A method and device for evaluating comprehensive performance of energy storage power station

Abstract

The present invention provides a method and device for evaluating the comprehensive performance of an energy storage power station, which calculates the values ​​of each evaluation index in the energy storage power station; determines the comprehensive score of the energy storage power station based on the index value and the weight of each index; and evaluates the comprehensive performance of the energy storage power station based on the comprehensive score; the present invention combines the problems such as loss caused by the actual operation of the energy storage power station, and comprehensively considers the state characteristics, operation characteristics and economic characteristics of the energy storage power station. The evaluation structure is accurate, can reliably reflect the actual operation of the power station, and can be used for energy storage power stations with multiple working modes or different types of energy storage batteries, and has universal applicability. The technical solution provided by the present invention realizes the evaluation of the comprehensive performance of the energy storage power station, ensures the safe and efficient operation of the energy storage power station, and improves the safety stability and power quality level of the large power grid, improves the power transmission and transformation capacity, increases the power supply reliability, and promotes the large-scale access of renewable energy to the power grid.

Description

Technical Field

[0001] The present invention relates to the field of energy storage technology, and in particular to a method and device for evaluating the comprehensive performance of an energy storage power station. Background Art

[0002] Due to the fact that electric energy is not easy to store, the power system will face more complex challenges in balancing supply and demand. In addition, with the rise of new energy generation, there will be a phenomenon of multiple power generation technologies coexisting on the power generation side of the power system. The intermittent and instability characteristics of new energy generation generally reduce the reliability of power supply of the power grid. Similarly, the load situation on the user side of the power system is becoming more and more complicated, and the probability of accidents such as unexpected power outages is gradually increasing. Energy storage power station technology is one of the effective measures to solve the above problems. Traditional pumped storage energy storage power stations have a history of several decades, and research on them has been relatively in-depth. With the development of new energy storage technologies such as battery energy storage and flywheel energy storage, distributed energy storage power stations are becoming an effective supplement to traditional centralized energy storage systems. The comprehensive evaluation of energy storage power stations in the prior art only considers a single grid-side or user-side application, only evaluates the performance of a certain type of energy storage battery, and evaluates the economic characteristics of the power station without combining the losses caused by the actual operation of the power station. Although the prior art has performed performance evaluation on energy storage power stations under a certain mode or application scenario, the evaluation results are not accurate enough because only one aspect is considered, and the actual operation of the power station cannot be accurately reflected. As the working modes and scenarios of energy storage power stations in power grids become increasingly diverse, the above methods cannot be simultaneously applied to energy storage power stations with multiple working modes or different types of energy storage batteries, and are not universal. Summary of the invention

[0003] In order to overcome the shortcomings of the above-mentioned prior art that the evaluation results are not accurate enough and are not universal, the present invention provides a method and device for evaluating the comprehensive performance of an energy storage power station, which calculates the values ​​of each evaluation index in the energy storage power station; determines the comprehensive score of the energy storage power station based on the index value and the weight of each index; and evaluates the comprehensive performance of the energy storage power station based on the comprehensive score. The energy storage power station evaluation index system is constructed in layers based on the state characteristics, operation characteristics and economic characteristics of each energy storage unit, each layer contains multiple evaluation indicators, and a calculation formula is set for the evaluation indicator. The evaluation result obtained by the present invention is accurate, and the present invention has universal applicability.

[0004] In order to achieve the above-mentioned object of the invention, the present invention adopts the following technical scheme:

[0005] In one aspect, the present invention provides a method for evaluating the comprehensive performance of an energy storage power station, comprising:

[0006] Based on the evaluation index system and the collected values ​​of each energy storage unit in the evaluated energy storage power station, the values ​​of each evaluation index in the energy storage power station are calculated according to the calculation formulas of each evaluation index in the evaluation system which are preset;

[0007] Determine a comprehensive score of the energy storage power station based on the indicator value and the weight of each indicator;

[0008] Evaluate the comprehensive performance of the energy storage power station based on the comprehensive score;

[0009] The energy storage power station evaluation index system is constructed in layers based on the state characteristics, operation characteristics and economic characteristics of each energy storage unit. Each layer contains multiple evaluation indicators, and calculation formulas are set for the evaluation indicators.

[0010] The construction of the energy storage power station evaluation index system includes:

[0011] The state characteristics, operation characteristics and economic characteristics are set as the first-level evaluation indicators, and the lower-level indicators are constructed based on the first-level indicators; and the calculation formula is set for the lower-level indicators.

