CN104820948A - Comprehensive assessment method of economic benefit of power distribution network energy storage power station - Google Patents

Comprehensive assessment method of economic benefit of power distribution network energy storage power station Download PDF

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CN104820948A
CN104820948A CN201510141641.3A CN201510141641A CN104820948A CN 104820948 A CN104820948 A CN 104820948A CN 201510141641 A CN201510141641 A CN 201510141641A CN 104820948 A CN104820948 A CN 104820948A
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energy
max
power station
benefit
accumulating power
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邢洁
袁智强
王承民
刘勇
朴红艳
方陈
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SHANGHAI PROINVENT INFORMATION TECH Ltd
State Grid Shanghai Electric Power Co Ltd
Shanghai Electric Power Design Institute Co Ltd
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SHANGHAI PROINVENT INFORMATION TECH Ltd
State Grid Shanghai Electric Power Co Ltd
Shanghai Electric Power Design Institute Co Ltd
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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
    • Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
    • Y02E40/70—Smart grids as climate change mitigation technology in the energy generation sector
    • 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
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00—Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

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Abstract

The invention discloses a comprehensive assessment method of the economic benefit of a power distribution network energy storage power station. The comprehensive assessment method comprises the following steps: 1.1) establishing a comprehensive benefit assessment mathematical mode of a comprehensive assessment system of the economic benefit of the power distribution network energy storage power station; and 1.2) according to the established model and each defined calculation functional expression, evaluating the comprehensive benefit of the energy storage power station on a system. Influence on the comprehensive benefit of the system by the installation position and the configuration volume of the energy storage power station can be researched.

Description

Power distribution network energy-accumulating power station economic benefit comprehensive estimation method
Technical field
The present invention relates to power distribution network energy-accumulating power station technical field, particularly a kind of energy-accumulating power station comprehensive estimation method considering different subjects economic benefits indicator.
Background technology
Along with the development of intelligent grid, a large amount of distributed power sources accesses intelligent distribution system, and the contradiction of urban area electrical energy demands and newly-increased transmission channel is increasing, and the importance of energy storage technology improves day by day.Energy storage technology has been regarded as the important component part in operation of power networks process.Electric system is after introducing energy storage link, effectively can realize dsm, eliminate peak-valley difference round the clock, balanced load, not only power equipment can be effectively utilized, reduce power supply cost, the utilization of regenerative resource can also be promoted, also can as a kind of means improving system run all right, load fluctuation of adjusting frequency, compensate.The application of energy storage technology will play a significant role in intelligent distribution system, brings major transformation.
Socioeconomic development makes network load peak-valley difference day by day increase, and this has had a strong impact on the economy of electric system, and the solution of this problem depends on the application of energy storage technology.
And to determine that whether the installation of energy-accumulating power station is reasonable, with regard to being necessary, synthetic study is carried out to the economic benefit of energy-accumulating power station.Tradition is in the Economic and Efficiency Analysis of energy-accumulating power station, just merely analyze the access of energy-accumulating power station to the impact of electrical network aspect benefit, do not set up the economic evaluation model that energy-accumulating power station is complete, do not study the change of energy-accumulating power station installation site and configuration capacity to the impact of system synthesis benefit.So be necessary to study a kind of method of carrying out comprehensive assessment for power distribution network energy-accumulating power station economic benefit.
