CN111211569A - Optimal configuration method for flexible load participating in power grid peak shaving - Google Patents

Optimal configuration method for flexible load participating in power grid peak shaving Download PDF

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CN111211569A
CN111211569A CN201911136918.8A CN201911136918A CN111211569A CN 111211569 A CN111211569 A CN 111211569A CN 201911136918 A CN201911136918 A CN 201911136918A CN 111211569 A CN111211569 A CN 111211569A
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load
peak
power
power grid
generator set
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Inventor
朱炳铨
徐奇锋
黄健
倪秋龙
李有春
谷炜
童存智
徐立中
马翔
陈益渊
赵良
金啸虎
张小聪
杨靖萍
杜浩良
沈曦
吴烨
沈绍斐
董立
尹文喆
方璇
吕磊炎
谢夏慧
康龙
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State Grid Corp of China SGCC
State Grid Zhejiang Electric Power Co Ltd
China Electric Power Research Institute Co Ltd CEPRI
Jinhua Power Supply Co of State Grid Zhejiang Electric Power Co Ltd
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State Grid Corp of China SGCC
State Grid Zhejiang Electric Power Co Ltd
China Electric Power Research Institute Co Ltd CEPRI
Jinhua Power Supply Co of State Grid Zhejiang Electric Power Co Ltd
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    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/28—Arrangements for balancing of the load in a network by storage of energy
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/28—Arrangements for balancing of the load in a network by storage of energy
    • H02J3/32—Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers

Abstract

The invention discloses an optimal configuration method for a flexible load to participate in power grid peak regulation, which comprises the following steps: s1: acquiring net load power of a power grid and a peak shaving range of a generator set; s2: judging whether the net load power is in the peak regulation range of the generator set, if so, starting the generator set to regulate the peak, otherwise, starting the flexible load to regulate the peak and dividing the flexible load peak into a flexible load positive peak regulation and a flexible load negative peak regulation; s3: and calculating the peak regulation requirement of the power grid, using the power grid side energy storage charging and the adjustable energy consumption load to participate in the flexible load negative peak regulation, and using the power grid side energy storage discharging and the interruptible load to participate in the flexible load positive peak regulation. The invention provides an optimal configuration method for peak shaving of a power grid by flexible load participation, which utilizes wide flexible load resources to participate in the peak shaving of the power grid so as to adjust the problems of increasing peak-valley difference, continuously increasing intermittent new energy ratio and insufficient peak shaving capacity of power receiving and generating sides outside a region in the power grid.

Description

Optimal configuration method for flexible load participating in power grid peak shaving
Technical Field
The invention relates to the technical field of power control, in particular to an optimal configuration method for a flexible load to participate in power grid peak shaving.
Background
At present, the continuous increase of the peak load of the power and the rapid development of intermittent energy increase the difficulty of the dispatching and running of the power grid, and bring a serious challenge to the regulation capacity of the power system. In recent years, with the deepening transformation of industrial structures and the continuous improvement of the living standard of people, the power grid has the trends of large seasonal difference of power demands, prominent peaks and continuously increased peak-valley difference of power consumption. The peak regulation and the standby resources of the power grid are obviously insufficient, and great pressure is generated on the power grid scheduling. On the other hand, for the extra-high voltage receiving end power grid, due to the fact that the proportion of the out-of-area power receiving and intermittent new energy is continuously increased, the adjustable resources on the power generation side are not fully revealed, and the peak regulation pressure of the power grid is further increased.
The flexible load has the advantages of high response speed, low economic cost, capability of reflecting power utilization requirements and response willingness of different users and the like. The flexible load is an important resource participating in the whole grid power balance, and by formulating a reasonable demand response mechanism, the flexible load participating in the grid regulation and control operation becomes an important link of the future power system operation and control.