[0012] The constructing the lower-layer indicators based on the first-layer indicators includes:

[0013] Based on the state characteristics, a second-layer evaluation index corresponding to the state characteristics is constructed with real-time characteristics as evaluation indicators; based on the operation characteristics, a second-layer evaluation index corresponding to the operation characteristics is constructed with normal operation loss indicators, different energy storage battery difference indicators and different working mode difference indicators as evaluation indicators; based on the economic characteristics, a second-layer evaluation index corresponding to the economic characteristics is constructed with the income, benefit and return on investment of the energy storage power station as evaluation indicators.

[0014] Based on the real-time characteristics, three layers of evaluation indicators corresponding to the real-time characteristics are constructed with the consistency, maximum power capability and maximum capacity of the energy storage unit as evaluation indicators; based on the normal operating loss indicators, three layers of evaluation indicators corresponding to the normal operating loss indicators are constructed with the consistency decay rate, power decay rate, energy decay rate, energy storage power station failure rate and efficiency as evaluation indicators; based on the difference indicators of different energy storage batteries, three layers of evaluation indicators corresponding to the difference indicators of different energy storage batteries are constructed with the charge and discharge efficiency of lead-acid and lithium batteries, the charge and discharge efficiency of all-vanadium flow batteries and the charge and discharge efficiency of sodium-sulfur batteries as evaluation indicators; based on the difference indicators of different working modes, three layers of evaluation indicators corresponding to the difference indicators of different working modes are constructed with the relative deviation standard error and the response rate as evaluation indicators; based on the benefits of the energy storage power station, three layers of evaluation indicators corresponding to the benefits of reducing network losses and reducing network capacity are constructed with the benefits of reducing network capacity as evaluation indicators.

[0015] The constructing the lower-layer indicators based on the first-layer indicators includes:

[0016] Based on the consistency of the energy storage unit, the four-layer evaluation index corresponding to the consistency of the energy storage unit is constructed with the full charge voltage consistency and the temperature consistency after the cycle as evaluation indicators; based on the maximum power capability, the four-layer evaluation index corresponding to the maximum power capability is constructed with the maximum charging power and the maximum discharging power as evaluation indicators; based on the maximum energy capability, the four-layer evaluation index corresponding to the maximum energy capability is constructed with the maximum discharge energy and the maximum charging energy as evaluation indicators; based on the consistency decay rate, the four-layer evaluation index corresponding to the consistency decay rate is constructed with the full charge voltage consistency decay rate and the temperature consistency decay rate after the cycle as evaluation indicators; based on the power decay rate, the maximum charging power decay rate and the maximum discharge power decay rate are used as evaluation indicators to construct The four layers of evaluation indicators corresponding to the power decay rate; based on the energy decay rate, the maximum charging energy decay rate and the maximum discharging energy decay rate are used as evaluation indicators to construct the four layers of evaluation indicators corresponding to the energy decay rate; based on the efficiency of the energy storage power station, the power consumption rate of the energy storage power station is used as an evaluation indicator to construct the four layers of evaluation indicators corresponding to the efficiency of the energy storage power station; based on the relative deviation standard error, the peak shaving mode deviation standard error, the new energy absorption mode deviation standard error and the peak shaving and valley filling mode deviation standard error are used as evaluation indicators to construct the four layers of evaluation indicators corresponding to the relative deviation standard error; based on the response rate, the peak shaving mode response rate, the new energy absorption mode response rate and the peak shaving and valley filling mode response rate are used as evaluation indicators to construct the four layers of evaluation indicators corresponding to the response rate.

[0017] The full charge voltage consistency is determined by the following formula: In the formula, RSD U is the full charge voltage consistency, L is the number of energy storage units in the energy storage power station, and J is the number of battery packs in the energy storage unit; V i,j is the full charge voltage of the jth battery pack in energy storage unit i, λ i is the weight of energy storage unit i, the i Determine as follows: In the formula, is the rated charging power of the energy storage station, is the rated discharge power of the energy storage power station, is the rated charging power of energy storage unit i, is the rated discharge power of energy storage unit i;

[0018] The temperature consistency after the cycle is determined by the following formula: In the formula, RSD T is the temperature consistency after cycling, T i,j is the temperature of the jth battery pack in energy storage unit i.

