CN105337310B - A kind of more microgrid Economical Operation Systems of cascaded structure light storage type and method - Google Patents
A kind of more microgrid Economical Operation Systems of cascaded structure light storage type and method Download PDFInfo
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- H02J3/383—
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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
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- H—ELECTRICITY
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- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
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- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
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- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
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Abstract
The invention discloses a kind of more microgrid Economical Operation Systems of cascaded structure light storage type and methods.The more micro-grid systems of this cascaded structure light storage type include primary system and control system, and primary system is in series by simultaneously off-network switch K1 by two sub- microgrids, including photovoltaic power generation array, accumulator and local load；Control system is made of sub- piconet controller, photovoltaic controller, energy storage controller, load governor and communication network.The more microgrid economic optimization methods of this cascaded structure light storage type considering that the distributed model predictive control algorithm of time-of-use tariffs establishes micro-capacitance sensor prediction model and optimization object function according to source lotus characteristic and operation characteristic in more microgrids using a kind of.The more micro-grid systems of cascaded structure light storage type and method that the present invention establishes, the research to carrying out the more micro-grid system planning and designing of light storage type, pattern switching and optimization operation have important engineering application value.
Description
Technical field
The invention belongs to micro-capacitance sensor fields, and in particular to a kind of more microgrid Economical Operation Systems of cascaded structure light storage type and side
Method.
Background technology
The energy is the important push agent of important substance basis for the survival of mankind and socio-economic development, however, with
The propulsion of process of industrialization and the quick increase of world population, conventional energy resource shortage and problem of environmental pollution increasingly show,
Demand through cannot be satisfied human social He improve the quality of living, for this purpose, coming from the long-term goal of human development
It sees, exploitation green regenerative energy sources have been inexorable trends.
Power grid based on micro-capacitance sensor form facilitates large-scale distributed energy access low and medium voltage distribution network system, not only can be with
The advantage of micro battery is given full play to, and the impact to bulk power grid can be reduced, in addition its flexible, controllable method of operation, makes it
As can effectively supplement the friendly unit of bulk power grid.Therefore, " micro-capacitance sensor " this concept is gradually by scholar both domestic and external and expert
Approved, becomes the developing direction of distributed generation technology.Distributed power generation is high with energy utilization rate, installation site is flexible,
It saves resource expense, reduce the advantages that line loss, therefore, distributed power generation becomes the important supplement of bulk power grid, it can subtract
Few bulk power grid total installation of generating capacity, balances the peak and low valley of bulk power grid electricity, improves power supply reliability.But with to distributed power generation
Research gradually deeply, itself there are the problem of also slowly highlight, on the one hand, distributed generation resource access bulk power grid after,
Since its uncontrollability can bring power grid impact；On the other hand, distributed power generation is easy to be influenced and cannot transmit electricity by environment
Stable electric energy, influences system stability；Meanwhile distributed generation resource cost of access is high, economy is poor, the above drawback pole
The big effective application for limiting distributed power generation.
Extensive with microgrid engineering builds up, and multiple neighbouring microgrids are more because that will be formed needed for interconnection mutually confession in certain area
Micro-grid system.Research and field operation experiences of the China in terms of light stores up more micro-grid systems at present is less, as light stores up micro-capacitance sensor
Into Rapid development stage, it is necessary to which development is a kind of to contain the more microgrid Economical Operation Systems of concatenated light storage type and method, to carry out
Light stores up the key technology research of more microgrids.
It finds by prior art documents, Chinese Patent Application No. is：201220002686.4 entitled：One
The micro-grid system of use for laboratory is planted, the micro-grid system in this application only includes primary system, is not directed to Control System Design
And economic optimization method, and the micro-grid system in this application is single microgrid, is not suitable for the key technology research of more microgrids.
Invention content
It is more to provide a kind of storage of light containing cascaded structure type in order to solve above-mentioned the shortcomings of the prior art by the present invention
Microgrid Economical Operation System and method, planning and designing, pattern switching and economical operation to carrying out the more micro-grid systems of light storage type are ground
Study carefully and is of great significance.