The invention provides a power distribution network flexible load cooperative scheduling method based on a particle swarm algorithm, which is disclosed in China patent publication No. CN109066800A, published in 2018, 12 and 21, and comprises the following steps of 1, comprehensively considering the stabilization of new energy access, peak clipping and valley filling and the safe and economic operation of a power distribution network, and establishing an optimization target of a power distribution network flexible load cooperative scheduling model; step 2, comprehensively considering system balance constraint, network constraint, each distribution power supply and adjustable load constraint, wherein each constraint condition can flexibly perform parameter configuration and effective setting, and the constraint of the optimization target in the step 1 is established; and 3, finally, solving the optimization target of the load cooperative scheduling model meeting the constraint condition by using a particle swarm algorithm. The scheme does not disclose a specific calculation mode of the flexible load, and the flexible load cannot be classified and calculated to obtain a specific distribution mode of the flexible load.
Disclosure of Invention
The invention aims to solve the problems of increasing peak-to-valley difference, continuously increasing the ratio of the out-of-area power receiving and intermittent new energy and seriously insufficient peak regulation capability at the power generation side of the power grid in the prior art, and provides an optimal configuration method for the power grid peak regulation by using flexible load to participate in the power grid peak regulation by using wide flexible load resources to solve the problems of increasing peak-to-valley difference, continuously increasing the ratio of the intermittent new energy and insufficient peak regulation capability at the out-of-area power receiving and power generation side of the power grid.
In order to achieve the purpose, the invention adopts the following technical scheme:
the technical scheme adopted by the invention for solving the technical problems is as follows: an optimal configuration method for flexible load participating in power grid peak shaving is characterized by comprising the following steps:
s1: acquiring net load power of a power grid and a peak shaving range of a generator set;
s2: judging whether the net load power is in the peak regulation range of the generator set, if so, starting the generator set to regulate the peak, otherwise, starting the flexible load to regulate the peak and dividing the flexible load peak into a flexible load positive peak regulation and a flexible load negative peak regulation;
s3: and calculating the peak regulation requirement of the power grid, using the power grid side energy storage charging and the adjustable energy consumption load to participate in the flexible load negative peak regulation, and using the power grid side energy storage discharging and the interruptible load to participate in the flexible load positive peak regulation. The flexible load is added into the peak regulation of the power grid, the adaptability of the flexible load can be utilized, so that the peak regulation of the power grid unit can be carried out by using the flexible load when the peak regulation capacity of the power grid unit is insufficient, the peak-valley difference can be naturally formed by a user according to the electricity consumption habit of the user when the user uses electricity, particularly after intermittent new energy sources such as wind energy, solar energy and the like are added into the power grid, the peak-valley difference is increased, the adjustment of the peak-valley difference of the power grid becomes more complex and difficult, the adjustment of the peak-valley difference of the power grid by using the flexible load can greatly relieve the natural peak-valley difference caused by the user, some flexible loads stop working or reduce input power when the electricity consumption is in a peak, and some flexible loads start working or improve the input power when the electricity consumption is in a valley, and the electric energy in the power grid is further consumed.
Preferably, the step S1 includes the following specific steps: calculating the net load power in the power grid considering the reserve leaving rate through the power load demand, the connecting line transmission power and the new energy output, and calculating the maximum output P of the generator setmax,tAnd the minimum output P of the generator setmin,tThe peak regulation range is smaller than the maximum output of the generator set and larger than the minimum output of the generator set,
Figure RE-GDA0002399257210000021
Figure RE-GDA0002399257210000022
in the formula, NGFor power-adjustable units, Pmini,tThe lowest technical output, N, during normal peak shaving of the unit ifixFor fixing the number of units, PjFor a fixed unit output, Pmaxi,tThe highest technical output of the unit i. The net load power in the power grid of the reserve leaving rate is calculated through the power load demand, the tie line transmission power and the new energy output, the net load power in the power grid can be more practical, and the maximum output P of the generator set is calculatedmax,tAnd the minimum output P of the generator setmin,tThe generator set peak shaver range can be known for later calculation.