[0019] The full charge voltage consistency decay rate is determined by the following formula: Where ROD RSD,U is the full charge voltage consistency decay rate, RSD′ U is the nominal value of full charge voltage consistency, and t is the comprehensive performance evaluation cycle of the energy storage power station;

[0020] The temperature consistency decay rate after the cycle is determined by the following formula: Where ROD RSD,T is the temperature consistency decay rate after cycling, RSD T ′ is the nominal value of temperature consistency after cycling;

[0021] The maximum charging power decay rate is determined by the following formula: Where ROD P,chg is the maximum charging power decay rate, P chg,max is the maximum charging power of the energy storage power station;

[0022] The maximum discharge power decay rate is determined by the following formula: Where ROD P,dis is the maximum discharge power decay rate, P dis,max is the maximum discharge power of the energy storage power station;

[0023] The maximum charging energy decay rate is determined by the following formula: Where ROD E,chg is the maximum charging energy decay rate, E chg,max is the maximum charging energy of the energy storage station. is the rated charging energy of the energy storage power station;

[0024] The maximum discharge energy decay rate is determined by the following formula: Where ROD E,dis is the maximum discharge energy decay rate, E dis,max is the maximum discharge energy of the energy storage power station, is the rated discharge energy of the energy storage power station.

[0025] The lead-acid and lithium battery charging and discharging efficiency is determined by the following formula: Where η bat1 is the charge and discharge efficiency of lead-acid and lithium batteries, E bat,dis is the total discharge of the energy storage power station during the evaluation period, E bat,chg is the total charge of the energy storage station during the evaluation period;

[0026] The charge and discharge efficiency of the all-vanadium liquid flow battery is determined by the following formula: Where η bat2 is the charge and discharge efficiency of the all-vanadium liquid flow battery, W bat,dis In order to evaluate the loss of auxiliary equipment during the discharge process of the energy storage power station within the cycle, W bat,chgTo evaluate the loss of auxiliary equipment during the charging process of the energy storage power station within the cycle;

[0027] The sodium-sulfur battery charge and discharge efficiency is determined by the following formula: Where η bat3 is the charge and discharge efficiency of sodium-sulfur battery, H bat,dis To evaluate the power consumption of heating equipment during the discharge process of the energy storage power station during the cycle, H bat,chg To evaluate the amount of electricity consumed by the heating equipment during the charging process of the energy storage power station during the cycle.

[0028] The standard error of the peak shaving mode deviation is determined by the following formula: In the formula, RSD peak is the standard error of the peak-shaving mode deviation, N peak is the total number of times the energy storage power station participates in the peak load regulation mode during the evaluation period, E peak,n is the actual discharge capacity of the energy storage power station in the nth peak load regulation mode, The average actual discharge power of the energy storage power station under all peak load modes;

[0029] The standard error of the new energy absorption model deviation is determined by the following formula: In the formula, RSD vall is the standard error of the new energy absorption model, N vall E is the total number of times that energy storage power stations participate in the new energy absorption mode during the evaluation period. vall,k is the actual charging capacity of the energy storage power station under the k-th new energy absorption mode, It is the average actual charging capacity of energy storage power stations under all new energy absorption modes;

[0030] The standard error of the peak shaving and valley filling mode deviation is determined by the following formula: In the formula, RSD wave is the standard error of the peak shaving and valley filling mode, N wave is the total number of times the energy storage power station participates in the peak shaving and valley filling mode during the evaluation period, t wave,m is the actual working time of the energy storage power station in the mth peak shaving and valley filling mode, The average actual working time of energy storage power stations in all peak shaving and valley filling modes;

[0031] The peak shaving mode response rate is determined by the following formula: In the formula, θ peak is the peak-shaving mode response rate, N plan,peak is the total number of peak load shaving tasks;

[0032] The response rate of the new energy absorption mode is determined by the following formula: In the formula, θ voll is the response rate of the new energy absorption mode, N plan,vallTotal number of tasks for absorbing new energy;

[0033] The peak shaving and valley filling mode response rate is determined by the following formula: In the formula, θ wave is the peak shaving and valley filling mode response rate, N plan,wave It is the total number of peak shaving and valley filling tasks.

[0034] The benefit of reducing network loss is determined by the following formula: B loss =ΔP loss,chg ∑t L V low +ΔP loss,dis ∑t H V high Where B loss To reduce the network loss, t H is the discharge time of the energy storage power station during the peak power consumption period, t L is the charging time of the energy storage power station during the low power consumption phase, V high is the electricity price during the peak period, V low is the electricity price during the low-consumption phase, ΔP loss,chg The grid loss reduced when charging the energy storage station, ΔP loss,dis Reduce grid losses when the energy storage power station discharges;

[0035] The benefit of reducing network capacity is determined by the following formula: cap =C cus ×max{P plan}; In the formula, B cap To reduce the network capacity, C cus is the unit cost of the regional distribution system, P plan It is the maximum planned dispatching load of the dispatching system.

