CN105449664A - Wind power consumptive capacity calculation method and system - Google Patents

Wind power consumptive capacity calculation method and system Download PDF

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Publication number
CN105449664A
CN105449664A CN201410441763.XA CN201410441763A CN105449664A CN 105449664 A CN105449664 A CN 105449664A CN 201410441763 A CN201410441763 A CN 201410441763A CN 105449664 A CN105449664 A CN 105449664A
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wind
power
capacity
data
electrical network
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CN105449664B (en
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徐彤
王新雷
马实一
周云
李付强
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State Grid Economic and Technological Research Institute
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Beijing Huajian Network Source Electric Power Design Institute
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    • Y—GENERAL 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
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00—Energy generation through renewable energy sources
    • Y02E10/70—Wind energy
    • Y02E10/76—Power conversion electric or electronic aspects

Abstract

The invention provides a wind power consumptive capacity calculation method and system. The method comprises the steps of acquiring power grid electrical load data, power grid conventional unit data, power grid and external power grid electric power exchange data, and power grid wind power output characteristic data of a power system in a preset time; calculating the boot capacity and reserve capacity of the power system through the acquired data; determining a boot mode of a unit by combining the maintenance of the unit based on the calculated boot capacity; calculating a peak modulation margin of the power system based on the boot mode; and calculating the power grid wind power consumptive capacity according to the peak modulation margin of the power system, without considering situations of wind curtailment and electricity limitation, and outputting the power grid wind power consumptive capacity without wind curtailment. The wind power consumptive capacity calculation method and system can calculate the consumptive capacity for different research needs, thereby providing support for research on wind power planning and consumptive wind power scheduling modes.

Description

A kind of wind electricity digestion capability computational methods and system
Technical field
The present invention relates to wind electricity digestion capability computational methods, particularly a kind of wind electricity digestion capability computational methods and system.
Background technology
In prior art, system is mainly concentrated on to survey region power grid wind electricity digestion capability and does not limit maximum permission installed capacity of wind-driven power in wind power output situation, carry out characterization system with this and to dissolve wind-powered electricity generation ability, and be calculated as single-point EQUILIBRIUM CALCULATION FOR PROCESS.This method gathers load power, unit data, the external electrical power in district in network system certain hour; consider the power-balance of network system and the startup-shutdown state of every platform unit and scope of exerting oneself under peak and low ebb two load levels; optimize unified for above-mentioned factor, obtain wind electricity digestion capability.Its shortcoming is only to analyze peak, the power balance situation in two moment of low ebb, obtains wind electricity digestion electric power, but cannot calculate the wind electricity digestion electricity in a period of time, does not propose wind electricity digestion capability from the angle of rationally abandoning wind.
Summary of the invention
The invention provides a kind of wind electricity digestion capability computational methods and system, its objective is the peak modulation capacity in order to Appropriate application thermoelectricity unit, level wind electricity digestion level when calculating day by day little.
In order to achieve the above object, The embodiment provides a kind of wind electricity digestion capability computational methods, comprising:
Gather the electrical network power load data of electric power system in a Preset Time, electrical network conventional power unit data, electrical network and external power grid exchange of electric power data, and power grid wind power producing characteristics data;
Start capacity and the reserve capacity of described electric power system is calculated by the data collected;
According to the start capacity calculated, in conjunction with unit maintenance situation, determine the start-up mode of unit;
According to described start-up mode, calculate the peak regulation nargin of described electric power system;
According to the peak regulation nargin of described electric power system, do not consider to abandon wind ration the power supply situation time, calculate electrical network and to dissolve wind-powered electricity generation electricity, and export the wind-powered electricity generation ability that the electrical network do not abandoned under landscape condition can dissolve.
Wherein, according to the peak regulation nargin of described electric power system, consider to abandon wind ration the power supply situation time, calculate electrical network and to dissolve wind-powered electricity generation electricity and abandon wind-powered electricity generation amount, and export the wind-powered electricity generation ability that the electrical network abandoned under landscape condition can dissolve.
Wherein, described conventional power unit data comprise machine set type, installed capacity, maximum technology are exerted oneself, minimum technology is exerted oneself.