For achieving the above object, the present invention uses following technical scheme.
The more microgrid Economical Operation Systems of one kind storage of light containing cascaded structure type and method, including primary system and control system；
Consider the distributed model predictive control algorithm of time-of-use tariffs.
The primary system passes through simultaneously off-network switch K1 strings by two sub- microgrids (upper straton microgrid and lower straton microgrid)
Connection is constituted.Sub- microgrid includes 30kW photovoltaic power generation arrays, 66.7kWh accumulators and local load, lower straton microgrid at the middle and upper levels for it
Including 30kW photovoltaic power generation arrays, 30kWh accumulators and local load.Energy is cut-off by controlling PCC (points of common connection) and K1
Enough switch two sub- microgrids and off-network state：Upper straton microgrid is connected by points of common connection PCC with power distribution network, and control is passed through
Points of common connection PCC, which is cut-off, can realize that the entire grid-connected conversion with two kinds of operational modes of isolated island of more micro-grid systems, lower straton are micro-
Straton microgrid in K1 accesses is crossed by Netcom, and turning for two kinds of operational modes of lower straton micro-grid connection and isolated island can be realized by controlling K1
It changes.
The control system is by sub- piconet controller (upper straton piconet controller and lower straton piconet controller), photovoltaic
Controller, energy storage controller, load governor and communication network are constituted.Wherein, points of common connection PCC and simultaneously off-network switch K1 are logical
Communication bus is crossed directly to be connected with upper straton piconet controller and directly controlled by it；Photovoltaic controller, energy storage controller and negative
Lotus controller is controlled by the sub- microgrid internal controller respectively, and sub- piconet controller is connected by communication bus, can real-time Transmission should
Sub- microgrid electric information is to other sub- microgrids；Each micro- source controller is connected with inverter, and sub- piconet controller is by each control
Device assigns instruction, can control each micro- source output situation.
The more microgrid running optimizatin methods of cascaded structure light storage type of the present invention：Using the distributed model for considering time-of-use tariffs
Predictive control algorithm is established the optimal object function of each straton microgrid economy based on the prediction of source lotus, is controlled by each sub- microgrid
Device joint carries out Distributed Predictive Control, to realize that rolling optimization solves.
The distributed model predictive control algorithm of the consideration time-of-use tariffs predicts time-of-use tariffs and distributed model
Control algolithm combines, and distributed model predictive control algorithm belongs to one kind of model cootrol prediction algorithm, distributed model prediction
Control can be achieved to take into account other subsystems again while each subsystem optimizes control to the object function of itself respectively.
Peak-valley TOU power price refers to that the daily time is divided into peak, flat section, low ebb three according to user power utilization demand
Period or peak, two periods of low ebb, different electricity price levels is formulated day part respectively, to stimulate and encourage user actively to change
Become consumer behavior and power mode achievees the purpose that peak load shifting；The energy of different electricity price sections is realized according to one day time-of-use tariffs
Optimum management, in conjunction with the advantages of PREDICTIVE CONTROL, it can be achieved that the dominant eigenvalues at each moment are minimum in each electricity price section, power purchase at
This depends on dominant eigenvalues, and dominant eigenvalues minimum, that is, purchases strategies are minimum.
The optimization problem of whole system can be distributed in subsystems and solve by distributed model predictive control, subtract significantly
Light computation complexity.The optimal object function of each straton microgrid economy is established based on the prediction of source lotus, passes through each sub- microgrid center
Controller joint carries out Distributed Predictive Control, to realize that rolling optimization solves.Since PREDICTIVE CONTROL only realizes subsequent time
Purchases strategies it is minimum, and practical purchases strategies and time-of-use tariffs are in close relations, only use PREDICTIVE CONTROL to micro-capacitance sensor progress energy
Buret is managed, and can not carry out energy-optimised management according to the rate period being presently in and next rate period.Peak-valley TOU power price
Refer to that the daily time is divided by peak, flat section, three periods of low ebb or peak, low ebb two according to user power utilization demand
Period formulates day part different electricity price levels respectively, to stimulate and user is encouraged actively to change consumer behavior and electricity consumption side
Formula achievees the purpose that peak load shifting.