[0036] Determining the comprehensive score of the energy storage power station based on the indicator value and each indicator weight includes: determining the comprehensive score of the energy storage power station according to the following formula: Where S is the comprehensive score of the energy storage power station; k h is the weight of the hth evaluation index, which is determined by the hierarchical analysis method; F h is the score of the hth evaluation indicator. h Determine as follows:

[0037] 1) When the evaluation indicators are full charge voltage consistency, temperature consistency after cycle, full charge voltage consistency decay rate, temperature consistency decay rate after cycle, maximum charge power decay rate, maximum discharge power decay rate, maximum charge energy decay rate, maximum discharge energy decay rate, energy storage power station failure rate, energy storage power station power consumption rate, peak load mode deviation from standard error, new energy absorption mode deviation from standard error or peak load filling mode deviation from standard error, F h =100-x, x is the index value of the evaluation index;

[0038] 2) When the evaluation indicators are maximum charging power, maximum discharging power, maximum charging energy, maximum discharging energy, lead-acid and lithium battery charging and discharging efficiency, all-vanadium liquid flow battery charging and discharging efficiency, sodium-sulfur battery charging and discharging efficiency, peak-shaving mode response rate, new energy absorption mode response rate or peak-shaving and valley-filling mode response rate, F h = x;

[0039] 3) When the evaluation indicator is the revenue of the energy storage power station,

[0040] 4) When the evaluation indicator is the benefit of the energy storage power station, Where B is the benefit of the energy storage power station, and B = B loss +B cap ;

[0041] 5) When the evaluation indicator is the return on investment of the energy storage power station,

[0042] The comprehensive performance of the energy storage power station is evaluated based on the comprehensive score, including:

[0043] When S≥f1, the comprehensive performance of the energy storage power station is excellent; when f2≤S<f1, the comprehensive performance of the energy storage power station is good; when f3≤S<f2, the comprehensive performance of the energy storage power station is medium; when S<f3, the comprehensive performance of the energy storage power station is poor; wherein f1, f2, and f3 are comprehensive score thresholds, and f1>f2>f3.

[0044] On the other hand, the present invention also provides a comprehensive performance evaluation device for an energy storage power station, comprising:

[0045] An indicator value determination module is used to calculate the evaluation indicator values ​​of the energy storage power station according to the evaluation indicator calculation formulas preset in the evaluation system based on the evaluation indicator system and the collected values ​​of the energy storage units in the energy storage power station to be evaluated;

[0046] A comprehensive score determination module, used to determine the comprehensive score of the energy storage power station based on the indicator value and the weight of each indicator;

[0047] An evaluation module, used to evaluate the comprehensive performance of the energy storage power station based on the comprehensive score;

[0048] The energy storage power station evaluation index system is constructed in layers based on the state characteristics, operation characteristics and economic characteristics of each energy storage unit. Each layer contains multiple evaluation indicators, and calculation formulas are set for the evaluation indicators.

[0049] Compared with the closest prior art, the technical solution provided by the present invention has the following beneficial effects:

[0050] In the comprehensive performance evaluation method of the energy storage power station provided by the present invention, based on the evaluation index system and the collected values ​​of each energy storage unit in the evaluated energy storage power station, the evaluation index values ​​in the energy storage power station are calculated according to the pre-set calculation formulas of each evaluation index in the evaluation system; the comprehensive score of the energy storage power station is determined based on the index values ​​and the weights of each index; the comprehensive performance of the energy storage power station is evaluated based on the comprehensive score; the evaluation index system of the energy storage power station is constructed in layers based on the state characteristics, operation characteristics and economic characteristics of each energy storage unit, each layer contains multiple evaluation indicators, and calculation formulas are set for the evaluation indicators. The present invention comprehensively considers the state characteristics, operation characteristics and economic characteristics of the energy storage power station, can reliably reflect the actual operation of the power station, and can be used for energy storage power stations with various types of energy storage batteries, and the evaluation results obtained are accurate;

[0051] The energy storage power station comprehensive performance evaluation device provided by the present invention comprises an index value determination module, a comprehensive score determination module and an evaluation module, wherein the index value determination module is used to calculate the evaluation index values ​​of the energy storage power station according to the evaluation index calculation formulas preset in the evaluation system based on the evaluation index system and the collected values ​​of the energy storage units in the evaluated energy storage power station;