Wherein, described computational methods are also for thermal power plant unit, and for thermal power plant unit, described conventional power unit data also comprise heating demand data in the described unit heat supply phase.
Wherein, described wind power output performance data comprises installed capacity of wind-driven power, history data, distributed areas wind-resources situation.
Wherein, described according to described start-up mode, the step calculating the peak regulation nargin of described electric power system also comprises: the situation that the peak modulation capacity for thermal power plant unit changes with heating demand fluctuation, calculates the peak modulation capacity that thermal power plant unit fluctuates with heat load.
Present invention also offers a kind of wind electricity digestion capability computing system, comprising:
Acquisition module, for gathering the electrical network power load data of electric power system in a Preset Time, electrical network conventional power unit data, electrical network and external power grid exchange of electric power data, and power grid wind power producing characteristics data;
First computing module, calculates start capacity and the reserve capacity of described electric power system for the data by collecting;
Control module, for according to the start capacity calculated, in conjunction with unit maintenance situation, determines the start-up mode of unit;
Second computing module, for according to described start-up mode, calculates the peak regulation nargin of described electric power system;
3rd computing module, for the peak regulation nargin according to described electric power system, do not consider to abandon wind ration the power supply situation time, calculate electrical network and to dissolve wind-powered electricity generation electricity, and export the wind-powered electricity generation ability that the electrical network do not abandoned under landscape condition can dissolve.
Wherein, described 3rd computing module also for the peak regulation nargin according to described electric power system, consider to abandon wind ration the power supply situation time, calculate electrical network and to dissolve wind-powered electricity generation electricity and abandon wind-powered electricity generation amount, and export the wind-powered electricity generation ability that the electrical network abandoned under landscape condition can dissolve.
Wherein, the situation of described second computing module also for changing with heating demand fluctuation for the peak modulation capacity of thermal power plant unit, calculates the peak modulation capacity that thermal power plant unit fluctuates with heat load.
The beneficial effect of such scheme of the present invention is as follows:
Method described in the above embodiment of the present invention, can the peak modulation capacity of Appropriate application thermoelectricity unit, level wind electricity digestion level when calculating day by day little, obtain dissolving wind-powered electricity generation electricity the whole year and reasonably abandoning wind ratio, result can carry out Rationality Assessment to planning installed capacity, propose the operation of power networks scheduling mode reasonably promoting wind electricity digestion, carry out digestion capability calculating for different Research Requirements, for wind-powered electricity generation project study, wind-powered electricity generation scheduling method of dissolving research provide support; System of the present invention, after carrying out software implementation exploitation, can realize linking with current dispatching patcher, system-computed analysis result can be used for instructing power system operating mode optimization, realizes promoting electrical network and to dissolve wind-powered electricity generation ability.
Accompanying drawing explanation
Fig. 1 is the flow chart of the method for the invention;
Fig. 2 is that the method for the invention is for the flow chart of area power grid;
Fig. 3 is that the method for the invention is for the flow chart of certain wind-powered electricity generation City Regions;
Fig. 4 is the structured flowchart of system of the present invention.
Embodiment
For making the technical problem to be solved in the present invention, technical scheme and advantage clearly, be described in detail below in conjunction with the accompanying drawings and the specific embodiments.
The present invention is directed to the problem of not considering to abandon landscape condition in existing wind electricity digestion capability computational methods, provide a kind of wind electricity digestion capability computational methods and system.
As shown in Figure 1, The embodiment provides a kind of wind electricity digestion capability computational methods, comprising:
Step 11, gathers the electrical network power load data of electric power system in a Preset Time, electrical network conventional power unit data, electrical network and external power grid exchange of electric power data, and power grid wind power producing characteristics data;
Step 12, calculates start capacity and the reserve capacity of described electric power system by the data collected;
Step 13, according to the start capacity calculated, in conjunction with unit maintenance situation, determines the start-up mode of unit;
Step 14, according to described start-up mode, calculates the peak regulation nargin of described electric power system;
Step 15, according to the peak regulation nargin of described electric power system, do not consider to abandon wind ration the power supply situation time, calculate electrical network and to dissolve wind-powered electricity generation electricity, and export the wind-powered electricity generation ability that the electrical network do not abandoned under landscape condition can dissolve.