Preferably, the specific process of step S2 is as follows: and judging whether the net load power is larger than the minimum output of the generator set and smaller than the minimum output of the generator set, starting the peak shaving of the generator set if the net load power is larger than the minimum output of the generator set and smaller than the minimum output of the generator set, starting the negative peak shaving of the flexible load if the net load power is smaller than the minimum output of the generator set, and starting the positive peak shaving of the flexible load if the net load power is smaller than the maximum output of the generator set. The net load power is smaller than the minimum output of the generator set, which belongs to the condition of redundant power in the power grid, the flexible load negative peak regulation needs to be started when the power is consumed, the net load power is smaller than the maximum output of the generator set, which belongs to the condition of insufficient power in the power grid, and the flexible load positive peak regulation needs to be started when the power is added.
Preferably, the calculation process of calculating the peak shaving demand of the power grid in step S3 is as follows:
the calculation formula of the peak regulation requirement of the power grid when the flexible load is started to carry out the peak regulation is as follows:
Ppeak，t＝Pmin，t-(Pload，t+Ptie-line-Pwind，t-Pph，t)×Lr％，
the calculation formula of the power grid peak regulation demand when the flexible load is started to regulate the peak is as follows:
Ppeak，t＝(Pload，t+Ptie-line-Pwind，t-Pph，t)×Lr％-Pmax，t，
in the formula, Ppeak,tFor peak shaving requirements of the grid, Pmin,tFor the lowest output of the unit, when the net load power demand is less than the lowest output of the unit, the system needs a negative peak regulation resource, Pload,tFor system load prediction, Pwind,tPredicting output, P, for wind powerph,tPrediction of output for photovoltaics, LrFor reserve coefficient of the rotating system, Ptie-lineFor the tie plan, send out is positive and send in is negative.
Preferably, in step S3, the constraint equation that the grid-side energy storage participates in the flexible load peak shaving is as follows:
Figure RE-GDA0002399257210000031
Figure RE-GDA0002399257210000032
Figure RE-GDA0002399257210000033
Figure RE-GDA0002399257210000034
Figure RE-GDA0002399257210000035
in the formula, PessIs the maximum charge-discharge power of the energy storage system j,
Figure RE-GDA0002399257210000036
is the starting variable for the discharge operation of the energy storage system j,
Figure RE-GDA0002399257210000037
starting variable of charging operation of energy storage system j, Eessj,tThe electric quantity of the energy storage system j at the moment t;
Figure RE-GDA0002399257210000038
the charging efficiency of the energy storage system j,
Figure RE-GDA0002399257210000039
discharge efficiency, typically 0.9, EessjIn order to have the capacity of the energy storage system j,
Figure RE-GDA00023992572100000310
the minimum state of charge of the energy storage system is generally 0.1, and the maximum state of charge of the energy storage system is generally 1. The energy storage is a link of adding stored electric energy between a power generation side and a user side, the stored electric energy is stored when the power supply is sufficient, and the stored electric energy is output when the power supply is deficient. The energy storage can adjust the charging and discharging power and the charging and discharging state in real time, the peak load regulation capacity which is 2 times of the installed capacity of the energy storage can be built on the power grid side, efficient peak load shifting service can be provided through large-scale configuration, and the peak load regulation pressure of the regional power grid can be effectively relieved.
Preferably, the constraint equation for the interruptible load participating in the flexible load positive peak shaving in step S3 is as follows:
Figure RE-GDA0002399257210000041
Figure RE-GDA0002399257210000042
in the formula (I), the compound is shown in the specification,
Figure RE-GDA0002399257210000043
for the interruptible load i minimum duration of the interruption time,
Figure RE-GDA0002399257210000044
for the interruptible load i maximum sustainable interruption time, TIrli,tThe interruptible load i is sustained for an interrupt time,yIrl,tnumber of calls for interruptible load i, NOirl,iThe maximum number of calls for the interruptible load i. Interruptible loads may temporarily not use electrical energy when grid loads are at peak to reduce grid loads.