[0052] A comprehensive score determination module is used to determine the comprehensive score of the energy storage power station based on the index value and the weight of each index; an evaluation module is used to evaluate the comprehensive performance of the energy storage power station based on the comprehensive score; the energy storage power station evaluation index system is constructed in layers based on the state characteristics, operation characteristics and economic characteristics of each energy storage unit, each layer contains multiple evaluation indicators, and a calculation formula is set for the evaluation indicator; the evaluation result obtained is accurate, and the present invention has universal applicability;

[0053] The present invention combines the problems of loss and other issues caused by the actual operation of the energy storage power station, comprehensively considers the state characteristics, operation characteristics and economic characteristics of the energy storage power station, can reliably reflect the actual operation of the power station, and can be used for energy storage power stations with multiple working modes or different types of energy storage batteries;

[0054] The technical solution provided by the present invention realizes the evaluation of the comprehensive performance of energy storage power stations and has universal applicability; it can ensure the safe and efficient operation of energy storage power stations, and improve the safety stability and power quality level of large power grids, improve the power transmission and transformation capacity, increase power supply reliability, and promote large-scale access of renewable energy to the power grid. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] Figure 1 is a flow chart of a comprehensive performance evaluation method for an energy storage power station in an embodiment of the present invention;

[0056] Figure 2 It is a structural diagram of the energy storage power station evaluation index system in an embodiment of the present invention. DETAILED DESCRIPTION

[0057] The present invention will be further described in detail below in conjunction with the accompanying drawings.

[0058] Example 1

[0059] Embodiment 1 of the present invention provides a method for evaluating the comprehensive performance of an energy storage power station. The specific flow chart is as follows: Figure 1 As shown, the specific process is as follows:

[0060] S101: Based on the evaluation index system and the collected values ​​of each energy storage unit in the evaluated energy storage power station, the values ​​of each evaluation index in the energy storage power station are calculated according to the calculation formulas of each evaluation index in the pre-set evaluation system;

[0061] S102: Determine a comprehensive score of the energy storage power station based on the indicator value and the weight of each indicator;

[0062] S103: Evaluate the comprehensive performance of the energy storage power station based on the comprehensive score;

[0063] Considering the overall state energy efficiency of the power station, it is necessary to evaluate the working capacity of the power station in terms of the real-time capacity and the cumulative working conditions of the power station, and each of these aspects will cover multiple sub-assessment angles including the charging and discharging capacity of the power station and the actual working time. Secondly, for the evaluation of the comprehensive performance of the energy storage power station, it is necessary not only to consider the current state of the power station, but also to analyze and consider its phased operating capacity within an assessment cycle. The evaluation scope includes general indicators composed of performance attenuation rate, system failure rate and efficiency, as well as battery difference indicators determined by the characteristics of different types of batteries. Unlike lead-acid batteries and lithium-ion batteries, when calculating the charging and discharging efficiency, due to the operating characteristics of all-vanadium liquid flow batteries and sodium-sulfur batteries, it is necessary to consider the energy loss caused by mechanical pumps and heating devices. Thirdly, the mode difference indicators determined by different working modes should also be included in the evaluation. For the common working modes of energy storage power stations: peak shaving and valley filling, peak load regulation, and new energy consumption, the three modes have different requirements for energy storage power stations. The peak shaving and valley filling mode focuses on the actual working time of the energy storage power station, the new energy consumption mode focuses on the actual charging power accepted by the energy storage power station, and the peak load regulation mode focuses on the actual discharge power of the energy storage power station. In order to measure the working conditions of different modes, two indicators, relative deviation from standard error and response rate, are proposed to evaluate the task completion of different working modes. The relative deviation from standard error indicator can reflect the response completion of various working modes to the task volume of a single scheduling task. The response rate can better reflect the response of the energy storage power station to the scheduling task within the evaluation period. In addition, the economic indicators of power station operation are also an important evaluation aspect, including the return on investment of the power station and the economic and social benefits brought by the power station, which will also be included in the energy storage power station evaluation indicator system.

[0064] The construction of the energy storage power station evaluation index system includes:

[0065] The state characteristics, operation characteristics and economic characteristics are set as the first-level evaluation indicators, and the lower-level indicators are constructed based on the first-level indicators; and the calculation formula is set for the lower-level indicators.

[0066] Energy storage power station evaluation index system Figure 2 As shown in the figure, the lower-level indicators are constructed based on the first-level indicators, including:

[0067] Based on the state characteristics, the second-layer evaluation indicators corresponding to the state characteristics are constructed with real-time characteristics as evaluation indicators;

[0068] Based on the operation characteristics, the normal operation loss index, the difference index of different energy storage batteries and the difference index of different working modes are used as evaluation indicators to construct the second-level evaluation indicators corresponding to the operation characteristics;

[0069] Based on the economic characteristics, the income, benefit and return on investment of the energy storage power station are used as evaluation indicators to construct the second-level evaluation indicators corresponding to the economic characteristics.

