CN106374517B - A kind of battery energy storage system control method for reducing photovoltaic plant abandoning light and rationing the power supply - Google Patents

A kind of battery energy storage system control method for reducing photovoltaic plant abandoning light and rationing the power supply Download PDF

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CN106374517B
CN106374517B CN201611003881.8A CN201611003881A CN106374517B CN 106374517 B CN106374517 B CN 106374517B CN 201611003881 A CN201611003881 A CN 201611003881A CN 106374517 B CN106374517 B CN 106374517B
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energy storage
battery energy
power
soc
storage system
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CN106374517A (en
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魏达
刘平平
刘杰
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Hunan Dewopu Electric Co ltd
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Hunan Dworp New Energy Co Ltd
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    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/28Arrangements for balancing of the load in a network by storage of energy
    • H02J3/32Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
    • H02J3/383
    • 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
    • Y02E10/56Power conversion systems, e.g. maximum power point trackers
    • 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
    • Y02E40/00Technologies for an efficient electrical power generation, transmission or distribution
    • Y02E40/10Flexible AC transmission systems [FACTS]
    • 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
    • Y02E70/00Other energy conversion or management systems reducing GHG emissions
    • Y02E70/30Systems combining energy storage with energy generation of non-fossil origin

Abstract

The present invention relates to a kind of reduction photovoltaic plants to abandon the battery energy storage system control method that light is rationed the power supply.Battery energy storage system includes: the N number of light storage connecting with power grid and net unit, abandoning photocontrol module, the charge-discharge electric power distribution module of battery energy storage system, box step-up transformer corresponding to each light storage and net unit;Simultaneously net unit includes: photovoltaic generation unit, battery energy storage unit for each light storage, and each photovoltaic generation unit is connected to three phase network low-pressure side PCC grid entry point, and corresponding battery energy storage unit is connected to three phase network low-pressure side PCC grid entry point;The progress of the present invention compared with the existing technology is: reducing the construction cost of primary substation in light electricity storage station, improves the economy of photovoltaic power generation.

Description

A kind of battery energy storage system control method for reducing photovoltaic plant abandoning light and rationing the power supply
Technical field:
The present invention relates to the power supply systems of photovoltaic plant, and in particular to a kind of battery storage for reducing photovoltaic plant abandoning light and rationing the power supply It can system control method.
Background technique:
Currently, photovoltaic power generation is widely accepted as renewable energy, meanwhile, photovoltaic power generation fast development is power grid Bring challenge is run, it is current to pass through the sides such as construction auxiliary facility, reinforcement grid structure, construction peak load stations and water power bundling Formula enhances power grid to the receiving ability of photovoltaic power generation.To a certain extent by various restrictions, power grid needs flexible the above means Efficient means realize the submitting and consumption of photovoltaic power generation.Large-scale energy-storage system provides the scheduling of flexibility and reliability for power grid Resource can improve the intermittence and uncertain characteristic of photovoltaic power generation, improve peak load regulation network fm capacity, realize operation of power networks Safe and stable and economical operation.
Currently, light stores up in the design in grid-connected power station, battery energy storage system unit as a whole by two-way inverter and is built If individual boosting change access high voltage AC bus, realization photovoltaic and energy-storage system is grid-connected.Primary substation in light electricity storage station Higher cost, seriously affected the economy of photovoltaic power generation, needed to design new light storage grid-connect mode.
Summary of the invention:
The present invention proposes a kind of light storage grid integration mode, the cheaper photovoltaic plant battery energy storage system of design cost System control method.Concrete scheme is as follows:
A kind of battery energy storage system for reducing photovoltaic plant abandoning light and rationing the power supply, comprising: the N number of light connecting with power grid stores up grid-connected list Member, abandon photocontrol module, battery energy storage system battery energy storage system charge-discharge electric power distribution module, each light stores up grid-connected list Box step-up transformer corresponding to member;The each light storage and net unit include: photovoltaic generation unit, battery energy storage unit, Each photovoltaic generation unit successively passes through DC/AC inverter, DC/DC converter is connected to three phase network low-pressure side PCC grid entry point, Corresponding battery energy storage unit is connected to three phase network low-pressure side PCC grid entry point by DC/AC inverter;N number of light storage is simultaneously Net unit is independent of one another, accesses High-voltage AC Network by corresponding step-up transformer.