Step 16, according to the peak regulation nargin of described electric power system, consider to abandon wind ration the power supply situation time, calculate electrical network and to dissolve wind-powered electricity generation electricity and abandon wind-powered electricity generation amount, and export the wind-powered electricity generation ability that the electrical network abandoned under landscape condition can dissolve.
Method and system described in the above embodiment of the present invention can the peak modulation capacity of Appropriate application thermoelectricity unit, level wind electricity digestion level when calculating day by day little, obtain dissolving wind-powered electricity generation electricity the whole year and reasonably abandoning wind ratio, result can carry out Rationality Assessment to planning installed capacity, the operation of power networks scheduling mode reasonably promoting wind electricity digestion is proposed, digestion capability calculating is carried out, for wind-powered electricity generation project study, wind-powered electricity generation scheduling method of dissolving research provide support for different Research Requirements.
As shown in Figure 2, the method described in the above embodiment of the present invention for the concrete grammar of area power grid is:
Step S101, collecting region electrical network power load data.Gathering load data is a hour DBMS, and the time cycle can be determined according to actual conditions.
Step S102, collecting region electrical network conventional power unit data, comprise machine set type, installed capacity, maximum technology are exerted oneself, minimum technology is exerted oneself, and for thermal power plant unit, also need to gather heating demand data in its heat supply phase.
Step S103, collecting region electrical network and district's external power grid exchange of electric power data.Gathering exchange of electric power data is a hour DBMS, and the time cycle can be determined according to actual conditions.Image data can be on the occasion of, negative value and zero.
Step S104, collecting region power grid wind power producing characteristics data, comprise installed capacity of wind-driven power, history data, distributed areas wind-resources situation.
Step S201, start capacity and reserve capacity needed for analytical system.This step is realized by following formula:
Formula 1:P load.adj=P load.orig-P wind-P trans
Formula 2:P re=P re.load+ P re.wind=k × P load.adjmax+ l × P re.windlmax
Formula 3:P sys=P load.adjmax+ P re
Wherein, in formula 1, P load.adjfor netting interior net load power curve, P load.origfor netting interior original power load power curve, P windfor wind power output curve, P transfor with district's external power grid interconnection Change Power.
In formula 2, P refor the spinning reserve capacity of electric power system, P re.loadfor load and accident spinning reserve capacity, P re.windfor the spinning reserve capacity causing system to increase due to wind-powered electricity generation unsteadiness, P load.adj.maxfor day net load curve maximum, P re.windlmaxfor the wind power output value that the net load curve maximum moment is corresponding, k, l are spinning reserve coefficient.
In formula 3, P systo start shooting needed for electric power system capacity.
Step S301, in conjunction with unit maintenance situation, arranges unit start-up mode.This step is realized by following formula:
Formula 4: P Load . adj max + P re ≤ Σ i = 1 n P i max P Load . adj max + P re ≥ Σ i = 1 n P i max - P i max
In formula 4, P imaxfor open i-th unit maximum technology exert oneself.
Step S401, exerts oneself based on start-up mode and unit minimum technology, analytical calculation peak shaving nargin.This step is realized by following formula:
Formula 5: T - P Load . adj min - Σ i = 1 n P i min
In formula 5, T is peak shaving nargin, P load.adj.minfor day net load curve minimum, P iminfor open i-th unit minimum technology exert oneself.
Step S501, does not consider to abandon wind and to ration the power supply situation, according to level power balance time little day by day, calculates electrical network and to dissolve wind-powered electricity generation electric power and electricity.
When peak regulation nargin T >=0, illustrate that section does not exist at this moment and abandon wind or shut down peak regulation needs, wind-powered electricity generation all can be dissolved, and the wind power output of input is electric power of can dissolving;
As peak regulation nargin T < 0, section wind electricity digestion difficulty is at this moment described, and considers not abandon landscape condition, need regulating wind power installed capacity, setting wind-powered electricity generation planning increment △ M, revises wind-powered electricity generation planning installed capacity M 0=M 0-△ M, carries out iterative computation, until peak regulation nargin is greater than 0, obtains reasonable wind-powered electricity generation planning installed capacity.