Preferably, in step S3, the adjustable energy consumption load is an electric vehicle adjustment load, and when the state of charge SOC of the electric vehicle does not meet the requirement of electric quantity, the electric vehicle is in a continuous charging stage until the requirement of full charge quantity is reached, and the actual charging power of the electric vehicle during the time period t when the electric vehicle adjustment load participates in the flexible load negative peak regulation is calculated as follows:
pEV,t＝PEV·SEV,t
Figure RE-GDA0002399257210000045
Figure RE-GDA0002399257210000046
Figure RE-GDA0002399257210000047
in the formula, pEV,tActual charging power of the electric automobile is t time period; pEVRated charging power for the electric vehicle; sEV,tThe charging state of the battery of the electric automobile is t time (the value is 0 to stop charging when power is off; the value is 1 to indicate the charging state when power is on); qtRepresenting the electric quantity SOC of the electric vehicle battery in the t period; qmaxRepresenting the maximum value of the SOC of the battery when the electric automobile reaches a full charge state; sOCt+1The residual capacity of the battery of the electric automobile is in a t +1 time period; sOCtThe residual capacity of the battery of the electric automobile in the period of t, η the charging efficiency, CbattIs the total capacity (kWh) of the electric vehicle battery; Δ t represents a time interval, herein taken to be 1 min; l is the travel distance (mile) of the electric automobile; eEVThe efficiency of the vehicle (mile/kWh) is determined. The electric vehicle can be charged when the power grid is in a valley so as to consume redundant electric energy of the power grid.
Preferably, in step S3, when the flexible load positive peak shaving does not meet the requirement, power is generated by buying outside, and when the flexible load negative peak shaving does not meet the requirement, the peak shaving service is bought outside.
Therefore, the invention has the following beneficial effects: (1) the flexible load is added into the peak regulation of the power grid, the adaptability of the flexible load can be utilized, so that the flexible load can be used for peak regulation when the peak regulation capacity of a power grid unit is insufficient, the peak-valley difference can be naturally formed by a user according to the electricity consumption habit of the user when the user uses electricity, particularly, the peak-valley difference is increased after intermittent new energy sources such as wind energy, solar energy and the like are added into the power grid, the adjustment of the peak-valley difference of the power grid is more complicated and difficult, the adjustment of the peak-valley difference of the power grid by using the flexible load can greatly relieve the natural peak-valley difference caused by the user, some flexible loads stop working or reduce input power when the electricity consumption is high, and some flexible loads start working or improve the input power when the electricity consumption is low, so that the electric energy in the power grid is further consumed;
(2) the net load power is smaller than the minimum output of the generator set, which belongs to the condition that redundant electric power exists in the power grid, the electric power can be consumed by starting the flexible load negative peak shaving, the net load power is smaller than the maximum output of the generator set, which belongs to the condition that the electric power in the power grid is not enough, and the electric power can be added by starting the flexible load positive peak shaving;
(3) the energy storage is a link of adding stored electric energy between a power generation side and a user side, the stored electric energy is stored when the power supply is sufficient, and the stored electric energy is output when the power supply is deficient. The energy storage can adjust the charging and discharging power and the charging and discharging state in real time, the peak load regulation capacity which is 2 times of the installed capacity of the energy storage can be built on the power grid side, the large-scale configuration can provide efficient peak load shifting service, and the peak load regulation pressure of the regional power grid is effectively relieved;
(4) interruptible loads can temporarily not use electric energy when the grid load is in a peak so as to reduce the grid load;
(5) the electric vehicle can be charged when the power grid is in a valley so as to consume redundant electric energy of the power grid;
drawings
FIG. 1 is a flow chart of the peak shaver demand resource optimization configuration considering flexible load resource participation in the present invention
Detailed Description
The invention is further described with reference to the following detailed description and accompanying drawings.
