Multi-index comprehensive evaluation and model selection method and system for energy storage type of energy storage power station

Abstract

The invention provides a multi-index comprehensive evaluation and model selection method and system for the energy storage type of an energy storage power station, and the method comprises the steps: building an energy storage type evaluation index system composed of multi-stage evaluation indexes according to the construction investment cost, the safe and stable operation capability, the investment construction difficulty and the operation maintenance difficulty of the energy storage power station; the method comprises the following steps of: performing multi-index comprehensive evaluation on each energy storage type by adopting a hierarchical progressive method, evaluating the evaluation result of each evaluation index, determining the weight of each evaluation index, performing multi-index comprehensive evaluation on each energy storage type by adopting a hierarchical progressive method, and selecting the energy storage type of the energy storage power station according to the multi-index comprehensive evaluation result of each energy storage type. According to the method, the construction investment cost, the investment construction difficulty and the operation maintenance difficulty of the energy storage power station can be reduced, the income and the safe and stable operation capability of the energy storage power station can be improved, and the energy storage type of the energy storage power station can be evaluated and selected visually, rapidly, accurately and comprehensively; and a decision basis is provided for energy storage type selection of the energy storage power station.

Description

Technical Field

[0001] The present invention belongs to the field of new energy technology and relates to an evaluation and selection method and system for energy storage types. Background Art

[0002] With the explosive growth of the energy storage market, there are many types of energy storage, including electrochemical energy storage such as lithium iron phosphate, all-vanadium liquid flow, sodium ion, iron-chromium liquid flow, mechanical energy storage such as compressed air energy storage, pumped storage, flywheel energy storage, supercapacitor and other power energy storage. How to combine actual needs and select the appropriate energy storage type has become a necessary link in the construction of energy storage power stations. At the same time, while the energy storage industry is developing rapidly, the incidence of safety accidents has also increased, posing a serious threat to the surrounding environment, personal and property. Safety is an important factor that cannot be ignored in the construction of energy storage power stations. In addition, the construction period, site selection difficulty, floor area, operation and maintenance difficulty, and system life bring invisible resource investment.

[0003] In the actual construction of energy storage power stations, the energy storage type is usually selected based on a single or a few indicators. Most of the selection is based on cost. The selection results are one-sided, inaccurate, and poorly intuitive, which may result in the final energy storage solution not being optimal or most in line with long-term interests. Summary of the invention

[0004] In order to solve the problems in the background technology that the selection results of energy storage types of energy storage power stations are one-sided, low in accuracy, poor in intuitiveness, and the final energy storage solution is not optimal or most in line with long-term interests, the present invention provides a multi-index comprehensive evaluation and selection method and system for energy storage types of energy storage power stations.

[0005] The method of the present invention comprises:

[0006] According to the construction investment cost, safe and stable operation capacity, investment and construction difficulty, and operation and maintenance difficulty of the energy storage power station, multi-level evaluation indicators of energy storage types are set for each energy storage type of the energy storage power station, and the evaluation indicators are grouped according to the dominant relationship and linked into an orderly evaluation hierarchy. Based on the evaluation hierarchy, an energy storage type evaluation indicator system is established;

[0007] According to the safety or working difficulty of the energy storage type, the qualitative evaluation indicators in the lowest level evaluation indicators are graded and quantitatively evaluated. According to the operating status parameters of the energy storage type, the quantitative evaluation indicators in the lowest level evaluation indicators are evaluated by normalization method to obtain the evaluation results of the lowest level evaluation indicators.

[0008] Determine the weights of all evaluation indicators in the energy storage type evaluation indicator system;

[0009] Adopting a hierarchical method, the evaluation indicators of the previous level are evaluated according to the evaluation results of the lowest level evaluation indicators and the corresponding weights. Similarly, the evaluation indicators of the previous level are evaluated according to the evaluation results of the next level evaluation indicators and the corresponding weights, and a multi-indicator comprehensive evaluation is conducted on each energy storage type.

[0010] The energy storage type of the energy storage power station is selected based on the comprehensive evaluation results of multiple indicators of each energy storage type.

[0011] Furthermore, the multi-level evaluation indicators of energy storage types in the new energy power grid evaluation index system include: first-level evaluation indicators and second-level evaluation indicators; the first-level evaluation indicators include: economic evaluation indicators, construction condition evaluation indicators, and operation reliability evaluation indicators; the second-level evaluation indicators are sub-indicators of each evaluation indicator in the first-level evaluation indicators; the sub-indicators of the economic evaluation indicators include: energy storage type cost, energy storage type benefit; the sub-indicators of the construction condition evaluation indicators include: energy storage type area, energy storage type construction period, energy storage type site selection difficulty; the sub-indicators of the operation reliability evaluation indicators include: energy storage type safety, energy storage type life, energy storage type operation and maintenance difficulty.

