7+D10
(12)Installed capacity calibration meets 2 or 3 or 4, and fault detect one meets 4, and fault detect two is unsatisfactory for 5, is unsatisfactory for 6, but Meet 1 or 2 or 3 or 4,
PR calibrates conclusion:A2;Power station state:B1;Main problem:C7+D2 or D4 or D6 or D8
(13)Installed capacity calibration meets 2 or 3 or 4, and fault detect one meets 4, and fault detect two meets 5, is unsatisfactory for 6, but full Foot 1 or 2 or 3 or 4,
PR calibrates conclusion:A2;Power station state:B1;Main problem:C7+D2 or D4 or D6 or D8+D9.
7. a kind of photovoltaic plant method for diagnosing faults according to claim 1, which is characterized in that electricity in the step 6 The common treatment advice provided after grading of standing is as follows:
(1)Abnormal conditions:B2/B3+C7, possible cause 1:Inverter temperature is excessively high, processing mode:Check inverter infield Whether divulge information or is exposed to the sun in the sun;Possible cause 2:Brownout after component series connection, processing mode:It checks electric after component is connected Whether in voltage range, brownout system effectiveness can reduce pressure;Possible cause 3:Component is covered there are shade or dust, place Reason mode:Remove veil or cleaning assembly;Possible cause 4:Component setting angle with towards unreasonable, processing mode:Adjustment Component setting angle and direction;Possible cause 5:Open-circuit voltage has big difference between string formation, processing mode:Check opening for each road string formation 5v is not to be exceeded in road voltage, difference, reexamines circuit and connector;Possible cause 6:Power difference is excessive between string formation, processing mode: The recording power when access of each group of string formation, power difference is not to be exceeded 2% between string formation, possible cause 7:The distribution of MPPT components does not conform to Reason, processing mode:Check whether the component count that every road direct current per road MPPT inputs is consistent;Possible cause 8:Line loss is excessively high, Processing mode:Cable connector poor contact is checked for, cable is long, and line footpath is meticulous, there is voltage loss, and power is caused to damage Consumption;
(2)Abnormal conditions:A2, possible cause:Component power is incorrect, processing mode:Each block assembly power is checked before installation It is whether correct;
(3)Abnormal conditions:D1/D2, possible cause 1:Inverter overvoltage/under-voltage, processing mode:Check whether direct current occur Pressure increases or reduces suddenly, while exchanging the case where output becomes 0, by long-range pressure regulation or can restart inverter and is handled; Possible cause 2:Inverter overfrequency/under-frequency, processing mode:Frequency is less than 49.5 or more than 50.2 and AC power is 0;It may be former Because of 3:Inverter excess temperature, processing mode:It checks whether inverter temperature is excessively high, carries out ventilation and sun-proof measure;
(4)Abnormal conditions:D3/D4, possible cause:Grid power blackout, processing mode:After power system restoration power supply after can clear-cutting forestland, As do not restored that inverter can be restarted.
CN201810134423.0A 2018-02-09 2018-02-09 Photovoltaic power station fault diagnosis method Active CN108306614B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201810134423.0A CN108306614B (en) 2018-02-09 2018-02-09 Photovoltaic power station fault diagnosis method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201810134423.0A CN108306614B (en) 2018-02-09 2018-02-09 Photovoltaic power station fault diagnosis method

Publications (2)

Publication Number Publication Date
CN108306614A true CN108306614A (en) 2018-07-20
CN108306614B CN108306614B (en) 2020-07-10

Family

ID=62864759

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201810134423.0A Active CN108306614B (en) 2018-02-09 2018-02-09 Photovoltaic power station fault diagnosis method

Country Status (1)

Country Link
CN (1) CN108306614B (en)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109284840A (en) * 2018-10-30 2019-01-29 安徽尚特杰清洁能源集团有限公司 A kind of fault handling method of photovoltaic power station
CN112598141A (en) * 2020-11-09 2021-04-02 国网上海能源互联网研究院有限公司 Operation and maintenance method and system for regional photovoltaic power station
CN115642878A (en) * 2022-11-16 2023-01-24 国网山东省电力公司莱西市供电公司 Fault detection method and device for solar cell panel

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102566435A (en) * 2012-02-17 2012-07-11 冶金自动化研究设计院 Performance prediction and fault alarm method for photovoltaic power station
CN104167988A (en) * 2014-09-09 2014-11-26 河海大学常州校区 Method for judging efficiency anomaly alarms of photovoltaic system
CN105373967A (en) * 2015-11-19 2016-03-02 许昌许继软件技术有限公司 Game theory combined weighting-based photovoltaic power plant performance evaluation method
KR20160052954A (en) * 2014-10-29 2016-05-13 동신대학교산학협력단 System, apparatus and method for diagnosing sollar cell power generation
CN106992540A (en) * 2017-04-20 2017-07-28 中南大学 A kind of photovoltaic system and its open fault diagnostic method without power of communications optimizer