In the present invention, battery energy storage system refers to the general name of all battery energy storage units;Photovoltaic generating system refers to all The general name of photovoltaic generation unit.
Preferably, further includes: on-scene communication supervisor, remote terminal control module, the on-scene communication management Machine is with light storage and net unit, abandoning photocontrol module, the charge-discharge electric power distribution module of battery energy storage system connect, and pass through interconnection Net is connect with remote terminal control module, realizes remote control.
A kind of reduction photovoltaic plant realized in above system abandons the battery energy storage system control method that light is rationed the power supply, including Following steps:
Step 1: system operation judges whether battery energy storage system meets service condition, meets and go to step 2, otherwise to be shipped Row;
Step 2: detecting current photovoltaic plant overall output power PPV, grid-connected power P is limited with current photovoltaic plantLThan Compared with judging whether to meet PPV≥PL, meet, go to step 3, otherwise go to step 7;PPVRepresent photovoltaic plant integrally instantaneous output work Rate, PLIt represents photovoltaic plant and limits grid-connected power;
Step 3: the real-time SOC value of detection photovoltaic plant system stored energy system, judge whether to meet charge condition SOC < SOCMax, it is to go to step 4, otherwise goes to step 12;SOC be battery energy storage system remaining capacity state, value range be 0~ 1, it indicates that battery discharge is complete as SOC=0, indicates that battery is completely filled with as SOC=1;SOCMaxTo be able to satisfy battery energy storage Lotus state of charge when the maximum battery capacity of system charge condition;
Step 4: computing redundancy power PPV_B=PPV- PL, judge whether redundant power meets PPV_B<PB_R, meet, turn step Rapid 5, otherwise go to step 6;PB_RFor the sum of the rated power of battery energy storage system;
Step 5: electric power station system P to be outputB=PPV- PLPerformance number through battery energy storage system charge-discharge electric power distribute Module issues each energy-storage units power instruction;PBThe performance number to charge for photovoltaic generating system to battery energy storage system;Then Return step 1;
Step 6: the charge-discharge electric power distribution module of battery energy storage system is by PB=PB_RPower instruction be assigned to each electricity Pond energy-storage units;PBThe performance number to charge for photovoltaic generating system to battery energy storage system;Then return step 1;
Step 7: the real-time SOC value of detection photovoltaic plant battery energy storage system, judge whether to meet discharging condition SOC > SOCMin, it is to go to step 8, otherwise goes to step 11;SOCMinHold to be able to satisfy the minimum battery of battery energy storage system discharging condition Lotus state of charge when amount;
Step 8: calculating notch power PPV_O=PL- PPV, judge whether to meet PPV_O<PB_R, meet, go to step 9, otherwise Go to step 10;PB_RFor the rated power of present battery energy-storage system;
Step 9: discharge energy-storage control unit is by PO=PL- PPVPerformance number be allocated and be issued to each battery energy storage Unit, each energy-storage units electric discharge;POFor the performance number of battery energy storage system electric discharge;Then return step 1;
Step 10: discharge energy-storage control unit is by PO=PB_RPerformance number be allocated and be issued to each battery energy storage list Member.Each energy-storage units electric discharge;Then return step 1;
Step 11: photovoltaic plant normal power generation, battery energy storage system enter hot stand-by duty;Then return step 1;
Step 12: photovoltaic plant abandons light, then return step 1.
The progress of the present invention compared with the existing technology is:
(1) battery energy storage unit and photovoltaic generation unit share box step-up transformer, and the two is connected in parallel on three-phase alternating current Net low-pressure side forms basic cutting-in control unit, reduces the construction cost of primary substation in light electricity storage station, improves photovoltaic hair The economy of electricity;
(2) in control method in embodiment, abandoning photocontrol strategy is different from conventional light electricity storage station control, especially In a preferred approach, principal component analytical method is introduced, the power point when each battery energy storage system energy storage, electric discharge is optimized Match, each battery energy storage unit is made to keep in balance as far as possible, can make the running and comparing of each energy-storage units balanced in this way, the service life tends to Consistency, the operation and maintenance and equipment for being conducive to photovoltaic plant update.