[0012] Furthermore, among the sub-indicators of the economic evaluation indicator,

[0013] The energy storage type cost d can be calculated according to the following formula (1):

[0014]

[0015] Among them, C 0 is the initial investment cost, m is the total number of energy storage types, N j is the operating life of the jth type of energy storage, j = 1-m; C Mji is the operation and maintenance cost of the j-th type of energy storage in the i-th year, c i is the charging electricity price in the i-th year, i = 1-N; η sj E is the charge-discharge cycle efficiency of the jth type of energy storage, j = 1-m; fji is the annual grid-connected power of the jth type of energy storage in the i-th year, E fi is the total annual grid-connected electricity of the energy storage power station in the i-th year, i = 1-N; N is the life of the power station, N = max{N 1 ,......N m}; r is the discount rate, i is the operating year;

[0016] The annual grid-connected power E of the j-th energy storage system fji It can be calculated by the following formula (2):

[0017] E fji =N xi Q E θDOD η d (1-iσ)(2),

[0018] Where N xi is the number of charge and discharge cycles in the i-th year, Q E is the capacity of the energy storage system, θ DOD is the charge and discharge depth, η d is the discharge efficiency, i is the operating year, and σ is the annual average decay rate;

[0019] The annual grid-connected power generation of the energy storage power station in year i is E fi It can be calculated by the following formula (3):

[0020]

[0021] The cost of the energy storage type to be evaluated is normalized according to the following formula (4):

[0022]

[0023] Where, d max is the maximum cost of the energy storage power station to be compared, d min is the minimum cost of the energy storage power station to be compared, d is the cost of the energy storage type to be normalized, and s is the normalized cost score of the energy storage power station;

[0024] The energy storage type income includes spot market transactions, frequency regulation income, capacity leasing, and ancillary service income. The energy storage type income I is selected according to the policy of the project construction site and calculated using software or standardized calculation tables;

[0025] The benefits of the energy storage type to be evaluated are normalized according to the following formula (5):

[0026]

[0027] In the formula, I max is the maximum benefit of the energy storage type to be compared, I min is the minimum benefit of the energy storage type to be compared, I is the benefit of the energy storage type to be normalized, and s is the normalized benefit score of the energy storage power station.

[0028] Furthermore, among the sub-indicators of the construction condition assessment indicator,

[0029] In the evaluation of the area occupied by the energy storage type, the area occupied by the energy storage type to be evaluated is normalized according to the following formula (6):

[0030]

[0031] Where A is the area of ​​the energy storage system to be normalized, Amax and A min are the maximum and minimum floor areas of the energy storage systems to be compared, respectively, and s is the normalized floor area score of the energy storage system;

[0032] In the evaluation of the construction period of the energy storage type, the construction period of the energy storage system to be evaluated is normalized according to the following formula (7):

[0033]

[0034] Where, T is the construction period of the energy storage system to be normalized, T max and T min are the longest and shortest construction periods of the energy storage systems to be compared, respectively, and s is the normalized construction period score of the energy storage system;

[0035] In the assessment of the difficulty of site selection for the energy storage types, the assessment levels are divided and quantitatively assessed from large to small according to the difficulty of site selection for project construction.

[0036] Furthermore, among the sub-indicators of the operation reliability evaluation index,

[0037] In the assessment of the safety of the energy storage types, the assessment levels are divided and quantitatively assessed from large to small according to the possibility of safety accidents occurring in the energy storage types;

[0038] In the evaluation of the life of the energy storage type, the life of the energy storage power station to be evaluated is normalized according to the following formula (8):

[0039]

[0040] Where, L is the normalized energy storage life, L max and L min are the longest and shortest lifespans of the energy storage power stations to be compared, and s is the normalized power station life score of the energy storage system;

[0041] In the evaluation of the difficulty of operation and maintenance of energy storage types, the evaluation levels are divided and quantitatively evaluated from large to small according to the difficulty of operation and maintenance work of energy storage types.

[0042] Furthermore, the analytic hierarchy process is used to determine the weights of all evaluation indicators in the energy storage type evaluation index system:

[0043] Determine the weight of the first-level evaluation indicators, formulate the importance ranking of the first-level evaluation indicators, and construct the first-level evaluation indicator judgment matrix according to the hierarchical analysis method. The elements in the first-level evaluation indicator judgment matrix are the scale values ​​obtained by comparing the importance of the first-level evaluation indicators pairwise. The weight of the first-level evaluation indicators can be obtained by calculating the first-level evaluation indicator judgment matrix;

[0044] Determine the weight of each sub-indicator of the first-level evaluation indicator, namely the second-level evaluation indicator, formulate the importance ranking of the second-level evaluation indicators, and construct the second-level evaluation indicator judgment matrix according to the hierarchical analysis method. The elements in the second-level evaluation indicator judgment matrix are the scale values ​​obtained by comparing the importance of the second-level evaluation indicators pairwise. The weight of the second-level evaluation indicator can be obtained by calculating the second-level evaluation indicator judgment matrix.

[0045] Furthermore, the energy storage type multi-index comprehensive evaluation result S can be calculated by the following formula (9):

[0046]

[0047] In the formula, ω j is the weight of the first-level evaluation index j; n is the number of first-level evaluation indicators; ω ji is the weight of the second-level evaluation index i under the jth first-level evaluation index; s ji is the score of the second-level evaluation index i under the jth first-level evaluation index; n j is the number of secondary evaluation indicators included in the jth primary evaluation indicator.

[0048] The present invention also proposes a multi-index comprehensive evaluation and selection system for energy storage types of energy storage power stations, including an energy storage type evaluation index system establishment module, an evaluation index evaluation calculation module, an evaluation index weight determination module, a multi-index comprehensive evaluation module and an energy storage type selection module.