Compared with prior art, the invention has the advantages that and technique effect：
The more micro-grid systems of cascaded structure light storage type and method that the present invention establishes are planned carrying out the more micro-grid systems of light storage type
The research of design, pattern switching and optimization operation has important engineering application value.Distributed model predictive control can will be whole
The optimization problem of a system, which is distributed in subsystems, to be solved, and mitigates computation complexity significantly.According to one day time-of-use tariffs
The energy-optimised management for realizing different electricity price sections, in conjunction with the advantages of PREDICTIVE CONTROL, it can be achieved that each moment in each electricity price section
Purchases strategies are minimum, to reach the economy operation of microgrid more than a day.
Description of the drawings
Fig. 1 is a kind of more microgrid Economical Operation Systems of cascaded structure light storage type and the system electrical topological diagram of method.
Fig. 2 is the distributed model predictive control algorithm main-process stream that time-of-use tariffs are considered in the more microgrids of cascaded structure light storage type
Figure.
Fig. 3 a are Distributed Predictive Control flow charts in the more microgrids of cascaded structure light storage type.
Fig. 3 b are to carry out PREDICTIVE CONTROL schematic diagram to system using the distributed model predictive control based on cascaded structure.
Fig. 4 is simple grid-connected optimization algorithm simulation waveform；
Fig. 5 is the Distributed Predictive Control algorithm oscillogram for considering time-of-use tariffs.
Specific implementation mode
Below with reference to the drawings and the specific embodiments technical solution that the present invention will be described in detail, to become apparent from intuitive geography
Solution present invention essence, place is not described in detail especially if having below, is that those skilled in the art can refer to prior art realization
's.
Fig. 1 is a kind of more microgrid Economical Operation Systems of cascaded structure light storage type and the system electrical topological diagram of method.
The more micro-grid systems of a kind of cascaded structure light storage type comprising primary system and control system.
The primary system passes through simultaneously off-network switch K1 strings by two sub- microgrids (upper straton microgrid and lower straton microgrid)
Connection is constituted.Sub- microgrid includes 30kW photovoltaic power generation arrays, 66.7kWh accumulators and local load, lower straton microgrid at the middle and upper levels for it
Including 30kW photovoltaic power generation arrays, 30kWh accumulators and local load.Energy is cut-off by controlling PCC (points of common connection) and K1
Enough switch two sub- microgrids and off-network state：Upper straton microgrid is connected by points of common connection PCC with power distribution network, and control is passed through
Points of common connection PCC, which is cut-off, can realize that the entire grid-connected conversion with two kinds of operational modes of isolated island of more micro-grid systems, lower straton are micro-
Straton microgrid in K1 accesses is crossed by Netcom, and turning for two kinds of operational modes of lower straton micro-grid connection and isolated island can be realized by controlling K1
It changes.
The control system is by sub- piconet controller (upper straton piconet controller and lower straton piconet controller), photovoltaic
Controller, energy storage controller, load governor and communication network are constituted.Wherein, points of common connection PCC and simultaneously off-network switch K1 are logical
Communication bus is crossed directly to be connected with upper straton piconet controller and directly controlled by it；Photovoltaic controller, energy storage controller and negative
Lotus controller is controlled by the sub- microgrid internal controller respectively, and sub- piconet controller is connected by communication bus, can real-time Transmission should
Sub- microgrid electric information is to other sub- microgrids；Each micro- source controller is connected with inverter, and sub- piconet controller is by each control
Device assigns instruction, can control each micro- source output situation.