Example (b): firstly, analyzing the peak shaving resources which can be participated by the load side: the industrial power load has an extremely important position in the power utilization of the whole society, the industry with strong load transfer characteristics can be used as an adjustable resource on a demand side, and the potential of participating in the peak regulation of a power grid in a large scale is large. However, due to differences in electricity utilization modes and electricity utilization structures of various industries, response characteristics and response degrees to electricity prices or incentive policies may also be different. The peak shaving potential of the following classes of loads was mainly analyzed: the electricity utilization structure of the building material industry is flexible, the electricity utilization mode is easy to adjust, and the saved electricity fee is high after the peak-valley electricity price is responded, so that the response to the peak-load policy is positive, and the peak-load shifting production initiative is high. In the chemical industry, most of load curves change stably in the production process, and some production processes with low requirements on power supply reliability and electric energy quality can be adjusted to be carried out at night, so that the sensitivity of the production processes responding to the peak regulation policy is high. The metallurgical industry has high requirements on the reliability of power supply and limited peak regulation capacity. The textile industry has low response degree to the adjustment of the electricity price, the change of the electricity load is small, and the peak shifting effect is not obvious. The power consumption peak-valley difference in the mechanical industry is obvious, energy consumption equipment is more, the load change is larger, and the response peak regulation effect is better. The proportion of the electricity charge expense in the total cost is small in the pharmaceutical industry, and the economic benefit brought to enterprises by responding to the peak regulation policy is not significant. It can be seen that: the production mode is easy to adjust, the industry with high proportion of electricity charges has more positive response to the peak regulation policy, and the peak avoidance production has high initiative.
The electric quantity consumed by equipment such as an air conditioner, a water heater, a refrigerator and the like has a large proportion in the total electricity consumption of residents, and the loads have strong controllability and a certain energy storage function and can be used as main peak-load-adjustable resources. The load capacity after the air conditioner load of the commercial building is centrally controlled is considerable, the load capacity has high controllability and excellent peak regulation performance, and can be used as a preferred object of power grid peak regulation.
The energy storage is a link of adding stored electric energy between a power generation side and a user side, the stored electric energy is stored when the power supply is sufficient, and the stored electric energy is output when the power supply is deficient. The energy storage can adjust the charging and discharging power and the charging and discharging state in real time, the peak load regulation capacity which is 2 times of the installed capacity of the energy storage can be built on the power grid side, efficient peak load shifting service can be provided through large-scale configuration, and the peak load regulation pressure of the regional power grid can be effectively relieved.
The load side can participate in peak regulation resource analysis, and the invention selects the energy storage load of the power grid side, the load of the electric vehicle charging station and the interruptible load (industrial load) to participate in system peak regulation.
As shown in fig. 1, an optimal configuration method for a flexible load to participate in power grid peak shaving includes the following steps:
s1: the method comprises the following steps of obtaining net load power of a power grid and a peak regulation range of a generator set, and the specific process is as follows: calculating the net load power in the power grid considering the reserve leaving rate through the power load demand, the connecting line transmission power and the new energy output, and calculating the maximum output P of the generator setmax,tAnd the minimum output P of the generator setmin,tThe peak regulation range is smaller than the maximum output of the generator set and larger than the minimum output of the generator set,
Figure RE-GDA0002399257210000061
Figure RE-GDA0002399257210000062
in the formula, NGFor power-adjustable units, Pmini,tThe lowest technical output, N, during normal peak shaving of the unit ifixFor fixing the number of units, PjFor a fixed unit output, Pmaxi,tThe highest technical output of the unit i.
The power grid peak regulation objective function is as follows:
Figure RE-GDA0002399257210000071
in the formula: f1m,tFor peak shaving cost of flex load m at time t, F2tAnd (4) buying peak shaving service cost for outsourcing of the system area.