Summary of the invention
Because the above-mentioned defect of prior art, the invention provides a kind of power distribution network energy-accumulating power station economic benefit comprehensive estimation method that can overcome above-mentioned technological deficiency, its feature is, comprises the following steps:
1.1 set up power distribution network energy-accumulating power station intelligence distribution system Comprehensive Benefit Evaluation mathematical model:
E S = Σ i = 1 5 E i - Σ i = 1 2 C i = E 1 + E 2 + E 3 + E 4 + E 5 - C 1 - C 2
In formula, E 1~ E 5for Benefit Model, C 1, C 2for cost model;
Wherein, described E 1benefit Model computing function formula be:
E 1＝λ dC dηP max
In formula, E 1reduce the income equivalence of electrical network enlarging capacity aspect to annual present worth; Variable P max(MW) be accumulator system rated power; C dfor the unit price (ten thousand yuan/MW) of power distribution network; λ dfor the fixed assets depreciation rate (%) of controller switching equipment; η is the energy storage efficiency (%) of energy storage device;
Described E 2benefit Model computing function formula be:
E 2＝W h0+W l1＝365(ξ h0-ξ hi)Nt he h+365(ξ l0-ξ li)Nt le l
In formula: E 2for in the whole life cycle of energy-accumulating power station, system, reducing the income in grid net loss expense, comprises lotus peak phase grid net loss saving expense E 2benefit Model computing function formula be: use W h0, lotus valley period power net network loss reduces expenses W l1; Variable N is the life-span (year) of energy-accumulating power station, W h0for lotus peak phase grid net loss is reduced expenses; W l1for lotus valley period power net network loss is reduced expenses; ξ h0, ξ hibe respectively the network loss of installing before and after energy-accumulating power station during lotus peak, ξ l0, ξ libe respectively the network loss of installing before and after energy-accumulating power station during lotus paddy; t h, t lbe respectively He Feng, lotus paddy time (h); e h, e lbe respectively peak-and-valley prices (ten thousand yuan/MWh);
Described E 3benefit Model computing function formula be:
E 3＝nP max(e h-e l)T
In formula: E 3for storing up the year value of the dominant economic return of arbitrage occurred frequently, variable P max(MW) be accumulator system rated power; N is the number of times that puts into operation in energy storage device year; e h, e lbe respectively peak-and-valley prices (ten thousand yuan/MWh); T is that energy storage device is with power P maxthe duration (h) of charging;
Described E 4benefit Model computing function formula be:
E 4＝0.5P maxTe s
In formula, E 4for new-energy grid-connected margin capacity income; Variable P max(MW) be accumulator system rated power; T is that energy storage device is with power P maxthe duration (h) of charging; e sfor the price (ten thousand yuan/MWa) of margin capacity;
Described E 5benefit Model computing function formula be:
E 5＝0.5P maxT(1-A s)R IEA
In formula, E 5for reducing outage cod income; Variable P max(MW) be accumulator system rated power; T is that energy storage device is with power P maxthe duration (h) of charging; A sfor distribution substation is powered fiduciary level, R iEAfor Custom interruption cost Assessment Rate (ten thousand yuan/MWh);
Described C 1benefit Model computing function formula be:
C 1＝C AW max+C pP max
In formula, C 1for cost of investment, comprise planning and design cost, costs of materials purchase and engineering construction cost; Variable P max(MW) be accumulator system rated power; W max(MWh) be the maximum power of accumulator storage; C athe expense (ten thousand yuan/MWh) of unit energy storage; C pfor electrical power transmission system and energy converter system specific power expenditure of construction (ten thousand yuan/MW);
Described C 2benefit Model computing function formula be:
C 2＝(C y+C w)P max
In formula, C 2be respectively cost of investment and operation expense; Variable P max(MW) be accumulator system rated power; C y, C wbe respectively unit operating cost and the organizational maintenance expense (ten thousand yuan/MW) of energy storage system;
1.2 according to the model of above-mentioned foundation and each computing function formula, and assessment energy-accumulating power station is to system synthesis benefit, and step is as follows:
1.2.1: for certain n node, the distribution network of m bar circuit, input network parameter (line parameter circuit value, node power etc.); If i is the node installing energy-accumulating power station, wherein, i=1,2 ..., n; P jmaxmaximum rated output power for energy-accumulating power station: P jmax={ P 1max, P 2max..., P lmax, | j=1,2 ..., l (l is the number of samples of the energy-accumulating power station of different capabilities to be studied) }; E si, jfor nodes i installs P jmaxduring energy-accumulating power station overall efficiency indicator, initial value is 0; Make i=0, j=0;
1.2.2:i=i+1, j=j+1, turns next step;
1.2.3: the parameter according to energy-accumulating power station: the output rating P of energy-accumulating power station accumulator jmaxwith the specified storage of electrical energy W stored jmax, life of storage battery N, utilizes described Comprehensive Benefit Evaluation mathematical model, and computing node i access capacity is P jmaxenergy-accumulating power station after the economic benefits indicator E of electrical network si, j;
1.2.4: judge whether j≤l, if so, make j=j+1, go to step 1.2.3; If not, next step is entered;
1.2.5: compare after node i access energy-accumulating power station, corresponding different energy-accumulating power station output rating P jmax(j=1,2 ..., economic benefits indicator E time l) si, j, obtain maximum economic benefit index E si, max;
1.2.6: judge whether i≤n, if so, go to step 1.2.2; If not, next step is entered;
1.2.7: calculate and terminate and Output rusults.