Detailed description of the invention:
Fig. 1 is the composed structure schematic diagram of system in embodiment.
Fig. 2 is the logic diagram of control method of the present invention;In figure, PQIt represents photovoltaic plant and abandons optical power, PPV_outRepresent light The power that overhead utility is fed to power grid.
Fig. 3 is the specific implementation process logic diagram of control method step 5 of the present invention.
Fig. 4 is the specific implementation process logic diagram of control method step 9 of the present invention.
Specific embodiment:
Embodiment:
In conjunction with Fig. 1-4, illustrate implementation process of the invention.
A kind of battery energy storage system for reducing photovoltaic plant abandoning light and rationing the power supply, comprising: the N number of light connecting with power grid stores up grid-connected list Member abandons photocontrol module, the charge-discharge electric power distribution module of battery energy storage system, and each light stores up box corresponding to simultaneously net unit Step-up transformer, on-scene communication supervisor, remote terminal control module;Simultaneously net unit includes: photovoltaic power generation for each light storage Unit, battery energy storage unit, each photovoltaic generation unit successively passes through DC/AC inverter, DC/DC converter is connected to three-phase electricity Net low-pressure side PCC grid entry point, corresponding battery energy storage unit are connected to three phase network low-pressure side PCC simultaneously by DC/AC inverter Site;Simultaneously net unit is independent of one another for N number of light storage, passes through corresponding step-up transformer and accesses 35kV High-voltage AC Network;Institute State on-scene communication supervisor and light storage and net unit, abandoning photocontrol module, the charge-discharge electric power distribution module of battery energy storage system Connection, and connect by internet with remote terminal control module, realize remote control.The battery energy storage unit takes liquid stream Battery energy storage system, power 500kW, capacity 1500kWh;The power of photovoltaic generation unit is 1MW;Photovoltaic generation unit The box step-up transformer of 1000kVA is shared with battery energy storage system, the two is connected in parallel on three-phase AC grid low-pressure side, and composition is basic Cutting-in control unit.
The control method realized in above system, includes the following steps:
Step 1: system operation judges whether battery energy storage system meets service condition, meets and go to step 2, otherwise to be shipped Row;
Step 2: detecting current photovoltaic plant overall output power PPV, grid-connected power P is limited with current photovoltaic plantLThan Compared with judging whether to meet PPV≥PL, meet, go to step 3, otherwise go to step 7;PPVRepresent photovoltaic plant integrally instantaneous output work Rate, PLIt represents photovoltaic plant and limits grid-connected power;
Step 3: the real-time SOC value of detection photovoltaic plant system stored energy system, judge whether to meet charge condition SOC < SOCMax, it is to go to step 4, otherwise goes to step 12;SOC be battery energy storage system remaining capacity state, value range be 0~ 1, it indicates that battery discharge is complete as SOC=0, indicates that battery is completely filled with as SOC=1;SOCMaxTo be able to satisfy battery energy storage Lotus state of charge when the maximum battery capacity of system charge condition;
Step 4: computing redundancy power PPV_B=PPV- PL, judge whether redundant power meets PPV_B<PB_R, meet, turn step Rapid 5, otherwise go to step 6;PB_RFor the sum of the rated power of battery energy storage system;
Step 5: the charge-discharge electric power distribution module of battery energy storage system is by PB=PPV- PLPerformance number distribution, and issue It charges to each battery energy storage unit;PBIt is photovoltaic generation unit to the charge power value of pond energy-storage system;Detailed process It is as follows:
Step 5.1: detecting the lotus state of charge SOC of each battery energy storage unitiIt is whether at equilibrium, it is to go to step 5.2, otherwise go to step 5.3;
Step 5.2: the charge power value progress of battery energy storage system is linear respectively, and it is issued to each energy-storage units;So After go to step 1;
Step 5.3: with the SOC of each battery energy storage uniti, voltage, electric current, charge cutoff SOCMax, electric discharge cut-off SOCMin、 The output power of photovoltaic cells is parameter in corresponding and net unit, carries out principal component analysis, specifically:
Step 5.3.1: with the SOC of each battery energy storage uniti, voltage, electric current, charge cutoff SOCMaxi, electric discharge cut-off SOCMini, the output power of photovoltaic cells is parameter in corresponding and net unit;
Step 5.3.2: building sample matrix