[0049] The energy storage type evaluation index system establishment module is used to set multi-level evaluation indicators of energy storage types for each energy storage type of energy storage power station based on the construction investment cost, safe and stable operation capacity, investment and construction difficulty, and operation and maintenance difficulty of the energy storage power station, and group the evaluation indicators according to the dominant relationship and link them into an orderly evaluation hierarchy structure, and establish the energy storage type evaluation index system based on the evaluation hierarchy structure; the evaluation index evaluation calculation module is used to classify and quantify the qualitative evaluation indicators in the lowest level evaluation indicators according to the safety or working difficulty of the energy storage type, and use the normalization method to classify and quantify the qualitative evaluation indicators in the lowest level evaluation indicators according to the operating status parameters of the energy storage type. The evaluation indicators are evaluated to obtain the evaluation results of the bottom-level evaluation indicators; the evaluation indicator weight determination module is used to determine the weights of all evaluation indicators in the energy storage type evaluation indicator system; the multi-indicator comprehensive evaluation module is used to adopt a hierarchical progressive method to evaluate the upper-level evaluation indicators according to the evaluation results of the bottom-level evaluation indicators and the corresponding weights, and so on, to evaluate the upper-level evaluation indicators according to the evaluation results of the next-level evaluation indicators and the corresponding weights, and to perform a multi-indicator comprehensive evaluation on each energy storage type; the energy storage type selection module is used to select the energy storage type of the energy storage power station according to the multi-indicator comprehensive evaluation results of each energy storage type.

[0050] The present invention also proposes an electronic device, comprising: a memory and a processor, wherein the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor executes the computer instructions to implement the multi-index comprehensive evaluation and selection method of energy storage types of energy storage power stations as described above.

[0051] The present invention also proposes a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, it implements the multi-index comprehensive evaluation and selection method of energy storage types of energy storage power stations as described above.

[0052] Compared with the prior art, the present invention establishes an energy storage type evaluation index system consisting of multi-level evaluation indicators based on the construction investment cost, safe and stable operation capacity, investment and construction difficulty, and operation and maintenance difficulty of the energy storage power station, and evaluates the evaluation results of each evaluation indicator, and at the same time determines the weight of each evaluation indicator, and finally adopts a hierarchical progressive method to conduct a multi-indicator comprehensive evaluation of each energy storage type, so as to select the energy storage type of the energy storage power station based on the multi-indicator comprehensive evaluation results of each energy storage type. The present invention establishes an energy storage type evaluation index system from the perspective of the actual construction of the energy storage power station, and considers factors including construction investment cost, safe and stable operation capacity, investment and construction difficulty, and operation and maintenance difficulty. It considers the key factors affecting the construction of the energy storage power station throughout the life cycle, covers all aspects of the construction of the energy storage power station, and adopts a combination of qualitative and quantitative methods to evaluate the selection of energy storage types from multiple dimensions, solving the problems that the selection results of the energy storage type of the energy storage power station are one-sided, low in accuracy, poor in intuitiveness, and the final energy storage solution is not the best or most in line with the long-term interests. The present invention is not only conducive to reducing the construction investment cost, investment and construction difficulty, and operation and maintenance difficulty of energy storage power stations, but also conducive to improving the revenue and safe and stable operation capabilities of energy storage power stations. Through the present invention, the energy storage type of energy storage power stations can be evaluated and selected intuitively, quickly, accurately, and comprehensively, providing a decision-making basis for the selection of energy storage types for energy storage power stations. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] Figure 1 The figure is a flow chart of the method of the present invention.

[0054] Figure 2 It is a tree diagram of the energy storage type evaluation index system of the present invention.

[0055] Figure 3 It is a system architecture diagram of the present invention. DETAILED DESCRIPTION

[0056] In order to make the technical problems, technical solutions and beneficial effects to be solved by the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0057] Example 1

[0058] The multi-index comprehensive evaluation and selection method of energy storage power station energy storage type is as follows: Figure 1 A 100MW / 400MWh energy storage power station, the energy storage types to be selected are: lithium iron phosphate energy storage system, all-vanadium liquid flow energy storage system, compressed air energy storage system, combined with the comprehensive evaluation and selection of energy storage types of the energy storage power station, the present invention is further described in detail as follows.

[0059] First, based on the construction investment cost, safe and stable operation capacity, investment and construction difficulty, and operation and maintenance difficulty of the energy storage power station, multi-level evaluation indicators for energy storage types are set for each energy storage type of the energy storage power station. The evaluation indicators are grouped according to the dominant relationship and linked into an orderly evaluation hierarchy. An energy storage type evaluation indicator system is established based on the evaluation hierarchy.

[0060] Specifically, the tree diagram of the energy storage type evaluation index system is as follows: Figure 2 As shown in the figure, the multi-level evaluation indicators of energy storage type in the new energy grid evaluation index system include: primary evaluation indicators and secondary evaluation indicators.

[0061] The first-level evaluation indicators include: economic evaluation indicators, construction condition evaluation indicators, and operation reliability evaluation indicators.

[0062] The second-level evaluation indicators are sub-indicators of each evaluation indicator in the first-level evaluation indicators.

[0063] The sub-indicators of the economic evaluation index include: energy storage type cost and energy storage type benefit.

[0064] The sub-indicators of the construction condition assessment index include: area occupied by energy storage type, construction period of energy storage type, and difficulty of site selection of energy storage type.