Wherein the flexible load peak shaving cost is as follows:
F1m,t＝PCm,t·prm,t·Δt
in the formula: pCm,tThe unit is MW for the peak shaving power of the load m at the time t, and for energy storage, the unit is charging power during negative peak shaving and the unit is discharging power during positive peak shaving; for the electric automobile, the electric automobile only participates in negative peak regulation, namely charging power; for interruptible loads, the load power can be interrupted by only participating in positive peak shaving. p is a radical ofrm,tThe unit is element/MWH, which is the peak load m peak load compensation price at the time t. Δ t is the peak shaver power duration, calculated as 15 minutes.
S2: judging whether the net load power is in the peak regulation range of the generator set, if so, starting the generator set to regulate the peak, otherwise, starting the flexible load to regulate the peak and dividing the flexible load peak regulation into a flexible load positive peak regulation and a flexible load negative peak regulation, wherein the specific process comprises the following steps: judging whether the net load power is larger than the minimum output of the generator set and smaller than the minimum output of the generator set, if so, starting the peak shaving of the generator set, if so, starting the negative peak shaving of the flexible load, and if so, starting the positive peak shaving of the flexible load;
s3: calculating the peak regulation demand of the power grid, wherein the calculation process is as follows:
the calculation formula of the peak regulation requirement of the power grid when the flexible load is started to carry out the peak regulation is as follows:
Ppeak，t＝Pmin，t-(Pload，t+Ptie-line-Pwind，t-Pph，t)×Lr％，
the calculation formula of the power grid peak regulation demand when the flexible load is started to regulate the peak is as follows:
Ppeak，t＝(Pload，t+Ptie-line-Pwind，t-Pph，t)×Lr％-Pmax，t，
in the formula, Ppeak,tFor peak shaving requirements of the grid, Pmin,tFor the lowest output of the unit, when the net load power demand is less than the lowest output of the unit, the system needs a negative peak regulation resource, Pload,tFor system load prediction, Pwind,tPredicting output, P, for wind powerph,tPrediction of output for photovoltaics, LrFor reserve coefficient of the rotating system, Ptie-lineFor the tie plan, send out is positive and send in is negative.
The method comprises the steps of using the power grid side for energy storage charging and adjustable energy consumption load to participate in flexible load negative peak regulation, using the power grid side for energy storage discharging and interruptible load to participate in flexible load positive peak regulation, buying power generation outside the area when the flexible load positive peak regulation does not meet the requirements, and buying peak regulation service outside the area when the flexible load negative peak regulation does not meet the requirements.
The outsourcing purchase peak regulation service cost is as follows:
F2t＝ΔPb,t·prb,t·Δt
in the formula: delta Pb,tAnd the auxiliary service power purchased outside the district is needed at the time t and has the unit of MW. p is a radical ofrb,tThe unit of the compensation price is yuan/MWH when power is purchased to the outside of the district at the time t. Δ t is the peak shaver power duration, calculated as 15 minutes.
The constraint formula of the energy storage participation of the power grid side in the flexible load peak regulation is as follows:
Figure RE-GDA0002399257210000081
Figure RE-GDA0002399257210000082
Figure RE-GDA0002399257210000083
Figure RE-GDA0002399257210000084
Figure RE-GDA0002399257210000085
in the formula, PessIs the maximum charge-discharge power of the energy storage system j,
Figure RE-GDA0002399257210000086
is the starting variable for the discharge operation of the energy storage system j,
Figure RE-GDA0002399257210000087
starting variable of charging operation of energy storage system j, Eessj,tThe electric quantity of the energy storage system j at the moment t;
Figure RE-GDA0002399257210000088
the charging efficiency of the energy storage system j,
Figure RE-GDA0002399257210000089
discharge efficiency, typically 0.9, EessjIn order to have the capacity of the energy storage system j,
Figure RE-GDA00023992572100000810
the minimum state of charge of the energy storage system is generally 0.1, and the maximum state of charge of the energy storage system is generally 1.