Fig. 2 is the distributed model predictive control algorithm main-process stream that time-of-use tariffs are considered in the more microgrids of cascaded structure light storage type
Figure.In figure, SOC1 *(t) indicate upper layer micro-capacitance sensor energy storage in the predicted value of t moment, SOC2 *(t) indicate that lower layer's micro-capacitance sensor energy storage exists
The predicted value of t moment.By the electricity price judgement to present period and subsequent period, and carried out about by energy-storage travelling wave tube t moment capacity
Beam enters PREDICTIVE CONTROL link shown in Fig. 3 after meeting condition.
In predictive control theory, prediction model is the basic model of a description system dynamic behaviour, has prediction
Function can last data and following input, forecasting system future output valve according to system.Based on dynamic matrix control
Shown in the predictive control model of algorithm such as formula (1).
Remember Y*=[y*(t+1),y*(t+2),…,y*(t+n)]T；
Δ U=[Δ u (t), Δ u (t+1) ..., Δ u (t+n-1)]T；
Y0=[y0(t+1),y0(t+2),…,y0(t+n)]T
In formula, y*(t+n) the system prediction output valve at following n-th of moment is indicated；anIndicate following n-th of moment effect
In the degree of system control amount；Δ u (t+n-1) indicates that following n-th of moment acts on the controlled quentity controlled variable of system；y0(t+1) it indicates
System prediction output valve when following n-th of moment acts on without Δ U；
Above formula can be reduced to formula (2)：
Y*=A Δs U+Y0 (2)
In formula, Y*Indicate the system prediction output valve at following n moment when effect；A indicates the following n moment effect
In the degree of system control amount；Δ U indicates that the following n moment acts on the controlled quentity controlled variable of system；Y0It indicates when no Δ U is acted on not
Carry out the system prediction output valve at n moment.
For the more microgrids of cascaded structure light storage type, need to decompose system model and object function.Using based on string
The distributed model predictive control for being coupled structure carries out PREDICTIVE CONTROL to system, shown in following Fig. 3 b.Wherein u be lower straton microgrid to
The information content of upper layer transport；Y is micro-grid system output quantity, is the dominant eigenvalues predicted value P of micro-capacitance sensor and power distribution networkgrid1 *
(t+1)；uiThe amount of individually entering that i is controlled for sub- microgrid, for the accordingly energy storage of sub- microgrid, the state parameter of load and photovoltaic；yiFor
Sub- piconet controller i output quantities, for the energy storage output power predicted value P of corresponding sub- microgridBSi *(t+1), i.e. the storage of subsequent time
It can output power reference.
Shown in object function such as formula (3)：
In formula：N is maximum predicted length；y*(t+i) it is the i-th moment system prediction output valve；yN(t+i) when being acted on without Δ U
The i-th moment of future system prediction output valve；λ (j) is the control coefrficient for being more than 0 at the j moment；- 1 moment of Δ u (t+j-1) jth
The controlled quentity controlled variable of effect and system.
The dominant eigenvalues P of micro-capacitance sensor and power distribution networkgrid1Can be negative, for the sake of simplicity, this example simplifies object function
Calculation amount.Shown in upper straton microgrid object function such as formula (4).
G1(i)=Pgrid1i *(t+1) (4)
Wherein i=1,2 ..., n.
By all probable value SOC of subsequent time energy storage SOC1i *(t+1) prediction model is acted on, corresponding connection is calculated
Winding thread power prediction value Pgrid1i *, i is reference numeral.It searches the minimum predicted value of dominant eigenvalues and exports corresponding number i*,
By shown in formula (5).
[i*]=min (G1) (5)
Pass throughConverse energy storage output power predicted value PBS1 *(t+1) using as subsequent time energy storage list
First value and power reference realizes subsequent time dominant eigenvalues Pgrid1(t+1) minimum.
Due to controlled device and the uncertainty of environment, after the effect that t moment implements controlled quentity controlled variable Δ U, at the t+1 moment
Reality output and prediction output are not necessarily equal, generate prediction error e (t+1)：
E (t+1)=y (t+1)-y*(t+1) (6)
Y (t+1) is t+1 moment reality output amounts in formula；y*(t+1) it is to predict output quantity at the t+1 moment.