[0065] The sub-indicators of the operational reliability assessment index include: energy storage type safety, energy storage type life, and energy storage type operation and maintenance difficulty.

[0066] Then, the qualitative evaluation indicators in the lowest level of evaluation indicators are graded and quantitatively evaluated according to the safety or working difficulty of the energy storage type. The quantitative evaluation indicators in the lowest level of evaluation indicators are evaluated using the normalization method according to the operating status parameters of the energy storage type to obtain the evaluation results of the lowest level of evaluation indicators.

[0067] Specifically, the evaluation method of the sub-indicators of the economic evaluation index is as follows:

[0068] The energy storage type cost d can be calculated according to the following formula (1):

[0069]

[0070] Among them, C 0 is the initial investment cost, m is the total number of energy storage types, N j is the operating life of the jth type of energy storage, j = 1-m; C Mji is the operation and maintenance cost of the j-th type of energy storage in the i-th year, c i is the charging electricity price in the i-th year, i = 1-N; η sj E is the charge-discharge cycle efficiency of the jth type of energy storage, j = 1-m; fji is the annual grid-connected power of the jth type of energy storage in the i-th year, E fi is the total annual grid-connected electricity of the energy storage power station in the i-th year, i = 1-N; N is the life of the power station, N = max{N 1 ,......N m}; r is the discount rate, i is the operating year;

[0071] The annual grid-connected power E of the j-th energy storage system fji It can be calculated by the following formula (2):

[0072] E fji =N xi Q E θ DOD η d (1-iσ)(2),

[0073] Where N xi is the number of charge and discharge cycles in the i-th year, Q E is the capacity of the energy storage system, θ DOD is the charge and discharge depth, η d is the discharge efficiency, i is the operating year, and σ is the annual average decay rate;

[0074] The annual grid-connected power generation of the energy storage power station in year i is E fi It can be calculated by the following formula (3):

[0075]

[0076] In addition, optionally, the energy storage type cost can also be calculated based on professional software.

[0077] For the construction of energy storage power stations, the lower the cost of the energy storage type, the better. The cost of the energy storage type to be evaluated is normalized according to the following formula (4):

[0078]

[0079] Where, d max is the maximum cost of the energy storage power station to be compared, d min is the minimum cost of the energy storage power station to be compared, d is the cost of the energy storage type to be normalized, and s is the normalized cost score of the energy storage power station.

[0080] This example analyzes a single type of energy storage, so the energy storage type parameter m is 1. The cost per kWh d of the lithium iron phosphate energy storage system, the all-vanadium liquid flow energy storage system, and the compressed air energy storage system to be compared are calculated by equations (1) and (2) to be 0.6996 yuan / kWh, 0.8705 yuan / kWh, and 0.7494 yuan / kWh, respectively. The cost is normalized according to equation (4), that is, d max is 0.8705, d min The normalized cost scores s of lithium iron phosphate energy storage system, all-vanadium liquid flow energy storage system, and compressed air energy storage system are 1, 0, and 0.7086, respectively.

[0081] Energy storage type income includes spot market transactions, frequency regulation income, capacity leasing, and ancillary service income. The energy storage type income I is selected according to the policy of the project construction site and calculated using software or standardized calculation tables. In this embodiment, the energy storage type income sources include spot transactions and capacity leasing. The professional software is used to calculate the yields of the selected lithium iron phosphate energy storage system, all-vanadium liquid flow energy storage system, and compressed air energy storage system, which are 19.62%, 7.68%, and 10.71%, respectively.

[0082] For the construction of energy storage power stations, the higher the benefits, the better. The benefits of the energy storage type to be evaluated are normalized according to the following formula (5):

[0083]

[0084] In the formula, I max is the maximum benefit of the energy storage type to be compared, I min is the minimum benefit of the energy storage type to be compared, I is the benefit of the energy storage type to be normalized, and s is the normalized benefit score of the energy storage power station.

[0085] According to formula (5), the income is normalized, that is, I max is 19.62%, d min It is 7.68%. The normalized score values ​​s of lithium iron phosphate energy storage system, all-vanadium liquid flow energy storage system, and compressed air energy storage system are 1, 0, and 0.2538 respectively.

[0086] Specifically, the evaluation method of the sub-indicators of the construction condition evaluation indicator is as follows:

[0087] In the evaluation of the area occupied by energy storage types, the smaller the area occupied, the better. The area occupied by the energy storage type to be evaluated is normalized according to the following formula (6):

[0088]

[0089] Where A is the area of ​​the energy storage system to be normalized, A max and A min are the maximum and minimum floor areas of the energy storage systems to be compared, respectively, and s is the normalized floor area score of the energy storage system.

[0090] For 100MW / 400MWh energy storage power station, lithium iron phosphate energy storage power station, all-vanadium liquid flow energy storage power station, and compressed air energy storage power station, the land area A is 29.2 mu, 41 mu, and 150 mu respectively. The land area is normalized according to formula (6), that is, A max is 150, A min The normalized score values ​​s of the lithium iron phosphate energy storage power station, the all-vanadium liquid flow energy storage power station, and the compressed air energy storage power station are 1, 0.9023, and 0, respectively.

[0091] In the evaluation of the construction period of energy storage types, the shorter the construction period, the better. The construction period of the energy storage system to be evaluated is normalized according to the following formula (7):

[0092]

[0093] Where, T is the construction period of the energy storage system to be normalized, T max and T min are the longest and shortest construction periods of the energy storage systems to be compared, respectively, and s is the normalized construction period score of the energy storage system.