[0070] Based on the real-time characteristics, a three-layer evaluation index corresponding to the real-time characteristics is constructed with the consistency, maximum power capability and maximum capacity of the energy storage unit as evaluation indicators;

[0071] Based on the normal operating loss index, a three-layer evaluation index corresponding to the normal operating loss index is constructed with consistency attenuation rate, power attenuation rate, energy attenuation rate, energy storage power station failure rate and efficiency as evaluation indicators;

[0072] Based on the difference indicators of different energy storage batteries, the three-layer evaluation indicators corresponding to the difference indicators of different energy storage batteries are constructed with the charge and discharge efficiency of lead-acid and lithium batteries, the charge and discharge efficiency of all-vanadium flow batteries and the charge and discharge efficiency of sodium-sulfur batteries as evaluation indicators;

[0073] Based on the different working mode difference indicators, three-level evaluation indicators corresponding to different working mode difference indicators are constructed with relative deviation standard error and response rate as evaluation indicators;

[0074] Based on the benefits of energy storage power stations, a three-level evaluation index corresponding to the benefits of energy storage power stations is constructed with the benefits of reducing network losses and reducing network capacity as evaluation indicators.

[0075] Based on the consistency of energy storage units, four levels of evaluation indicators corresponding to the consistency of energy storage units are constructed with full charge voltage consistency and temperature consistency after cycling as evaluation indicators;

[0076] Based on the maximum power capability, the four-layer evaluation index corresponding to the maximum power capability is constructed with the maximum charging power and the maximum discharging power as evaluation indicators;

[0077] Based on the maximum energy capability, a four-layer evaluation index corresponding to the maximum energy capability is constructed with the maximum discharge energy and the maximum charge energy as evaluation indicators;

[0078] Based on the consistency decay rate, a four-layer evaluation index corresponding to the consistency decay rate is constructed with the full charge voltage consistency decay rate and the temperature consistency decay rate after cycling as evaluation indicators;

[0079] Based on the power decay rate, a four-layer evaluation index corresponding to the power decay rate is constructed with the maximum charging power decay rate and the maximum discharging power decay rate as evaluation indicators;

[0080] Based on the energy decay rate, a four-layer evaluation index corresponding to the energy decay rate is constructed with the maximum charging energy decay rate and the maximum discharging energy decay rate as evaluation indicators;

[0081] Based on the efficiency of the energy storage power station, the four-layer evaluation index corresponding to the efficiency of the energy storage power station is constructed with the power consumption rate of the energy storage power station as the evaluation index;

[0082] Based on the relative deviation from the standard error, four levels of evaluation indicators corresponding to the relative deviation from the standard error are constructed, taking the peak-shaving mode deviation from the standard error, the new energy absorption mode deviation from the standard error and the peak-shaving and valley-filling mode deviation from the standard error as evaluation indicators;

[0083] Based on the response rate, four layers of evaluation indicators corresponding to the response rate are constructed with the peak-shaving mode response rate, the new energy absorption mode response rate and the peak-shaving and valley-filling mode response rate as evaluation indicators.

[0084] The specific process of determining the evaluation indicators in the above evaluation indicator system is as follows:

[0085] The full charge voltage consistency is determined by the following formula: In the formula, RSD U is the full charge voltage consistency, L is the number of energy storage units in the energy storage power station, and J is the number of battery packs in the energy storage unit; V i,j is the full charge voltage of the jth battery pack in energy storage unit i, λ i is the weight of energy storage unit i, λ i Determine as follows: In the formula, is the rated charging power of the energy storage station, Rated discharge power of energy storage power station, is the rated charging power of energy storage unit i, is the rated discharge power of energy storage unit i;

[0086] The temperature consistency after cycling is determined by the following formula: In the formula, RSD T is the temperature consistency after cycling, T i,j is the temperature of the jth battery pack in energy storage unit i;

[0087] The maximum charging power, the maximum discharging power, the maximum discharging energy, and the maximum charging energy are obtained through a battery management system or a monitoring system of the power station in the energy storage power station.