This error corrects the predicted value to other following moment after being weighted, as shown in formula (7)：
yf *(t+2)=y*(t+2)+h·e(t+1) (7)
In formula, yf *(t+2) it is revised t+2 moment predicted value；y*(t+2) it is t+2 moment predicted values；H is that prediction misses
The weighting coefficient of difference, the present invention take h=1, then the object function after being corrected is：
G1(i)=Pgrid1i(t+1)+e1(t+1) (8)
Since PREDICTIVE CONTROL only realizes that the purchases strategies of subsequent time are minimum, and practical purchases strategies and time-of-use tariffs relationship
Closely, it only uses PREDICTIVE CONTROL and energy management is carried out to micro-capacitance sensor, it can not be according to the rate period and next electricity price being presently in
Period carries out energy-optimised management, realizes global optimum.This example realizes the energy of different electricity price sections according to one day time-of-use tariffs
Optimum management is measured, in conjunction with the advantages of PREDICTIVE CONTROL, realizes that the purchases strategies at each moment in each electricity price section are minimum, to reach
The economy operation of microgrid more than a day.
The economical operation that different electricity price sections are realized according to time-of-use tariffs realizes each electricity price section in conjunction with PREDICTIVE CONTROL advantage
The purchases strategies at interior each moment are minimum.Microgrid power vacancy is shown below：
Ploss=Pload1+Pload2-PPV1-PPV2 (9)
In formula：PlossFor power shortage；Pload1For the active power of load 1；Pload2For the active power of load 2；PPV1For
1 output power of photovoltaic；PPV2For 2 output power of photovoltaic.
When the electricity price of subsequent period is higher than present period and Ploss>When 0, energy storage electricity may cannot be satisfied Ploss, make next
The micro-capacitance sensor of period and the dominant eigenvalues all the period of time of power distribution network are 0.Since the electricity price of subsequent period is higher than present period, then
The power shortage of micro-capacitance sensor subsequent period will be supplied using power distribution network high price electricity.To improve economy, micro-capacitance sensor energy storage should work as
The preceding period charges, and energy storage meets the power shortage of subsequent period to greatest extent so that use of the subsequent time to power distribution network
Electricity is minimum, reduces purchases strategies of the micro-capacitance sensor to power distribution network.
T moment is set to triplet microgrid j energy storage SOC when t+1j(t+1) variable quantity is Vj(t+1), then have：
SOCj *(t+1)=SOCj(t)-Vj(t+1) (10)
In formula：SOCj *(t+1) it is predicted value of the energy storage at the t+1 moment；T is the unit step-length time；WBSjFor energy-storage travelling wave tube
Capacity.
Vj(t+1) in a linear relationship with the charge-discharge electric power of triplet microgrid energy storage when t+1.Energy storage discharge power is just, to fill
Electrical power is negative, since energy storage power bracket is：
PBSjmin≤PBSj≤PBSjmax (12)
In formula：PBSjminFor the maximum charge power of sub- microgrid j energy storage；PBSjmaxFor the maximum electric discharge work(of sub- microgrid j energy storage
Rate.
To solve institute's founding mathematical models, optimizing, the limit of single step-length are carried out to Economic optimization using rolling optimization method
Fixed condition is：
According to single step-length qualifications, respectively with Vj(t+1)=0 n sections are taken toward positive and negative centered on, then Vj(t+1) it can use 2n
+ 1 value.
According to each Vji(t+1) all probable value SOC of corresponding subsequent time energy storage SOC are obtainedji *(t+1), and make
For prediction model, corresponding dominant eigenvalues predicted value P is calculatedgrid1 *(t+1), i is reference numeral, i=1,2 ..., 2n+1.