For N number of battery energy storage unit, B is usedijIndicate the grid-connected index of jth item of battery energy storage unit i, wherein i=1,2, 3 ... N, j=1,2,3,4,5;
Step 5.3.3: converting sample matrix X, so that Y=[yij]n×p
Step 5.3.4: standardized transformation is done to Y and obtains normalized matrix:
Wherein,The mean value and standard deviation that jth arranges in respectively Y gusts;
Step 5.3.5: the correlation matrix of normalized matrix Z:
Step 5.3.6: characteristic value is sought: | R- λ IP|=0, solve P eigenvalue λ1≥λ1≥λ1……λP≥0;
Step 5.3.7: m value, method are determined are as follows:
To each λj, j=1,2 ... ... m, solving equations Rb=λjB, so that phasor
Step 5.3.8: z is found outj=(zi1,zi1,........ziP)TM principal component component, obtain decision matrix;
Step 5.3.9: weight model is established
In formula, F1, F2... ... FmThe m main compositions obtained after respectively analyzing, uijFor decision matrix coefficient;
Step 5.3.10: building composite evaluation function obtains the weight of each battery energy storage unit charge-discharge electric power:
κ=λ12……λm
Step 5.3.11: the weight coefficient of each battery energy storage unit energy storage power is obtained are as follows:
Step 5.3.12: each battery energy storage unit energy storage performance number P is determinedBi:
PBi=PBωi, (i=1,2 ... N),
Then, return step 1;
Step 6: the charge-discharge electric power distribution module of battery energy storage system is by PB=PB_RPower instruction be assigned to each electricity Pond energy-storage units;PBThe performance number to charge for photovoltaic generating system to battery energy storage system;Then return step 1;
Step 7: the real-time SOC value of detection photovoltaic plant battery energy storage system, judge whether to meet discharging condition SOC > SOCMin, it is to go to step 8, otherwise goes to step 11;SOCMinHold to be able to satisfy the minimum battery of battery energy storage system discharging condition Lotus state of charge when amount;
Step 8: calculating notch power PPV_O=PL- PPV, judge whether to meet PPV_O<PB_R, meet, go to step 9, otherwise Go to step 10;PB_RFor the rated power of present battery energy-storage system;
Step 9: discharge energy-storage control unit is by PO=PL- PPVPerformance number be allocated and be issued to each battery energy storage Unit, each energy-storage units electric discharge;POFor the performance number of battery energy storage system electric discharge;Detailed process is as follows:
Step 9.1: detecting the lotus state of charge SOC of each battery energy storage unitiIt is whether at equilibrium, it is to go to step 9.2, otherwise go to step 9.3;
Step 9.2: the progress of battery energy storage system discharge power value is linear respectively, and it is issued to each energy storage sub-unit;So After go to step 1;
Step 9.3: with the SOC of each battery energy storage uniti, voltage, electric current, charge cutoff SOCMax, electric discharge cut-off SOCMin、 The output power of photovoltaic cells is parameter in corresponding and net unit, carries out principal component analysis, specifically:
Step 9.3.1: with the SOC of each battery energy storage uniti, voltage, electric current, charge cutoff SOCMax, electric discharge cut-off SOCMin, the output power of photovoltaic cells is parameter in corresponding and net unit;
Step 9.3.2: building sample matrix
For N number of battery energy storage unit, B is usedijIndicate the grid-connected index of jth item of battery energy storage unit i, wherein i=1,2, 3 ... N, j=1,2,3,4,5;
Step 9.3.3: converting sample matrix X, so that Y=[yij]n×p
Step 9.3.4: standardized transformation is done to Y and obtains normalized matrix:
Wherein,The mean value and standard deviation that jth arranges in respectively Y gusts;
Step 9.3.5: the correlation matrix of normalized matrix Z:
Step 9.3.6: characteristic value is sought: | R- λ IP|=0, solve P eigenvalue λ1≥λ1≥λ1……λP≥0;
Step 9.3.7: m value, method are determined are as follows:
To each λj, j=1,2 ... ... m, solving equations Rb=λjB, so that phasor
Step 9.3.8: z is found outj=(zi1,zi1,........ziP)TM principal component component, obtain decision matrix;
Step 9.3.9: weight model is established
In formula, F1, F2... ... FmThe m main compositions obtained after respectively analyzing, uijFor decision matrix coefficient;
Step 9.3.10: building composite evaluation function obtains the weight of each battery energy storage cell discharge power:
κ=λ12……λm
Step 9.3.11: the weight of each battery energy storage cell discharge power is obtained are as follows:
Step 9.3.12: each battery energy storage cell discharge performance number P is determinedOi:
PO_i=POωi, (i=1,2 ... N),
Then, return step 1;
Step 10: discharge energy-storage control unit is by PO=PB_RPerformance number be allocated and be issued to each battery energy storage list Member.Each energy-storage units electric discharge;Then return step 1;
Step 11: photovoltaic plant normal power generation, battery energy storage system enter hot stand-by duty;Then return step 1;
Step 12: photovoltaic plant abandons light, then return step 1.