[0088] The full charge voltage consistency decay rate is determined by the following formula: Where ROD RSD,U is the full charge voltage consistency decay rate, RSD′ U is the nominal value of full charge voltage consistency, and t is the comprehensive performance evaluation cycle of the energy storage power station;

[0089] The temperature consistency decay rate after cycling is determined by the following formula: Where ROD RSD,T is the temperature consistency decay rate after cycling, RSDT ′ is the nominal value of temperature consistency after cycling;

[0090] The maximum charging power decay rate is determined by the following formula: Where ROD P,chg is the maximum charging power decay rate, P chg,max is the maximum charging power of the energy storage power station;

[0091] The maximum discharge power decay rate is determined by the following formula: Where ROD P,dis is the maximum discharge power decay rate, P dis,max is the maximum discharge power of the energy storage power station;

[0092] The maximum charging energy decay rate is determined by the following formula: Where ROD E,chg is the maximum charging energy decay rate, E chg,max is the maximum charging energy of the energy storage station. is the rated charging energy of the energy storage power station;

[0093] The maximum discharge energy decay rate is determined by the following formula: Where ROD E,dis is the maximum discharge energy decay rate, E dis,max is the maximum discharge energy of the energy storage power station, is the rated discharge energy of the energy storage power station;

[0094] The failure rate of the energy storage power station is determined by the following formula: In the formula, θ err is the failure rate of the energy storage power station, N err is the number of failures of the energy storage power station during the evaluation period, and N is the actual number of working times of the energy storage power station during the evaluation period;

[0095] The power consumption rate of the energy storage power station is determined by the following formula: Where η stt is the electricity consumption rate of the energy storage power station, E stt To evaluate the power consumption of the energy storage power station during the period, E off It is the amount of electricity that can be disconnected from the grid by the energy storage power station during the evaluation period.

[0096] The charge and discharge efficiency of lead-acid and lithium batteries is determined by the following formula: Where η bat1 is the charge and discharge efficiency of lead-acid and lithium batteries, E bat,dis is the total discharge of the energy storage power station during the evaluation period, E bat,chg is the total charge of the energy storage station during the evaluation period;

[0097] The charging and discharging efficiency of all-vanadium liquid flow battery is determined by the following formula: Where ηbat2 is the charge and discharge efficiency of the all-vanadium liquid flow battery, W bat,dis In order to evaluate the loss of auxiliary equipment during the discharge process of the energy storage power station within the cycle, W bat,chg To evaluate the loss of auxiliary equipment during the charging process of the energy storage power station within the cycle;

[0098] The charge and discharge efficiency of sodium-sulfur batteries is determined by the following formula: Where η bat3 is the charge and discharge efficiency of sodium-sulfur battery, H bat,dis To evaluate the power consumption of heating equipment during the discharge process of the energy storage power station during the cycle, H bat,chg To evaluate the amount of electricity consumed by the heating equipment during the charging process of the energy storage power station during the cycle.

[0099] The standard error of the peak shaving mode deviation is determined by the following formula: In the formula, RSD peak is the standard error of the peak-shaving mode deviation, N peak is the total number of times the energy storage power station participates in the peak load regulation mode during the evaluation period, E peak,n is the actual discharge capacity of the energy storage power station in the nth peak load regulation mode, The average actual discharge power of the energy storage power station under all peak load modes;

[0100] The standard error of the new energy absorption model deviation is determined by the following formula: In the formula, RSD vall is the standard error of the new energy absorption model, N vall E is the total number of times that energy storage power stations participate in the new energy absorption mode during the evaluation period. vall,k is the actual charging capacity of the energy storage power station under the k-th new energy absorption mode, It is the average actual charging capacity of energy storage power stations under all new energy absorption modes;

[0101] The standard error of the peak shaving and valley filling mode deviation is determined by the following formula: In the formula, RSD wave is the standard error of the peak shaving and valley filling mode, N wave is the total number of times the energy storage power station participates in the peak shaving and valley filling mode during the evaluation period, t wave,m is the actual working time of the energy storage power station in the mth peak shaving and valley filling mode, The average actual working time of energy storage power stations in all peak shaving and valley filling modes;

[0102] The peak-shaving mode response rate is determined by the following formula: In the formula, θ peak is the peak-shaving mode response rate, N plan,peak is the total number of peak load shaving tasks;

[0103] The response rate of the new energy absorption mode is determined by the following formula: In the formula, θ voll is the response rate of the new energy absorption mode, N plan,vall Total number of tasks for absorbing new energy;

[0104] The response rate of the peak shaving and valley filling mode is determined by the following formula: In the formula, θ wave is the peak shaving and valley filling mode response rate, N plan,wave It is the total number of peak shaving and valley filling tasks.