[0094] The construction periods T of lithium iron phosphate energy storage power station, all-vanadium liquid flow energy storage power station, and compressed air energy storage power station are 1 year, 1 year, and 2 years respectively. The construction period is normalized according to formula (7), that is, T max =2, T min The normalized score values ​​s of the construction period of lithium iron phosphate energy storage power station, all-vanadium liquid flow energy storage power station and compressed air energy storage power station are 1, 1 and 0 respectively.

[0095] In the evaluation of the difficulty of site selection for energy storage types, the site selection difficulty of the project construction is divided into four levels from large to small and quantitatively evaluated. Specifically, the site selection difficulty of energy storage types is divided into four levels: excellent, medium and poor, which can be quantified according to Table 1. In the table, "excellent" means the lowest site selection difficulty, and "poor" means the highest site selection difficulty.

[0096] Table 1 Quantitative scoring table

[0097] Security Level excellent good middle Difference Ratings 1 0.9 0.8 0.6

[0098] According to the actual operation of the lithium iron phosphate energy storage system, the all-vanadium liquid flow energy storage system, and the compressed air energy storage system to be compared, the safety levels of the three are poor, excellent, and excellent, respectively. Therefore, according to Table 1, the quantified scores s are 0.6, 1, and 1, respectively.

[0099] Specifically, the evaluation method of the sub-indicators of the operation reliability evaluation index is as follows:

[0100] In the assessment of the safety of energy storage types, the assessment level is divided and quantitatively evaluated from large to small according to the possibility of safety accidents occurring in energy storage types. Specifically, according to the possibility of safety accidents occurring in energy storage types, the safety level of energy storage types is divided into four levels: excellent, medium, poor, and quantitatively scored according to Table 1.

[0101] According to the actual operation of the lithium iron phosphate energy storage system, the all-vanadium liquid flow energy storage system, and the compressed air energy storage system to be compared, the safety levels of the three are poor, excellent, and excellent, respectively. Therefore, according to Table 1, the quantified scores s are 0.6, 1, and 1, respectively.

[0102] In the evaluation of the life of energy storage types, the longer the service life, the better. The life of the energy storage power station to be evaluated is normalized according to the following formula (8):

[0103]

[0104] Where, L is the normalized energy storage life, L max and L min are the longest and shortest lifespans of the energy storage power stations to be compared, and s is the normalized power station life score of the energy storage system.

[0105] According to the actual operation of the lithium iron phosphate energy storage power station, the all-vanadium liquid flow energy storage power station, and the compressed air energy storage power station to be compared, the lifespan L of the three power stations are 20 years, 25 years, and 40 years respectively. The lifespan is normalized according to formula (8), that is, L max 40,L min The normalized score s of lithium iron phosphate energy storage power station, all-vanadium liquid flow energy storage power station and compressed air energy storage power station are 0, 0.75 and 1 respectively.

[0106] In the evaluation of the difficulty of energy storage type operation and maintenance, the difficulty of energy storage type operation and maintenance work is divided into evaluation levels from large to small and quantitatively evaluated. Specifically, the operation and maintenance difficulty is divided into four levels: excellent, medium and poor, which can be quantified according to Table 1. In the table, "excellent" means the lowest operation and maintenance difficulty, and "poor" means the highest operation and maintenance difficulty.

[0107] According to the actual operation of the lithium iron phosphate energy storage system, all-vanadium liquid flow energy storage system, and compressed air energy storage system to be compared, the operation and maintenance difficulties of the three are good, medium, and excellent, respectively. Therefore, according to Table 1, the quantified scores s are 0.9, 0.8, and 1, respectively.

[0108] At the same time, the weights of all evaluation indicators in the energy storage type evaluation indicator system are determined.

[0109] Specifically, the analytic hierarchy process is used to determine the weights of all evaluation indicators in the energy storage type evaluation indicator system: determine the weights of the first-level evaluation indicators, formulate the importance ranking of the first-level evaluation indicators, construct the first-level evaluation indicator judgment matrix according to the analytic hierarchy process, the elements in the first-level evaluation indicator judgment matrix are the scale values ​​obtained by comparing the importance of the first-level evaluation indicators pairwise, and the weights of the first-level evaluation indicators can be obtained by calculating the first-level evaluation indicator judgment matrix; determine the weights of each sub-indicator of the first-level evaluation indicator, namely the second-level evaluation indicator, formulate the importance ranking of the second-level evaluation indicators, and construct the second-level evaluation indicator judgment matrix according to the analytic hierarchy process, the elements in the second-level evaluation indicator judgment matrix are the scale values ​​obtained by comparing the importance of the second-level evaluation indicators pairwise, and the weights of the second-level evaluation indicators can be obtained by calculating the second-level evaluation indicator judgment matrix.

[0110] In this embodiment, for the first-level evaluation indicators, the indicator importance is ranked as follows: economic evaluation indicator > construction condition evaluation indicator > operation reliability evaluation indicator. The first-level evaluation indicator judgment matrix is ​​constructed according to the hierarchical analysis method. The elements in the judgment matrix are scale values ​​obtained by comparing the importance of the indicators pairwise. The selection of the scale values ​​refers to Table 2.