The constraint formula of the interruptible load participating in the flexible load positive peak regulation is as follows:
Figure RE-GDA00023992572100000811
Figure RE-GDA00023992572100000812
in the formula (I), the compound is shown in the specification,
Figure RE-GDA00023992572100000813
for the interruptible load i minimum duration of the interruption time,
Figure RE-GDA00023992572100000814
for the interruptible load i maximum sustainable interruption time, TIrli,tContinuing the interruption time for the interruptible load i; y isIrl,tNumber of calls for interruptible load i, NOirl,iThe maximum number of calls for the interruptible load i.
The adjustable energy consumption load is the electric automobile regulation load, and when electric automobile state of charge SOC does not reach the electric quantity requirement, will be in the continuous charging stage, and until reaching the requirement of full charge volume, the electric automobile is adjusted the load and is participated in the following formula of t time quantum electric automobile actual charging power calculation of flexible load peak regulation:
pEV,t＝PEV·SEV,t
Figure RE-GDA0002399257210000091
Figure RE-GDA0002399257210000092
Figure RE-GDA0002399257210000093
in the formula, pEV,tActual charging power of the electric automobile is t time period; pEVRated charging power for the electric vehicle; sEV,tThe charging state of the battery of the electric automobile is t time (the value is 0 to stop charging when power is off; the value is 1 to indicate the charging state when power is on); qtRepresenting the electric quantity SOC of the electric vehicle battery in the t period; qmaxRepresenting the maximum value of the SOC of the battery when the electric automobile reaches a full charge state; sOCt+1The residual capacity of the battery of the electric automobile is in a t +1 time period; sOCtThe residual capacity of the battery of the electric automobile in the period of t, η the charging efficiency, CbattIs the total capacity (kWh) of the electric vehicle battery; Δ t represents a time interval, herein taken to be 1 min; l is the travel distance (mile) of the electric automobile；EEVThe efficiency of the vehicle (mile/kWh) is determined.

Claims (8)

1. An optimal configuration method for flexible load participating in power grid peak shaving is characterized by comprising the following steps:
s1: acquiring net load power of a power grid and a peak shaving range of a generator set;
s2: judging whether the net load power is in the peak regulation range of the generator set, if so, starting the generator set to regulate the peak, otherwise, starting the flexible load to regulate the peak and dividing the flexible load peak into a flexible load positive peak regulation and a flexible load negative peak regulation;
s3: and calculating the peak regulation requirement of the power grid, using the power grid side energy storage charging and the adjustable energy consumption load to participate in the flexible load negative peak regulation, and using the power grid side energy storage discharging and the interruptible load to participate in the flexible load positive peak regulation.
2. The method according to claim 1, wherein the step S1 includes the following steps: calculating the net load power in the power grid considering the reserve leaving rate through the power load demand, the connecting line transmission power and the new energy output, and calculating the maximum output P of the generator setmax,tAnd the minimum output P of the generator setmin,tThe peak regulation range is smaller than the maximum output of the generator set and larger than the minimum output of the generator set,
Figure RE-FDA0002399257200000011
Figure RE-FDA0002399257200000012
in the formula, NGFor power-adjustable units, Pmini,tThe lowest technical output, N, during normal peak shaving of the unit ifixFor fixing the number of units, PjFor a fixed unit output, Pmaxi,tThe highest technical output of the unit i.
3. The method according to claim 1, wherein the step S2 includes the following steps: and judging whether the net load power is larger than the minimum output of the generator set and smaller than the minimum output of the generator set, starting the peak shaving of the generator set if the net load power is larger than the minimum output of the generator set and smaller than the minimum output of the generator set, starting the negative peak shaving of the flexible load if the net load power is smaller than the minimum output of the generator set, and starting the positive peak shaving of the flexible load if the net load power is smaller than the maximum output of the generator set.