According to formula (7), its corresponding target function value is calculated, and the number i corresponding to its minimum value is obtained by formula (5)*.It calculates
Number i*Corresponding energy storage output power predicted value PBS1 *(t+1) it and as subsequent time energy-storage units value and power reference, realizes
Subsequent time dominant eigenvalues Pgrid1(t+1) minimum.Realize purchases strategies minimum and rate for incorporation into the power network of the micro-capacitance sensor to power distribution network
Income highest.
Upper and lower each parameter of straton microgrid of known t moment, the then contact of t+1 moment energy storage charge state, upper straton microgrid
Linear heat generation rate, lower straton microgrid dominant eigenvalues difference following formula shown in；
Pgrid2 *(t+1)=Pload2 *(t+1)-PPV2 *(t+1)-PBS2 *(t+1)
(15)Pgrid1 *(t+1)=Pload1 *(t+1)-PPV1 *(t+1)-PBS1 *(t+1)+Pgrid2 *(t+1) (16)
Pgrid1 *(t+1)=Pload1 *(t+1)-PPV1 *(t+1)-PBS1 *(t+1)+Pgrid2 *(t+1) (17)
In formula：Parameter is marked with the predicted value that * is the moment；Stored energy capacitance, upper layer WBS1, lower layer WBS2；Energy storage
Power, upper layer PBS1(t), lower layer PBS2(t)；Load power, upper layer Pload1(t), lower layer Pload2(t)；Photovoltaic exports
Power, upper layer PPV1(t), lower layer PPV2(t)；Dominant eigenvalues, upper straton microgrid dominant eigenvalues, Pgrid1(t+1), lower layer
Sub- microgrid dominant eigenvalues Pgrid2(t+1), Pgridj(t+1) it is that timing electric energy transmits from top to bottom, it is then opposite when being negative.
Fig. 3 a are Distributed Predictive Control flow charts in the more microgrids of cascaded structure light storage type.System is simultaneously to upper straton microgrid
Model Predictive Control is carried out with lower straton microgrid, and the PREDICTIVE CONTROL result of lower straton microgrid is back to the pre- of upper straton microgrid
It surveys in control flow, finally obtains the minimum object function of dominant eigenvalues.
Convolution (14-17) can obtain：
Due to t moment, SOC1(t) and SOC2(t) it is known that Pload1(t+1)、Pload2It (t+1) can be according to demand history data
It obtains, PPV1(t+1)、PPV2(t+1) it can be obtained according to photovoltaic output history curve.To prevent each sub- microgrid energy storage from occurring overcharging
The case where putting, shown in the predicted value constraints such as formula (19) of energy storage SOC.
20%≤SOCj *(t+1)≤80% (19)
Formula (20) can be obtained by power-balance：
Pgrid1 *(t+1)=Pload1 *(t+1)+Pload2 *(t+1)-PPV1 *(t+1)-PPV2 *(t+1) (20)
-[PBS1 *(t+1)+PBS2 *(t+1)]
Due to t+1 moment Pload1 *(t+1)、Pload2 *(t+1)、PPV1 *(t+1)、PPV2 *(t+1) it is constant, therefore works as
PBS1 *(t+1)+PBS2 *(t+1) constant, then corresponding Pgrid1 *(t+1) constant.It can thus be appreciated that working as V1(t+1)>0 and V2(t+1)<0
Or V1(t+1)<0 and V2(t+1)>When 0, meet certain group [V of the condition1(t+1), V2(t+1)] there are one group of [V1(t+1), 0] or
[0, V2(t+1)] so that [V1(t+1), 0] or [0, V2(t+1)] P corresponding togrid1 *(t+1) with [V1(t+1), V2(t+1)] right
The P answeredgrid1 *(t+1) equal, and work as V1(t+1)>0 and V2(t+1)<When 0, the running wastage of energy storage device can be increased.Therefore, it needs
The constraints of PREDICTIVE CONTROL is shown below.
(V1(t+1)≥0∩V2(t+1)≥0)∪(V1(t+1)≤0∩V2(t+1)≤0) (21)
That is V1(t+1) and V2(t+1) symbol is identical.