[0111] Table 2

[0112] Importance same Slightly important Clearly important Absolutely important 1~9 scale 1 3 5 9 Proportional Scale 1 1.2 1.4 1.8

[0113] Based on the above analysis, the first-level evaluation index judgment matrix P is obtained as shown below:

[0114]

[0115] The weight coefficient ω is calculated as follows: [0.4118 0.3431 0.2451], and the corresponding indicators are economic evaluation index, construction condition evaluation index, and operation reliability evaluation index.

[0116] Determine the weight of each sub-indicator under the economic evaluation index, formulate the index importance ranking as: benefit > cost, and calculate the weight coefficient ω as: [0.5455 0.4545], and the corresponding indicators are: energy storage type benefit and energy storage type cost.

[0117] Determine the weight of each sub-indicator under the construction condition assessment index, and formulate the index importance ranking as follows: site selection difficulty > construction period > land area. The weight coefficient ω is calculated to be: [0.4118 0.3431 0.2451]. The corresponding indicators are: energy storage type site selection difficulty, energy storage type construction period, and energy storage type land area.

[0118] Determine the weight of each sub-indicator under the operation reliability evaluation index, and formulate the indicator importance ranking as: system safety> service life> operation and maintenance difficulty. The weight coefficient ω is calculated to be: [0.4118 0.3431 0.2451]. The corresponding indicators are: energy storage type safety, energy storage type life, and energy storage type operation and maintenance difficulty.

[0119] Next, a hierarchical method is adopted to evaluate the evaluation indicators of the previous level according to the evaluation results of the lowest level evaluation indicators and the corresponding weights. Similarly, the evaluation indicators of the previous level are evaluated according to the evaluation results of the next level evaluation indicators and the corresponding weights, and a multi-indicator comprehensive evaluation is conducted on each energy storage type.

[0120] The comprehensive evaluation result S of multiple indicators of energy storage type can be calculated by the following formula (9):

[0121]

[0122] In the formula, ω j is the weight of the first-level evaluation index j; n is the number of first-level evaluation indicators; ω ji is the weight of the second-level evaluation index i under the jth first-level evaluation index; s ji is the score of the second-level evaluation index i under the jth first-level evaluation index; n j is the number of secondary evaluation indicators included in the jth primary evaluation indicator.

[0123] Based on the weight coefficient ω and the normalized score values ​​of each indicator of different energy storage types, the comprehensive scores of lithium iron phosphate energy storage, all-vanadium liquid flow energy storage, and compressed air energy storage are calculated according to formula (9) to be 0.87, 0.5469, and 0.5477, respectively.

[0124] The energy storage type of the energy storage power station is selected based on the comprehensive evaluation results of multiple indicators of each energy storage type.

[0125] Therefore, combined with the comprehensive scores of the above-mentioned lithium iron phosphate energy storage, all-vanadium liquid flow energy storage, and compressed air energy storage, the energy storage type of this energy storage power station can be lithium iron phosphate energy storage.

[0126] Example 2

[0127] The multi-index comprehensive evaluation and selection system of energy storage power station energy storage type is shown in the following figure. Figure 3As shown, it consists of an energy storage type evaluation index system establishment module, an evaluation index evaluation calculation module, an evaluation index weight determination module, a multi-index comprehensive evaluation module and an energy storage type selection module.

[0128] The module for establishing the energy storage type evaluation index system is used to set multi-level evaluation indicators for each energy storage type of the energy storage power station based on the construction investment cost, safe and stable operation capacity, investment and construction difficulty, and operation and maintenance difficulty of the energy storage power station. The evaluation indicators are grouped according to the dominant relationship and linked into an orderly evaluation hierarchy, and the energy storage type evaluation index system is established based on the evaluation hierarchy.

[0129] The evaluation index evaluation calculation module is used to classify and quantify the qualitative evaluation indicators in the lowest level evaluation indicators according to the safety or working difficulty of the energy storage type, and to evaluate the quantitative evaluation indicators in the lowest level evaluation indicators using a normalization method according to the operating status parameters of the energy storage type to obtain the evaluation results of the lowest level evaluation indicators.

[0130] The evaluation index weight determination module is used to determine the weights of all evaluation indexes in the energy storage type evaluation index system.

[0131] The multi-indicator comprehensive evaluation module adopts a hierarchical progressive method to evaluate the evaluation indicators of the previous level according to the evaluation results of the lowest level evaluation indicators and the corresponding weights, and so on, to evaluate the evaluation indicators of the previous level according to the evaluation results of the next level evaluation indicators and the corresponding weights, and to conduct a multi-indicator comprehensive evaluation of each energy storage type.

[0132] The energy storage type selection module is used to select the energy storage type of the energy storage power station based on the comprehensive evaluation results of multiple indicators of each energy storage type.

[0133] The specific implementation method of each module in the system is consistent with that described in Example 1 and will not be repeated here.

[0134] Example 3

[0135] An electronic device comprises: a memory and a processor, wherein the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor executes the computer instructions to implement the multi-index comprehensive evaluation and selection method for energy storage types of energy storage power stations as described in the above-mentioned embodiment 1, and the multi-index comprehensive evaluation and selection system for energy storage types of energy storage power stations as described in embodiment 2.