Beneficial effect of the present invention: adopt the present invention, the change of energy synthetic study energy-accumulating power station installation site and configuration capacity, on the impact of system synthesis benefit, obtains the allocation optimum strategy of accumulator system.Particularly, the distribution network numerous to a certain node, can be utilized this method to calculate network trap index corresponding when energy-accumulating power station is arranged on different node, can be instructed the installation reconnaissance of energy-accumulating power station by comparing cell performance indicator; When behind the infield determining energy-accumulating power station, the method can be utilized to calculate energy-accumulating power station configuration capacity at [S min, S max] in scope during change, obtain the energy-accumulating power station installed capacity of optimum network benefit.
Be described further below with reference to the technique effect of accompanying drawing to design of the present invention, concrete structure and generation, to understand object of the present invention, characteristic sum effect fully.
Accompanying drawing explanation
Fig. 1 is the process flow diagram of comprehensive benefit assessment method of the present invention.
Fig. 2 is the power distribution network synthesis benefit comparison figure after the typical node assessed of the present invention installs energy-accumulating power station (0.3MW).
The energy-accumulating power station configuration capacity that Fig. 3 assesses for the present invention changes the comprehensive benefit comparison diagram brought.
Embodiment
Enumerate preferred embodiment below, and come by reference to the accompanying drawings clearlyer intactly the present invention to be described.
Embodiment 1
The object of the invention is to be achieved through the following technical solutions: after a certain node installation energy-accumulating power station, first, the comprehensive benefit assessment model setting up system is configured to:
E S = Σ i = 1 5 E i - Σ i = 1 2 C i = E 1 + E 2 + E 3 + E 4 + E 5 - C 1 - C 2 - - - ( 1 )
Wherein, E 1~ E 5for Benefit Model, C 1, C 2for cost model.
Then, define above-mentioned each cost, Benefit Model computing function formula as follows:
● E 1that the income equivalence reducing electrical network enlarging capacity aspect arrives annual present worth
E 1＝λ dC dηP max(2)
Wherein, variable P max(MW) be accumulator system rated power; C dfor the unit price (ten thousand yuan/MW) of power distribution network; λ dfor the fixed assets depreciation rate (%) of controller switching equipment; η is the energy storage efficiency (%) of energy storage device.
● E 2for in the whole life cycle of energy-accumulating power station, system is reducing the income in grid net loss expense, comprises lotus peak phase grid net loss and to reduce expenses W h0, lotus valley period power net network loss reduces expenses W l1
E 2=W h0+ W l1=365 (ξ h0-ξ hi) Nt he h+ 365 (ξ l0-ξ li) Nt le l(3) wherein, variable N is the life-span (year) of energy-accumulating power station, W h0for lotus peak phase grid net loss is reduced expenses; W l1for lotus valley period power net network loss is reduced expenses; ξ h0, ξ hibe respectively the network loss of installing before and after energy-accumulating power station during lotus peak, ξ l0, ξ libe respectively the network loss of installing before and after energy-accumulating power station during lotus paddy; t h, t lbe respectively He Feng, lotus paddy time (h); e h, e lbe respectively peak-and-valley prices (ten thousand yuan/MWh).
● E 3for storing up the year value of the dominant economic return of arbitrage occurred frequently
E 3＝nP max(e h-e l)T (4)
Wherein, variable P max(MW) be accumulator system rated power; N is the number of times that puts into operation in energy storage device year; e h, e lbe respectively peak-and-valley prices (ten thousand yuan/MWh); T is that energy storage device is with power P maxthe duration (h) of charging.