4. The method according to claim 1, wherein the step of calculating the peak shaving requirement of the power grid in step S3 comprises:
the calculation formula of the peak regulation requirement of the power grid when the flexible load is started to carry out the peak regulation is as follows:
Ppeak,r＝Pmin，t-(Pload，t+Ptie-line-Pwind，t-Ph，t)×Lr％，
the calculation formula of the power grid peak regulation demand when the flexible load is started to regulate the peak is as follows:
Ppeak，t＝(Pload，t+Ptie-line-Pwind，t-Pph，t)×Lr％-Pmax，t，
in the formula, Ppeak,tFor peak shaving requirements of the grid, Pmin,tFor the lowest output of the unit, when the net load power demand is less than the lowest output of the unit, the system needs a negative peak regulation resource, Pload,tFor system load prediction, Pwind,tPredicting output, P, for wind powerph,tPrediction of output for photovoltaics, LrFor reserve coefficient of the rotating system, Ptie-lineFor the tie plan, send out is positive and send in is negative.
5. The method according to claim 1, wherein the constraint equation of the participation of the flexible load in the power grid peak shaving in the step S3 is as follows:
Figure RE-FDA0002399257200000021
Figure RE-FDA0002399257200000022
Figure RE-FDA0002399257200000023
Figure RE-FDA0002399257200000024
Figure RE-FDA0002399257200000025
in the formula, PessIs the maximum charge-discharge power of the energy storage system j,
Figure RE-FDA0002399257200000026
is the starting variable for the discharge operation of the energy storage system j,
Figure RE-FDA0002399257200000027
starting variable of charging operation of energy storage system j, Eessj,tThe electric quantity of the energy storage system j at the moment t;
Figure RE-FDA0002399257200000028
the charging efficiency of the energy storage system j,
Figure RE-FDA0002399257200000029
discharge efficiency, typically 0.9, EessjIn order to have the capacity of the energy storage system j,
Figure RE-FDA00023992572000000210
the minimum state of charge of the energy storage system is generally 0.1, and the maximum state of charge of the energy storage system is generally 1.
6. The method according to claim 1, wherein the constraint of the interruptible load participating in the peak shaving of the flexible load in step S3 is as follows:
Figure RE-FDA00023992572000000211
Figure RE-FDA00023992572000000212
in the formula (I), the compound is shown in the specification,
Figure RE-FDA00023992572000000213
for the interruptible load i minimum duration of the interruption time,
Figure RE-FDA00023992572000000214
for the interruptible load i maximum sustainable interruption time, TIrli,tFor interruptible load i for an interruption time, yIrl,tNumber of calls for interruptible load i, NOirl,iThe maximum number of calls for the interruptible load i.
7. The method according to claim 1, wherein the adjustable energy consumption load in step S3 is an electric vehicle adjustment load, and when the SOC of the electric vehicle does not meet the electric quantity requirement, the electric vehicle is in a continuous charging stage until the full charge requirement is met, and the actual charging power of the electric vehicle during the time period t when the electric vehicle adjustment load participates in the flexible load negative peak shaving is calculated as follows:
pEV,t＝PEV·SEV,t
Figure RE-FDA0002399257200000031
Figure RE-FDA0002399257200000032
Figure RE-FDA0002399257200000033
in the formula, pEV,tActual charging power of the electric automobile is t time period; pEVRated charging power for the electric vehicle; sEV,tThe charging state of the battery of the electric automobile is t time (the value is 0 to stop charging when power is off; the value is 1 to indicate the charging state when power is on); qtRepresenting the electric quantity SOC of the electric vehicle battery in the t period; qmaxRepresenting the maximum value of the SOC of the battery when the electric automobile reaches a full charge state; sOCt+1The residual capacity of the battery of the electric automobile is in a t +1 time period; sOCtThe residual capacity of the battery of the electric automobile in the period of t, η the charging efficiency, CbattIs the total capacity (kWh) of the electric vehicle battery; Δ t represents a time interval, herein taken to be 1 min; l is the travel distance (mile) of the electric automobile; eEVThe efficiency of the vehicle (mile/kWh) is determined.
8. The method according to claim 1, wherein in step S3, when the positive peak shaving of the flexible load fails to meet the requirement, power is purchased and generated outside the district, and when the negative peak shaving of the flexible load fails to meet the requirement, the peak shaving service is purchased outside the district.
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