[0136] Example 4

[0137] A computer-readable storage medium storing a computer program, wherein the computer program, when executed by a processor, implements the multi-index comprehensive evaluation and selection method for energy storage types of energy storage power stations as described in the above-mentioned embodiment 1, and the multi-index comprehensive evaluation and selection system for energy storage types of energy storage power stations as described in embodiment 2.

[0138] Those skilled in the art will appreciate that the embodiments of the present application can be provided as methods, systems, or computer program products. Therefore, the application can adopt the form of complete hardware embodiment, complete software embodiment, or the embodiment in combination with software and hardware. Moreover, the application can adopt the form of the computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code. The scheme in the embodiment of the present application can be implemented in various computer languages, for example, object-oriented programming language Java, C++, Python and literal scripting language JavaScript, etc.

[0139] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0140] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0141] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1The steps for the functions specified in one or more boxes.

[0142] Although the preferred embodiments of the present application have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications falling within the scope of the present application.

[0143] Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is also intended to include these modifications and variations.

Claims

1. A multi-index comprehensive evaluation and selection method for energy storage power station energy storage types, characterized in that: include: According to the construction investment cost, safe and stable operation capacity, investment and construction difficulty, and operation and maintenance difficulty of the energy storage power station, multi-level evaluation indicators of energy storage types are set for each energy storage type of the energy storage power station, and the evaluation indicators are grouped according to the dominant relationship and linked into an orderly evaluation hierarchy. Based on the evaluation hierarchy, an energy storage type evaluation indicator system is established; According to the safety or working difficulty of the energy storage type, the qualitative evaluation indicators in the lowest level evaluation indicators are graded and quantitatively evaluated. According to the operating status parameters of the energy storage type, the quantitative evaluation indicators in the lowest level evaluation indicators are evaluated by normalization method to obtain the evaluation results of the lowest level evaluation indicators. Determine the weights of all evaluation indicators in the energy storage type evaluation indicator system; Adopting a hierarchical method, the evaluation indicators of the previous level are evaluated according to the evaluation results of the lowest level evaluation indicators and the corresponding weights. Similarly, the evaluation indicators of the previous level are evaluated according to the evaluation results of the next level evaluation indicators and the corresponding weights, and a multi-indicator comprehensive evaluation is conducted on each energy storage type. The energy storage type of the energy storage power station is selected based on the comprehensive evaluation results of multiple indicators of each energy storage type.

2. The multi-index comprehensive evaluation and selection method for energy storage types of energy storage power stations according to claim 1 is characterized by: The energy storage type multi-level evaluation index of the new energy grid evaluation index system includes: a primary evaluation index and a secondary evaluation index; The first-level evaluation indicators include: economic evaluation indicators, construction condition evaluation indicators, and operation reliability evaluation indicators; the second-level evaluation indicators are sub-indicators of each evaluation indicator in the first-level evaluation indicators; The sub-indicators of the economic evaluation index include: energy storage type cost, energy storage type benefit; The sub-indicators of the construction condition assessment indicators include: the area occupied by the energy storage type, the construction period of the energy storage type, and the difficulty of site selection of the energy storage type; The sub-indicators of the operational reliability evaluation index include: energy storage type safety, energy storage type life, and energy storage type operation and maintenance difficulty.

3. The multi-index comprehensive evaluation and selection method for energy storage types of energy storage power stations according to claim 2 is characterized by: Among the sub-indicators of the economic evaluation index, The energy storage type cost d can be calculated according to the following formula (1): Where C0 is the initial investment cost, m is the total number of energy storage types, N j is the operating life of the jth type of energy storage, j = 1-m; C Mji is the operation and maintenance cost of the j-th type of energy storage in the i-th year, c i is the charging electricity price in the i-th year, i = 1-N; η sj E is the charge-discharge cycle efficiency of the jth type of energy storage, j = 1-m; fji is the annual grid-connected power of the jth type of energy storage in the i-th year, E fi is the total annual grid-connected electricity of the energy storage power station in the i-th year, i = 1-N; N is the life of the power station, N = max{N1,...N m }; r is the discount rate, i is the operating year; The annual grid-connected power E of the j-th energy storage system fji It can be calculated by the following formula (2): E fji =N xi Q E i DOD or d (1-iσ)(2), Where N xi is the number of charge and discharge cycles in the i-th year, Q E is the capacity of the energy storage system, θ DOD is the charge and discharge depth, η d is the discharge efficiency, i is the operating year, and σ is the annual average decay rate; The annual grid-connected power generation E of the energy storage power station in the i-th year fi It can be calculated by the following formula (3): The cost of the energy storage type to be evaluated is normalized according to the following formula (4): Where, d max is the maximum cost of the energy storage power station to be compared, d min is the minimum cost of the energy storage power station to be compared, d is the cost of the energy storage type to be normalized, and s is the normalized cost score of the energy storage power station; The energy storage type income includes spot market transactions, frequency regulation income, capacity leasing, and ancillary service income. The energy storage type income I is selected according to the policy of the project construction site and calculated using software or standardized calculation tables; The benefits of the energy storage type to be evaluated are normalized according to the following formula (5): In the formula, I max is the maximum benefit of the energy storage type to be compared, I min is the minimum benefit of the energy storage type to be compared, I is the benefit of the energy storage type to be normalized, and s is the normalized benefit score of the energy storage power station.