Step S502, peak regulation nargin T < 0, and consider that abandoning wind rations the power supply situation, carry out in the period by hour power balance analysis, obtain by hour peak regulation nargin breach situation, wind ratio is abandoned in setting, according to by a hour level power balance, calculates electrical network and to dissolve wind-powered electricity generation electricity and abandon wind-powered electricity generation amount.
Step S601, the wind-powered electricity generation ability that the electrical network under landscape condition can be dissolved is not abandoned in output.
Step S602, the wind-powered electricity generation ability that the electrical network under landscape condition can be dissolved is abandoned in output, comprises annual wind electricity digestion electricity, abandons wind ratio.
Wherein, described conventional power unit data comprise machine set type, installed capacity, maximum technology are exerted oneself, minimum technology is exerted oneself.
Wherein, described computational methods are also for thermal power plant unit, and for thermal power plant unit, described conventional power unit data also comprise heating demand data in the described unit heat supply phase.
Wherein, described wind power output performance data comprises installed capacity of wind-driven power, history data, distributed areas wind-resources situation.
Wherein, described according to described start-up mode, the step calculating the peak regulation nargin of described electric power system also comprises: the situation that the peak modulation capacity for thermal power plant unit changes with heating demand fluctuation, calculates the peak modulation capacity that thermal power plant unit fluctuates with heat load.
Wherein, the situation that the peak modulation capacity for thermal power plant unit changes with heating demand fluctuation, calculates the peak modulation capacity that thermal power plant unit fluctuates with heat load.This step is realized by following formula:
Formula 6:P min≤ P i≤ P max
Formula 7:P max=(D 0max-β D ci-φ)/α
Formula 8:P min=(D 0min-β D ci-φ)/α
In formula 6, P ifor thermal power plant unit is exerted oneself, P maxfor the maximum technology of thermal power plant unit is exerted oneself, P minfor thermal power plant unit minimum technology is exerted oneself.
In formula 7-8, α, β, φ are constant term coefficient, D cifor the heat supply amount of drawing gas of thermal power plant unit, D 0max, D 0minfor thermal power plant unit is at D cilower maximum main steam flow, minimum main steam flow.
As shown in Figure 3, for certain wind-powered electricity generation City Regions, utilize the wind electricity digestion capability that computational methods of the present invention calculate, concrete steps are: by wind power output characteristic and wind-powered electricity generation planned capacity M 0obtain wind power output curve, net load curve is obtained by exchange of electric power curve calculation outside described wind power output curve, power load curve and district, the reserve capacity needed for electric power system is obtained according to described net load curve calculation, in conjunction with unit maintenance situation, arrangement unit is started shooting, calculate unit minimum technology to exert oneself, and the peak regulation nargin T of described electric power system.When T >=0, calculate and do not abandon wind electricity digestion electric power under landscape condition; As T<0, judge whether that abandoning wind rations the power supply, and rations the power supply if abandon wind, then wind-powered electricity generation installation is constant, carries out abandoning wind and rations the power supply, and meets peak regulation balance, and then calculates the wind-powered electricity generation electricity and abandon wind ratio of dissolving the whole year; If do not abandon wind to ration the power supply, calculate wind-powered electricity generation planning installation increment △ M, M0=M0-△ M.
As shown in Figure 4, present invention also offers a kind of wind electricity digestion capability computing system, comprising:
Acquisition module, for gathering the electrical network power load data of electric power system in a Preset Time, electrical network conventional power unit data, electrical network and external power grid exchange of electric power data, and power grid wind power producing characteristics data;
First computing module, calculates start capacity and the reserve capacity of described electric power system for the data by collecting;
Control module, for according to the start capacity calculated, in conjunction with unit maintenance situation, determines the start-up mode of unit;
Second computing module, for according to described start-up mode, calculates the peak regulation nargin of described electric power system;
3rd computing module, for the peak regulation nargin according to described electric power system, do not consider to abandon wind ration the power supply situation time, calculate electrical network and to dissolve wind-powered electricity generation electricity, and export the wind-powered electricity generation ability that the electrical network do not abandoned under landscape condition can dissolve.
Wherein, described 3rd computing module also for the peak regulation nargin according to described electric power system, consider to abandon wind ration the power supply situation time, calculate electrical network and to dissolve wind-powered electricity generation electricity and abandon wind-powered electricity generation amount, and export the wind-powered electricity generation ability that the electrical network abandoned under landscape condition can dissolve.