Claims (5)

1. a kind of photovoltaic plant that reduces abandons the battery energy storage system control method that light is rationed the power supply,
The battery energy storage system includes: the N number of light storage connecting with power grid and net unit, abandoning photocontrol module, battery energy storage system The charge-discharge electric power distribution module of system, each light store up box step-up transformer corresponding to simultaneously net unit;Each light storage is simultaneously Net unit includes: photovoltaic generation unit, battery energy storage unit, and each photovoltaic generation unit successively passes through DC/AC inverter, DC/ DC converter is connected to three phase network low-pressure side PCC grid entry point, and corresponding battery energy storage unit is connected to by DC/AC inverter Three phase network low-pressure side PCC grid entry point;Simultaneously net unit is independent of one another for N number of light storage, passes through corresponding box step-up transformer Access High-voltage AC Network;
It is characterized by comprising the following steps:
Step 1: system operation judges whether battery energy storage system meets service condition, meets and go to step 2, otherwise wait run;
Step 2: detecting current photovoltaic plant overall output power PPV, grid-connected power P is limited with current photovoltaic plantLCompare, sentences It is disconnected whether to meet PPV≥PL, meet, go to step 3, otherwise go to step 7;PPVRepresent photovoltaic plant entirety instantaneous output power, PLGeneration Mass color overhead utility limits grid-connected power;
Step 3: the real-time SOC value of detection photovoltaic plant system stored energy system judges whether to meet charge condition SOC < SOCMax, It is to go to step 4, otherwise goes to step 12;SOC is the remaining capacity state of battery energy storage system, and value range is 0~1, works as SOC It indicates that battery discharge is complete when=0, indicates that battery is completely filled with as SOC=1;SOCMaxIt is filled to be able to satisfy battery energy storage system Lotus state of charge when the maximum battery capacity of electric condition;
Step 4: computing redundancy power PPV_B=PPV- PL, judge whether redundant power meets PPV_B<PB_R, meet, go to step 5, Otherwise 6 are gone to step;PB_RFor the rated power of battery energy storage system;
Step 5: electric power station system P to be outputB=PPV- PLPerformance number through battery energy storage system charge-discharge electric power distribution module will Each energy-storage units power instruction issues;PBThe performance number to charge for photovoltaic generating system to battery energy storage system;Then step is returned Rapid 1;
Step 6: the charge-discharge electric power distribution module of battery energy storage system is by PB=PB_RPower instruction be assigned to the storage of each battery It can unit;PBThe performance number to charge for photovoltaic generating system to battery energy storage system;Then return step 1;
Step 7: the real-time SOC value of detection photovoltaic plant battery energy storage system judges whether to meet discharging condition SOC > SOCMin, It is to go to step 8, otherwise goes to step 11;SOCMinWhen minimum battery capacity to be able to satisfy battery energy storage system discharging condition Lotus state of charge;
Step 8: calculating notch power PPV_O=PL- PPV, judge whether to meet PPV_O<PB_R, meet, go to step 9, otherwise turn to walk Rapid 10;PB_RFor the rated power of present battery energy-storage system;
Step 9: discharge energy-storage control unit is by PO=PL- PPVPerformance number be allocated and be issued to each battery energy storage unit, Each energy-storage units electric discharge;POFor the performance number of battery energy storage system electric discharge;Then return step 1;
Step 10: discharge energy-storage control unit is by PO=PB_RPerformance number be allocated and be issued to each battery energy storage unit, respectively Energy-storage units electric discharge;Then return step 1;
Step 11: photovoltaic plant normal power generation, battery energy storage system enter hot stand-by duty;Then return step 1;
Step 12: photovoltaic plant abandons light, then return step 1.