● E 4for new-energy grid-connected margin capacity income
E 4＝0.5P maxTe s(5)
Wherein, variable P max(MW) be accumulator system rated power; T is that energy storage device is with power P maxthe duration (h) of charging; e sfor the price (ten thousand yuan/MWa) of margin capacity.
● E 5for reducing outage cod income
E 5＝0.5P maxT(1-A s)R IEA(6)
Wherein, variable P max(MW) be accumulator system rated power; T is that energy storage device is with power P maxthe duration (h) of charging; A sfor distribution substation is powered fiduciary level, R iEAfor Custom interruption cost Assessment Rate (ten thousand yuan/MWh).
● C 1for cost of investment, comprise planning and design cost, costs of materials purchase and engineering construction cost
C 1＝C AW max+C pP max(7)
Wherein, variable P max(MW) be accumulator system rated power; W max(MWh) be the maximum power of accumulator storage; C athe expense (ten thousand yuan/MWh) of unit energy storage; C pfor electrical power transmission system and energy converter system specific power expenditure of construction (ten thousand yuan/MW).
● C 2be respectively cost of investment and operation expense
C 2＝(C y+C w)P max(8)
Wherein, variable P max(MW) be accumulator system rated power; C y, C wbe respectively unit operating cost and the organizational maintenance expense (ten thousand yuan/MW) of energy storage system.
According to the model of above-mentioned foundation and each computing function formula of definition, calculate the appraisal procedure of energy-accumulating power station to system synthesis benefit as follows:
Step 1: for certain n node, the distribution network of m bar circuit, input network parameter (line parameter circuit value, node power etc.).If i (i=1,2 ..., n) for installing the node of energy-accumulating power station, P jmaxmaximum rated output power for energy-accumulating power station: P jmax={ P 1max, P 2max..., P lmax, | j=1,2 ..., l (l is the number of samples of the energy-accumulating power station of different capabilities to be studied) }, E si, jfor nodes i installs P jmaxduring energy-accumulating power station overall efficiency indicator, initial value is 0.Make i=0, j=0.
Step 2:i=i+1, j=j+1, turn next step;
Step 3: according to parameter (the output rating P of energy-accumulating power station accumulator of energy-accumulating power station jmaxwith the specified storage of electrical energy W stored jmax, life of storage battery N), utilize the economic technology computing function (1) of above-mentioned energy-accumulating power station (namely E S = Σ i = 1 5 E i - Σ i = 1 2 C i = E 1 + E 2 + E 3 + E 4 + E 5 - C 1 - C 2 ) computing node i access capacity is P jmaxenergy-accumulating power station after the economic benefits indicator E of electrical network si, j, enter next step;
Step 4: judge whether j≤l, if so, makes j=j+1, goes to step 3; If not, next step is entered;
Step 5: compare after node i access energy-accumulating power station, corresponding different energy-accumulating power station output rating P jmax(j=1,2 ..., economic benefits indicator E time l) si, j, obtain maximum economic benefit index E si, max, enter next step;
Step 6: judge whether i≤n, if so, goes to step 2; If not, next step is entered;
Step 7: calculate and terminate and Output rusults.
Adopt the present invention, the change of energy synthetic study energy-accumulating power station installation site and configuration capacity is on the impact of system synthesis benefit.Particularly, the distribution network numerous to a certain node, can be utilized this method to calculate network trap index corresponding when energy-accumulating power station is arranged on different node, can be instructed the installation reconnaissance of energy-accumulating power station by comparing cell performance indicator; When behind the infield determining energy-accumulating power station, the method can be utilized to calculate energy-accumulating power station configuration capacity at [S min, S max] in scope during change, obtain the energy-accumulating power station installed capacity of optimum network benefit.
Embodiment 2
The present embodiment is for certain region distribution line, illustrates that the energy-accumulating power station reflected by computing method of the present invention is on the impact of network synthesis performance evaluation.