Fig. 4, Fig. 5 are simple grid-connected optimization algorithm simulation waveform respectively and consider that the Distributed Predictive Control of time-of-use tariffs is calculated
Method oscillogram.
Through statistics, in simple grid-connected optimization algorithm, micro-capacitance sensor is 139.0 yuan to the purchases strategies of power distribution network, on
Net income of electricity charge is 105.3 yuan, and micro-capacitance sensor total electricity bill is 33.7 yuan；In the Distributed Predictive Control algorithm feelings for considering time-of-use tariffs
Under condition, micro-capacitance sensor is 126.7 yuan to the purchases strategies of power distribution network, and online income of electricity charge is 134.3 yuan, micro-capacitance sensor total electricity bill is-
7.4 first.One day profit that can obtain 7.4 yuan is run using based on the micro-capacitance sensor of time-of-use tariffs and the energy management algorithm of PREDICTIVE CONTROL
Profit.Numerical results demonstrate the feasibility and economy of proposed optimization algorithm.
The foregoing is merely the preferred embodiments of the present invention and invention, are not intended to limit its scope of the claims, every utilization
Equivalent structure transformation made by description of the invention and accompanying drawing content, is directly or indirectly used in other related technical areas,
It is included within the scope of the present invention.
Claims (1)
1. a kind of more microgrid Economical Operation Systems of cascaded structure light storage type, including primary system and control system, it is characterised in that：
Primary system includes upper straton microgrid and lower straton microgrid, and upper straton microgrid and lower straton microgrid pass through simultaneously off-network switch series connection structure
At；Sub- microgrid includes that 30kW photovoltaic power generation arrays, 66.7kWh accumulators and local load, lower straton microgrid include at the middle and upper levels for it
30kW photovoltaic power generation arrays, 30kWh accumulators and local load；Being cut-off by control points of common connection and simultaneously off-network can
Switch the sub- microgrid of both of the aforesaid and off-network state：Upper straton microgrid is connected by points of common connection with power distribution network, and control is passed through
Points of common connection, which is cut-off, can realize that the entire grid-connected conversion with two kinds of operational modes of isolated island of more micro-grid systems, lower straton microgrid are logical
It crosses and off-network switch accesses upper straton microgrid, two kinds of lower straton micro-grid connection and isolated island can be realized by control and off-network switch
The conversion of operational mode；
The control system is by upper straton piconet controller, lower straton piconet controller, photovoltaic controller, energy storage controller, negative
Lotus controller and communication network are constituted, wherein the points of common connection with and off-network switch by communication bus directly with two
A sub- microgrid is connected；
Micro- source controller, that is, photovoltaic controller, energy storage controller and load governor, respectively by upper straton piconet controller control
System, two sub- piconet controllers are connected by communication bus, can mutually transmit electric information in sub- microgrid in real time；Each micro- source control
Device is connected with inverter, and each sub- piconet controller can control each micro- source output situation by assigning instruction to each micro- source controller；
Using the distributed model predictive control algorithm for considering time-of-use tariffs, each straton microgrid economy is established based on the prediction of source lotus
Optimal object function carries out Distributed Predictive Control, to realize that rolling optimization is solved by each sub- piconet controller joint；
Peak-valley TOU power price refers to that the daily time is divided into peak, flat section, three periods of low ebb or height according to user power utilization demand
Peak, two periods of low ebb, different electricity price levels is formulated day part respectively, to stimulate and encourage user actively to change consumption row
To achieve the purpose that peak load shifting with power mode；The energy-optimised pipe of different electricity price sections is realized according to one day time-of-use tariffs
Reason, in conjunction with the advantages of PREDICTIVE CONTROL, it can be achieved that the dominant eigenvalues at each moment are minimum in each electricity price section, purchases strategies depend on
In dominant eigenvalues, dominant eigenvalues minimum, that is, purchases strategies are minimum.
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