Wherein, the situation of described second computing module also for changing with heating demand fluctuation for the peak modulation capacity of thermal power plant unit, calculates the peak modulation capacity that thermal power plant unit fluctuates with heat load.
Method described in the above embodiment of the present invention, can the peak modulation capacity of Appropriate application conventional power unit (especially thermoelectricity unit), level wind electricity digestion level when calculating day by day little, obtain dissolving wind-powered electricity generation electricity the whole year and reasonably abandoning wind ratio, result can carry out Rationality Assessment to planning installed capacity, the operation of power networks scheduling mode reasonably promoting wind electricity digestion is proposed, digestion capability calculating is carried out, for wind-powered electricity generation project study, wind-powered electricity generation scheduling method of dissolving research provide support for different Research Requirements; System of the present invention, after carrying out software implementation exploitation, can realize linking with current dispatching patcher, system-computed analysis result can be used for instructing power system operating mode optimization, realizes promoting electrical network and to dissolve wind-powered electricity generation ability.
The above is the preferred embodiment of the present invention; it should be pointed out that for those skilled in the art, under the prerequisite not departing from principle of the present invention; can also make some improvements and modifications, these improvements and modifications also should be considered as protection scope of the present invention.

Claims (9)

1. wind electricity digestion capability computational methods, is characterized in that, comprising:
Gather the electrical network power load data of electric power system in a Preset Time, electrical network conventional power unit data, electrical network and external power grid exchange of electric power data, and power grid wind power producing characteristics data;
Start capacity and the reserve capacity of described electric power system is calculated by the data collected;
According to the start capacity calculated, in conjunction with unit maintenance situation, determine the start-up mode of unit;
According to described start-up mode, calculate the peak regulation nargin of described electric power system;
According to the peak regulation nargin of described electric power system, do not consider to abandon wind ration the power supply situation time, calculate electrical network and to dissolve wind-powered electricity generation electricity, and export the wind-powered electricity generation ability that the electrical network do not abandoned under landscape condition can dissolve.
2. wind electricity digestion capability computational methods according to claim 1, it is characterized in that, according to the peak regulation nargin of described electric power system, consider abandon wind ration the power supply situation time, calculate electrical network to dissolve wind-powered electricity generation electricity and abandon wind-powered electricity generation amount, and export the wind-powered electricity generation ability that the electrical network abandoned under landscape condition can dissolve.
3. wind electricity digestion capability computational methods according to claim 1, is characterized in that, described conventional power unit data comprise machine set type, installed capacity, maximum technology are exerted oneself, minimum technology is exerted oneself.
4. wind electricity digestion capability computational methods according to claim 3, is characterized in that, described computational methods are also for thermal power plant unit, and for thermal power plant unit, described conventional power unit data also comprise heating demand data in the described unit heat supply phase.
5. wind electricity digestion capability computational methods according to claim 1, is characterized in that, described wind power output performance data comprises installed capacity of wind-driven power, history data, distributed areas wind-resources situation.
6. wind electricity digestion capability computational methods according to claim 4, it is characterized in that, described according to described start-up mode, the step calculating the peak regulation nargin of described electric power system also comprises: the situation that the peak modulation capacity for thermal power plant unit changes with heating demand fluctuation, calculates the peak modulation capacity that thermal power plant unit fluctuates with heat load.
7. a wind electricity digestion capability computing system, is characterized in that, comprising:
Acquisition module, for gathering the electrical network power load data of electric power system in a Preset Time, electrical network conventional power unit data, electrical network and external power grid exchange of electric power data, and power grid wind power producing characteristics data;
First computing module, calculates start capacity and the reserve capacity of described electric power system for the data by collecting;
Control module, for according to the start capacity calculated, in conjunction with unit maintenance situation, determines the start-up mode of unit;
Second computing module, for according to described start-up mode, calculates the peak regulation nargin of described electric power system;
3rd computing module, for the peak regulation nargin according to described electric power system, do not consider to abandon wind ration the power supply situation time, calculate electrical network and to dissolve wind-powered electricity generation electricity, and export the wind-powered electricity generation ability that the electrical network do not abandoned under landscape condition can dissolve.