A 10kV distribution line in certain region, this circuit has 62 distribution transformings, and the longest radius of electricity supply reaches 4 kilometers; 10kV circuit adopts cable to mix wiring with built on stilts, and its median generatrix leading-out terminal is main mainly with cable; The sectional area of 10kV pole line backbone is aluminium core 240mm 2, 185mm 2, 150mm 2; The sectional area of 10kV cable line backbone is 400mm 2, 240mm 2.In example system, by simulation calculation, energy-accumulating power station can be obtained when being installed on different node, the overall efficiency indicator of distribution network systems.
Figure 2 shows that the power distribution network synthesis benefit comparison sectional drawing after typical node installation energy-accumulating power station (0.3MW), node 2 and 5 is positioned at mains side, and node 12 and 14 is in the centre position of distribution line, and node 23 and 25 belongs to load area.Fig. 2 can reflect the impact of the change of energy-accumulating power station installation site on network synthesis benefit.
By simulation calculation, the difference of same node energy-accumulating power station configuration capacity also can be obtained on the impact of system synthesis benefit.For node 23, configuration capacity is the energy-accumulating power station of 0.1MW, 0.3MW, 0.5MW, 0.7MW, 1MW, 1.5MW, and Fig. 3 is that the change of energy-accumulating power station configuration capacity affects sectional drawing to its comprehensive benefit.
More than describe each preferred embodiment of the present invention in detail.Should be appreciated that those of ordinary skill in the art just design according to the present invention can make many modifications and variations without the need to creative work.Therefore, all technician in the art, all should by the determined protection domain of claims under this invention's idea on the basis of existing technology by the available technical scheme of logical analysis, reasoning, or a limited experiment.

Claims (1)

1. an economic benefit comprehensive estimation method for power distribution network energy-accumulating power station, is characterized in that, comprise the following steps:
1.1 set up power distribution network energy-accumulating power station intelligence distribution system Comprehensive Benefit Evaluation mathematical model:
E S = Σ i = 1 5 E i - Σ i = 1 2 C i = E 1 + E 2 + E 3 + E 4 + E 5 - C 1 - C 2
In formula, E 1~ E 5for Benefit Model, C 1, C 2for cost model;
Wherein, described E 1benefit Model computing function formula be:
E 1＝λ dC dηP max
In formula, E 1reduce the income equivalence of electrical network enlarging capacity aspect to annual present worth; Variable P maxfor accumulator system rated power; C dfor the unit price of power distribution network; λ dfor the fixed assets depreciation rate of controller switching equipment; η is the energy storage efficiency of energy storage device;
Described E 2benefit Model computing function formula be:
E 2＝W h0+W l1＝365(ξ h0-ξ hi)Nt he h+365(ξ l0-ξ li)Nt le l
In formula: E 2for in the whole life cycle of energy-accumulating power station, system, reducing the income in grid net loss expense, comprises lotus peak phase grid net loss saving expense E 2benefit Model computing function formula be: use W h0, lotus valley period power net network loss reduces expenses W l1; Variable N is the life-span of energy-accumulating power station, W h0for lotus peak phase grid net loss is reduced expenses; W l1for lotus valley period power net network loss is reduced expenses; ξ h0, ξ hibe respectively the network loss of installing before and after energy-accumulating power station during lotus peak, ξ l0, ξ libe respectively the network loss of installing before and after energy-accumulating power station during lotus paddy; t h, t lbe respectively He Feng, lotus paddy time; e h, e lbe respectively peak-and-valley prices;
Described E 3benefit Model computing function formula be:
E 3＝nP max(e h-e l)T
In formula: E 3for storing up the year value of the dominant economic return of arbitrage occurred frequently, variable P maxfor accumulator system rated power; N is the number of times that puts into operation in energy storage device year; e h, e lbe respectively peak-and-valley prices; T is that energy storage device is with power P maxthe duration of charging;
Described E 4benefit Model computing function formula be:
E 4＝0.5P maxTe s