2. a kind of photovoltaic plant that reduces abandons the battery energy storage system control method that light is rationed the power supply, feature according to claim 1 It is, detailed process is as follows for the step 5:
Step 5.1: detecting the lotus state of charge SOC of each battery energy storage unitiIt is whether at equilibrium, it is to go to step 5.2, it is no Then go to step 5.3;
Step 5.2: the charge power value progress of battery energy storage system is linear respectively, and it is issued to each energy-storage units;Then turn Step 1;
Step 5.3: with the SOC of each battery energy storage uniti, voltage, electric current, charge cutoff SOCMax, electric discharge cut-off SOCMin, it is corresponding And the output power of photovoltaic cells is parameter in net unit, carries out principal component analysis, determines the energy storage function of each battery energy storage unit Rate.
3. a kind of photovoltaic plant that reduces abandons the battery energy storage system control method that light is rationed the power supply, feature according to claim 2 It is, the step 5.3 specifically:
Step 5.3.1: with the SOC of each battery energy storage uniti, voltage, electric current, charge cutoff SOCMaxi, electric discharge cut-off SOCMini、 The output power of photovoltaic cells is parameter in corresponding and net unit;
Step 5.3.2: building sample matrix
For N number of battery energy storage unit, B is usedijIndicate the grid-connected index of jth item of battery energy storage unit i, wherein i=1,2,3 ... N, j=1,2,3,4,5;
Step 5.3.3: converting sample matrix X, so that Y=[yij]n×p
Step 5.3.4: standardized transformation is done to Y and obtains normalized matrix:
Wherein, The mean value and standard deviation that jth arranges in respectively Y gusts;
Step 5.3.5: the correlation matrix of normalized matrix Z:
Step 5.3.6: characteristic value is sought: | R- λ IP|=0, solve P eigenvalue λ1≥λ1≥λ1……λP≥0;
Step 5.3.7: m value, method are determined are as follows:
To each λj, j=1,2 ... ... m, solving equations Rb=λjB, so that phasor
Step 5.3.8: z is found outj=(zi1,zi1,........ziP)TM principal component component, obtain decision matrix;
Step 5.3.9: weight model is established
In formula, F1, F2... ... FmThe m main compositions obtained after respectively analyzing, uijFor decision matrix coefficient;
Step 5.3.10: building composite evaluation function obtains the weight of each battery energy storage unit charge-discharge electric power:
κ=λ12……λm
Step 5.3.11: the weight coefficient of each battery energy storage unit energy storage power is obtained are as follows:
Step 5.3.12: each battery energy storage unit energy storage performance number P is determinedBi:
PBi=PBωi, (i=1,2 ... N),
Then, return step 1.
4. a kind of photovoltaic plant that reduces abandons the battery energy storage system control method that light is rationed the power supply, feature according to claim 1 It is, detailed process is as follows for the step 9:
Step 9.1: detecting the lotus state of charge SOC of each battery energy storage unitiIt is whether at equilibrium, it is to go to step 9.2, it is no Then go to step 9.3;
Step 9.2: the progress of battery energy storage system discharge power value is linear respectively, and it is issued to each energy storage sub-unit;Then turn Step 1;
Step 9.3: with the SOC of each battery energy storage uniti, voltage, electric current, charge cutoff SOCMax, electric discharge cut-off SOCMin, it is corresponding And the output power of photovoltaic cells is parameter in net unit, carries out principal component analysis, determines the electric discharge function of each battery energy storage unit Rate.