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102566435A (en) * 2012-02-17 2012-07-11 冶金自动化研究设计院 Performance prediction and fault alarm method for photovoltaic power station
CN104167988A (en) * 2014-09-09 2014-11-26 河海大学常州校区 Method for judging efficiency anomaly alarms of photovoltaic system
KR20160052954A (en) * 2014-10-29 2016-05-13 동신대학교산학협력단 System, apparatus and method for diagnosing sollar cell power generation
CN105373967A (en) * 2015-11-19 2016-03-02 许昌许继软件技术有限公司 Game theory combined weighting-based photovoltaic power plant performance evaluation method
CN106992540A (en) * 2017-04-20 2017-07-28 中南大学 A kind of photovoltaic system and its open fault diagnostic method without power of communications optimizer

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109284840A (en) * 2018-10-30 2019-01-29 安徽尚特杰清洁能源集团有限公司 A kind of fault handling method of photovoltaic power station
CN112598141A (en) * 2020-11-09 2021-04-02 国网上海能源互联网研究院有限公司 Operation and maintenance method and system for regional photovoltaic power station
CN115642878A (en) * 2022-11-16 2023-01-24 国网山东省电力公司莱西市供电公司 Fault detection method and device for solar cell panel
CN115642878B (en) * 2022-11-16 2023-02-28 国网山东省电力公司莱西市供电公司 Fault detection method and device for solar cell panel

Also Published As

Publication number Publication date
CN108306614B (en) 2020-07-10

Similar Documents

Publication Publication Date Title
CN111781463A (en) Auxiliary diagnosis method for abnormal line loss of transformer area
US20100106339A1 (en) Data acquisition apparatus and methodology for self-diagnosing of ac modules
US8290745B2 (en) Systems and methods for identifying faulty sensors within a power generation system
CN109298379B (en) Data monitoring-based intelligent electric meter field error abnormity identification method
CN108306614A (en) A kind of photovoltaic plant method for diagnosing faults
CN105762793B (en) The Distribution Network Failure loss of outage appraisal procedure of meter and distributed new
WO2016166991A1 (en) Diagnostic system for photovoltaic power generation equipment, and program
CN104485889B (en) For the fault detection method of the photovoltaic generation unit of multiple identical mounted angles
KR102020567B1 (en) A Diagnosis device of photovoltaic generation using output trend analysis
US20140089029A1 (en) Method and apparatus for scheduling maintenance of alternative energy systems
JP6901345B2 (en) Power control system storage battery deterioration diagnosis method
CN104834305B (en) Distribution automation terminal remote measurement exception analysis system and method based on DMS systems
CN109842372A (en) A kind of photovoltaic module fault detection method and system
Skomedal et al. Robust and fast detection of small power losses in large-scale PV systems
CN113011477B (en) Cleaning and completing system and method for solar irradiation data
CN110400001A (en) A kind of high-tension cable polling period optimization method based on risk assessment
CN114156865B (en) Low-voltage distribution network topology generation and fault prediction method considering state perception
CN115549138A (en) Energy storage capacity optimal configuration method and system in multiple complementary delivery systems
Hunt et al. Availability of utility-scale photovoltaic power plants
CN114707841A (en) Photovoltaic health degree evaluation system and method based on centralized monitoring
JP2012138555A (en) Solar cell module monitor system
Borza et al. An embedded microcontroller unit for PV module monitoring and fault detection
CN111401689A (en) Method, device and equipment for determining snowfall date of photovoltaic station and storage medium
JP2016075534A (en) Failure diagnosis method for photovoltaic generation device
CN110635767A (en) Photovoltaic system and method for inhibiting potential attenuation and monitoring insulation

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant
PE01 Entry into force of the registration of the contract for pledge of patent right
PE01 Entry into force of the registration of the contract for pledge of patent right

Denomination of invention: A fault diagnosis method for photovoltaic power station

Effective date of registration: 20200921

Granted publication date: 20200710

Pledgee: Bank of Nanjing Limited by Share Ltd. Wuxi branch

Pledgor: WUXI YINGZHEN TECHNOLOGY CO.,LTD.

Registration number: Y2020320010147

PC01 Cancellation of the registration of the contract for pledge of patent right
PC01 Cancellation of the registration of the contract for pledge of patent right

Date of cancellation: 20211213

Granted publication date: 20200710

Pledgee: Bank of Nanjing Limited by Share Ltd. Wuxi branch

Pledgor: WUXI YINGZHEN TECHNOLOGY CO.,LTD.

Registration number: Y2020320010147

CP03 Change of name, title or address
CP03 Change of name, title or address

Address after: F4, 200 Linghu Avenue, Xinwu District, Wuxi City, Jiangsu Province, 214000

Patentee after: Wuxi Yingzhen Technology Co.,Ltd.

Address before: 214000 Tianan smart city 2-405, 406, New District, Wuxi City, Jiangsu Province

Patentee before: WUXI YINGZHEN TECHNOLOGY CO.,LTD.