In formula, E 4for new-energy grid-connected margin capacity income; Variable P maxfor accumulator system rated power; T is that energy storage device is with power P maxthe duration of charging; e sfor the price of margin capacity;
Described E 5benefit Model computing function formula be:
E 5＝0.5P maxT(1-A s)R IEA
In formula, E 5for reducing outage cod income; Variable P maxfor accumulator system rated power; T is that energy storage device is with power P maxthe duration of charging; A sfor distribution substation is powered fiduciary level, R iEAfor Custom interruption cost Assessment Rate;
Described C 1benefit Model computing function formula be:
C 1＝C AW max+C pP max
In formula, C 1for cost of investment, comprise planning and design cost, costs of materials purchase and engineering construction cost; Variable P maxfor accumulator system rated power; W maxfor the maximum power that accumulator stores; C athe expense of unit energy storage; C pfor electrical power transmission system and energy converter system specific power expenditure of construction;
Described C 2benefit Model computing function formula be:
C 2＝(C y+C w)P max
In formula, C 2be respectively cost of investment and operation expense; Variable P maxfor accumulator system rated power; C y, C wbe respectively unit operating cost and the organizational maintenance expense of energy storage system;
1.2 according to the model of above-mentioned foundation and each computing function formula, and assessment energy-accumulating power station is to system synthesis benefit, and step is as follows:
1.2.1: for certain n node, the distribution network of m bar circuit, input network parameter; If i is the node installing energy-accumulating power station, wherein, i=1,2 ..., n; P jmaxmaximum rated output power for energy-accumulating power station: P jmax={ P 1max, P 2max..., P lmax, | j=1,2 ..., l}, wherein, l is the number of samples of the energy-accumulating power station of different capabilities to be studied; E si, jfor nodes i installs P jmaxduring energy-accumulating power station overall efficiency indicator, initial value is 0; Make i=0, j=0;
1.2.2:i=i+1, j=j+1, turns next step;
1.2.3: the parameter according to energy-accumulating power station: the output rating P of energy-accumulating power station accumulator jmaxwith the specified storage of electrical energy W stored jmax, life of storage battery N, utilizes described Comprehensive Benefit Evaluation mathematical model, and computing node i access capacity is P jmaxenergy-accumulating power station after the economic benefits indicator E of electrical network si, j;
1.2.4: judge whether j≤l, if so, make j=j+1, go to step 1.2.3; If not, next step is entered;
1.2.5: compare after node i access energy-accumulating power station, corresponding different energy-accumulating power station output rating P jmax(j=1,2 ..., economic benefits indicator E time l) si, j, obtain maximum economic benefit index E si, max;
1.2.6: judge whether i≤n, if so, go to step 1.2.2; If not, next step is entered;
1.2.7: calculate and terminate and Output rusults.
CN201510141641.3A 2015-03-27 2015-03-27 Comprehensive assessment method of economic benefit of power distribution network energy storage power station Pending CN104820948A (en)

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CN107482660B (en) * 2017-09-04 2020-12-08 国网江苏省电力公司经济技术研究院 Active power distribution network energy storage configuration method based on double energy storage systems
CN108879653A (en) * 2018-05-31 2018-11-23 中国电力科学研究院有限公司 A kind of profit method and system based on energy-accumulating power station
CN110969478A (en) * 2019-11-01 2020-04-07 国网浙江海宁市供电有限公司 Method for multidimensional improvement of energy storage value under new energy high-permeability background
CN110994646A (en) * 2019-12-11 2020-04-10 国网河南省电力公司电力科学研究院 Power grid AGC (automatic gain control) adjustment operation effect evaluation method and system and storage medium
CN110994646B (en) * 2019-12-11 2024-02-09 国网河南省电力公司电力科学研究院 Method, system and storage medium for evaluating running effect of AGC (automatic gain control) adjustment of power grid
CN113625172A (en) * 2021-08-11 2021-11-09 万克能源科技有限公司 Lithium battery energy storage operation benefit influence factor analysis method
CN113625172B (en) * 2021-08-11 2024-06-07 万克能源科技有限公司 Analysis method for influence factors of lithium battery energy storage operation and maintenance optimization

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