5. a kind of photovoltaic plant that reduces abandons the battery energy storage system control method that light is rationed the power supply, feature according to claim 4 It is, the step 9.3 specifically:
Step 9.3.1: with the SOC of each battery energy storage uniti, voltage, electric current, charge cutoff SOCMax, electric discharge cut-off SOCMin, it is right It answers and the output power of photovoltaic cells is parameter in net unit;
Step 9.3.2: building sample matrix
For N number of battery energy storage unit, B is usedijIndicate the grid-connected index of jth item of battery energy storage unit i, wherein i=1,2,3 ... N, j=1,2,3,4,5;
Step 9.3.3: converting sample matrix X, so that Y=[yij]n×p
Step 9.3.4: standardized transformation is done to Y and obtains normalized matrix:
Wherein, The mean value and standard deviation that jth arranges in respectively Y gusts;
Step 9.3.5: the correlation matrix of normalized matrix Z:
Step 9.3.6: characteristic value is sought: | R- λ IP|=0, solve P eigenvalue λ1≥λ1≥λ1……λP≥0;
Step 9.3.7: m value, method are determined are as follows:
To each λj, j=1,2 ... ... m, solving equations Rb=λjB, so that phasor
Step 9.3.8: z is found outj=(zi1,zi1,........ziP)TM principal component component, obtain decision matrix;
Step 9.3.9: weight model is established
In formula, F1, F2... ... FmThe m main compositions obtained after respectively analyzing, uijFor decision matrix coefficient;
Step 9.3.10: building composite evaluation function obtains the weight of each battery energy storage cell discharge power:
κ=λ12……λm
Step 9.3.11: the weight of each battery energy storage cell discharge power is obtained are as follows:
Step 9.3.12: each battery energy storage cell discharge performance number P is determinedOi:
PO_i=POωi, (i=1,2 ... N),
Then, return step 1.
CN201611003881.8A 2016-11-15 2016-11-15 A kind of battery energy storage system control method for reducing photovoltaic plant abandoning light and rationing the power supply Active CN106374517B (en)

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CN106712102B (en) * 2017-03-09 2020-04-07 四川科陆新能电气有限公司 Control system and method for reducing light abandoning and electricity limiting of photovoltaic power station
CN112952878A (en) * 2021-03-08 2021-06-11 阳光电源股份有限公司 Multi-direct-current coupling system and control method thereof
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Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102025155A (en) * 2010-12-30 2011-04-20 梁一桥 DC (direct current) distribution-based microgrid system
CN103606957A (en) * 2013-12-02 2014-02-26 天津工业大学 Design for multifunctional photovoltaic grid-connected control method
CN204424922U (en) * 2015-01-04 2015-06-24 张洪亮 A kind of novel wind-light storage hybrid from/generate electricity by way of merging two or more grid systems device
CN104767208A (en) * 2015-01-20 2015-07-08 国家电网公司 Intelligent load balance reactive power compensation device capable of being controlled remotely
EP2921336A1 (en) * 2012-11-16 2015-09-23 Panasonic Intellectual Property Management Co., Ltd. Vehicle-mounted power source device
CN105337306A (en) * 2015-10-23 2016-02-17 北京科诺伟业科技股份有限公司 Optical storage integrated power generation system

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102025155A (en) * 2010-12-30 2011-04-20 梁一桥 DC (direct current) distribution-based microgrid system
EP2921336A1 (en) * 2012-11-16 2015-09-23 Panasonic Intellectual Property Management Co., Ltd. Vehicle-mounted power source device
CN103606957A (en) * 2013-12-02 2014-02-26 天津工业大学 Design for multifunctional photovoltaic grid-connected control method
CN204424922U (en) * 2015-01-04 2015-06-24 张洪亮 A kind of novel wind-light storage hybrid from/generate electricity by way of merging two or more grid systems device
CN104767208A (en) * 2015-01-20 2015-07-08 国家电网公司 Intelligent load balance reactive power compensation device capable of being controlled remotely
CN105337306A (en) * 2015-10-23 2016-02-17 北京科诺伟业科技股份有限公司 Optical storage integrated power generation system

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