4. The multi-index comprehensive evaluation and selection method for energy storage types of energy storage power stations according to claim 2 is characterized by: Among the sub-indicators of the construction condition assessment indicator, In the evaluation of the area occupied by the energy storage type, the area occupied by the energy storage type to be evaluated is normalized according to the following formula (6): Where A is the area of ​​the energy storage system to be normalized, A max and A min are the maximum and minimum floor areas of the energy storage systems to be compared, respectively, and s is the normalized floor area score of the energy storage system; In the evaluation of the construction period of the energy storage type, the construction period of the energy storage system to be evaluated is normalized according to the following formula (7): Where, T is the construction period of the energy storage system to be normalized, T max and T min are the longest and shortest construction periods of the energy storage systems to be compared, respectively, and s is the normalized construction period score of the energy storage system; In the assessment of the difficulty of site selection for the energy storage types, the assessment levels are divided and quantitatively assessed from large to small according to the difficulty of site selection for project construction.

5. The multi-index comprehensive evaluation and selection method for energy storage types of energy storage power stations according to claim 2 is characterized by: Among the sub-indicators of the operation reliability evaluation index, In the assessment of the safety of the energy storage types, the assessment levels are divided and quantitatively assessed from large to small according to the possibility of safety accidents occurring in the energy storage types; In the evaluation of the life of the energy storage type, the life of the energy storage power station to be evaluated is normalized according to the following formula (8): Where, L is the normalized energy storage life, L max and L min are the longest and shortest lifespans of the energy storage power stations to be compared, and s is the normalized power station life score of the energy storage system; In the evaluation of the difficulty of operation and maintenance of energy storage types, the evaluation levels are divided and quantitatively evaluated from large to small according to the difficulty of operation and maintenance work of energy storage types.

6. The multi-index comprehensive evaluation and selection method for energy storage types of energy storage power stations according to any one of claims 1 to 5, characterized in that: The analytic hierarchy process is used to determine the weights of all evaluation indicators in the energy storage type evaluation index system: Determine the weight of the first-level evaluation indicators, formulate the importance ranking of the first-level evaluation indicators, and construct the first-level evaluation indicator judgment matrix according to the hierarchical analysis method. The elements in the first-level evaluation indicator judgment matrix are the scale values ​​obtained by comparing the importance of the first-level evaluation indicators pairwise. The weight of the first-level evaluation indicators can be obtained by calculating the first-level evaluation indicator judgment matrix; Determine the weight of each sub-indicator of the first-level evaluation indicator, namely the second-level evaluation indicator, formulate the importance ranking of the second-level evaluation indicators, and construct the second-level evaluation indicator judgment matrix according to the hierarchical analysis method. The elements in the second-level evaluation indicator judgment matrix are the scale values ​​obtained by comparing the importance of the second-level evaluation indicators pairwise. The weight of the second-level evaluation indicator can be obtained by calculating the second-level evaluation indicator judgment matrix.

7. The multi-index comprehensive evaluation and selection method for energy storage types of energy storage power stations according to claim 6 is characterized by: The energy storage type multi-index comprehensive evaluation result S can be calculated by the following formula (9): In the formula, ω j is the weight of the first-level evaluation index j; n is the number of first-level evaluation indicators; ω ji is the weight of the second-level evaluation index i under the jth first-level evaluation index; s ji is the score of the second-level evaluation index i under the jth first-level evaluation index; n j is the number of secondary evaluation indicators included in the jth primary evaluation indicator.

8. A multi-index comprehensive evaluation and selection system for energy storage power station energy storage types, characterized by: It includes an energy storage type evaluation index system establishment module, an evaluation index evaluation calculation module, an evaluation index weight determination module, a multi-index comprehensive evaluation module, and an energy storage type selection module; The energy storage type evaluation index system establishment module is used to set multi-level evaluation indicators of energy storage types for each energy storage type of energy storage power station according to the construction investment cost, safe and stable operation capacity, investment and construction difficulty, and operation and maintenance difficulty of the energy storage power station, and group the evaluation indicators according to the dominance relationship and link them into an orderly evaluation hierarchy structure, and establish an energy storage type evaluation index system according to the evaluation hierarchy structure; The evaluation index evaluation calculation module is used to classify and quantitatively evaluate the qualitative evaluation indicators in the lowest evaluation index according to the safety or working difficulty of the energy storage type, and to evaluate the quantitative evaluation indicators in the lowest evaluation index using a normalization method according to the operating status parameters of the energy storage type to obtain the evaluation results of the lowest evaluation index; The evaluation index weight determination module is used to determine the weights of all evaluation indexes in the energy storage type evaluation index system; The multi-index comprehensive evaluation module is used to adopt a hierarchical progressive method to evaluate the evaluation indicators of the previous level according to the evaluation results of the lowest level evaluation indicators and the corresponding weights, and so on, to evaluate the evaluation indicators of the previous level according to the evaluation results of the next level evaluation indicators and the corresponding weights, and to perform a multi-index comprehensive evaluation on each energy storage type; The energy storage type selection module is used to select the energy storage type of the energy storage power station according to the comprehensive evaluation results of multiple indicators of each energy storage type.

9. An electronic device, characterized in that: include: A memory and a processor, wherein the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor executes the computer instructions to implement the multi-index comprehensive evaluation and selection method for energy storage types of energy storage power stations as described in any one of claims 1 to 7.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the multi-index comprehensive evaluation and selection method for energy storage types of energy storage power stations as described in any one of claims 1 to 7 is implemented.

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