8. wind electricity digestion capability computing system according to claim 7, it is characterized in that, described 3rd computing module is also for the peak regulation nargin according to described electric power system, consider abandon wind ration the power supply situation time, calculate electrical network to dissolve wind-powered electricity generation electricity and abandon wind-powered electricity generation amount, and export the wind-powered electricity generation ability that the electrical network abandoned under landscape condition can dissolve.
9. wind electricity digestion capability computing system according to claim 7, it is characterized in that, the situation of described second computing module also for changing with heating demand fluctuation for the peak modulation capacity of thermal power plant unit, calculates the peak modulation capacity that thermal power plant unit fluctuates with heat load.
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CN106356897A (en) * 2016-10-28 2017-01-25 国家电网公司 Dynamic evaluation method for wind power admitting ability
CN106447238A (en) * 2016-10-24 2017-02-22 华北电力科学研究院有限责任公司 Assessment method for adapting in-depth peak load regulation needs of wind power integration
CN106655180A (en) * 2017-03-03 2017-05-10 国家电网公司 Peak shaving running forecast method considering ultrahigh direct current access for power grid
CN107482656A (en) * 2017-08-11 2017-12-15 电力规划总院有限公司 Power planning method, apparatus, equipment and the computer-readable recording medium of micro-capacitance sensor
CN107491870A (en) * 2017-08-14 2017-12-19 电力规划总院有限公司 Power planning method, apparatus, equipment and the computer-readable recording medium of power distribution network
CN109989882A (en) * 2017-12-29 2019-07-09 北京天诚同创电气有限公司 The standby controlling method and device of wind power generating set
CN110401220A (en) * 2019-07-26 2019-11-01 北京华建网源电力设计研究院有限公司 A kind of extensive new energy consumption level evaluation method and system
CN111244993A (en) * 2020-01-21 2020-06-05 国网湖南省电力有限公司 Capacity optimization configuration method for energy storage participating in power grid peak shaving application

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CN105914785B (en) * 2016-05-12 2022-04-29 中国电力科学研究院 Method for improving wind power absorption capacity
CN105914785A (en) * 2016-05-12 2016-08-31 中国电力科学研究院 Method of improving wind power consumption capability
CN106447238A (en) * 2016-10-24 2017-02-22 华北电力科学研究院有限责任公司 Assessment method for adapting in-depth peak load regulation needs of wind power integration
CN106356897A (en) * 2016-10-28 2017-01-25 国家电网公司 Dynamic evaluation method for wind power admitting ability
CN106655180A (en) * 2017-03-03 2017-05-10 国家电网公司 Peak shaving running forecast method considering ultrahigh direct current access for power grid
CN107482656B (en) * 2017-08-11 2019-12-27 电力规划总院有限公司 Power planning method, device and equipment for microgrid and computer readable storage medium
CN107482656A (en) * 2017-08-11 2017-12-15 电力规划总院有限公司 Power planning method, apparatus, equipment and the computer-readable recording medium of micro-capacitance sensor
CN107491870B (en) * 2017-08-14 2020-02-11 电力规划总院有限公司 Power planning method, device and equipment for power distribution network and computer readable storage medium
CN107491870A (en) * 2017-08-14 2017-12-19 电力规划总院有限公司 Power planning method, apparatus, equipment and the computer-readable recording medium of power distribution network
CN109989882A (en) * 2017-12-29 2019-07-09 北京天诚同创电气有限公司 The standby controlling method and device of wind power generating set
CN109989882B (en) * 2017-12-29 2020-04-10 北京天诚同创电气有限公司 Standby control method and device of wind generating set
CN110401220A (en) * 2019-07-26 2019-11-01 北京华建网源电力设计研究院有限公司 A kind of extensive new energy consumption level evaluation method and system
CN111244993A (en) * 2020-01-21 2020-06-05 国网湖南省电力有限公司 Capacity optimization configuration method for energy storage participating in power grid peak shaving application
CN111244993B (en) * 2020-01-21 2021-11-30 国网湖南省电力有限公司 Capacity optimization configuration method for energy storage participating in power grid peak shaving application

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