[0105] The income of the energy storage power station is determined by the following formula: In the formula, R opr Revenue of energy storage power station, t H is the discharge time of the energy storage power station during the peak power consumption period, t L is the charging time of the energy storage power station during the low power consumption phase, V high is the electricity price during the peak period, V low The electricity price during the low-consumption period;

[0106] The benefit of reducing network loss is determined by the following formula: B loss =ΔP loss,chg ∑t L V low +ΔP loss,dis ∑t H V high Where B loss To reduce the network loss, ΔP loss,chg The grid loss reduced when charging the energy storage station, ΔP loss,dis Reduce grid losses when the energy storage power station discharges;

[0107] The benefit of reducing network capacity is determined by the following formula: B cap =C cus ×max{P plan}; In the formula, B cap To reduce the network capacity, C cus is the unit cost of the regional distribution system, P plan It is the maximum value of the planned dispatching load of the dispatching system;

[0108] The return on investment is determined by the following formula: In the formula, ROI is the return on investment of the energy storage power station, C lab is labor cost, C E is the energy cost of the energy storage power station, C P is the power cost of the energy storage power station, C aux is the cost of the supporting power equipment in the energy storage power station, C fix is the operation and maintenance cost of the energy storage power station; C E , C P , Caux , C fix Determine as follows: In the formula, K E is the unit capacity cost of the energy storage power station, is the total storage capacity of the energy storage power station, η is the comprehensive efficiency of the energy storage power station, K P is the unit power cost of the energy storage power station, K aux is the unit energy cost of the supporting power equipment in the energy storage power station, K i It is the unit power operation and maintenance cost of the energy storage power station.

[0109] In the above S102, the comprehensive score of the energy storage power station is determined based on the index value and the index weight. Specifically, the comprehensive score of the energy storage power station is determined according to the following formula: Where S is the comprehensive score of the energy storage power station; k h is the weight of the hth evaluation index, which is determined by the hierarchical analysis method; F h is the score of the hth evaluation indicator, F h Determine as follows:

[0110] 1) When the evaluation indicators are full charge voltage consistency, temperature consistency after cycle, full charge voltage consistency decay rate, temperature consistency decay rate after cycle, maximum charge power decay rate, maximum discharge power decay rate, maximum charge energy decay rate, maximum discharge energy decay rate, energy storage power station failure rate, energy storage power station power consumption rate, peak load mode deviation from standard error, new energy absorption mode deviation from standard error or peak load filling mode deviation from standard error, F h =100-x, x is the index value of the evaluation index;

[0111] 2) When the evaluation indicators are maximum charging power, maximum discharging power, maximum charging energy, maximum discharging energy, lead-acid and lithium battery charging and discharging efficiency, all-vanadium liquid flow battery charging and discharging efficiency, sodium-sulfur battery charging and discharging efficiency, peak-shaving mode response rate, new energy absorption mode response rate or peak-shaving and valley-filling mode response rate, F h = x;

[0112] 3) When the evaluation indicator is the revenue of the energy storage power station,

[0113] 4) When the evaluation indicator is the benefit of the energy storage power station, Where B is the benefit of the energy storage power station, and B = B loss +B cap ;

[0114] 5) When the evaluation indicator is the return on investment of the energy storage power station,

[0115] In the above S103, the comprehensive performance of the energy storage power station is evaluated based on the comprehensive score, and the specific process is as follows:

[0116] When S ≥ f1, the comprehensive performance of the energy storage power station is excellent;

[0117] When f2≤S<f1, the overall performance of the energy storage power station is good;

[0118] When f3≤S<f2, the comprehensive performance of the energy storage power station is medium;

[0119] When S<f3, the overall performance of the energy storage power station is poor;

[0120] Among them, f1, f2, and f3 are comprehensive score thresholds, and f1>f2>f3.

[0121] Example 2

[0122] Based on the same inventive concept, Embodiment 2 of the present invention further provides a comprehensive performance evaluation device for an energy storage power station, including an index value determination module, a comprehensive score determination module and an evaluation module. The functions of the above modules are described in detail below:

[0123] An indicator value determination module is used to calculate the values ​​of each evaluation indicator in the energy storage power station according to the preset calculation formulas of each evaluation indicator in the evaluation system based on the evaluation indicator system and the collected values ​​of each energy storage unit in the energy storage power station to be evaluated;

[0124] A comprehensive score determination module, used to determine the comprehensive score of the energy storage power station based on the indicator value and the weight of each indicator;

[0125] An evaluation module, used to evaluate the comprehensive performance of the energy storage power station based on the comprehensive score;

[0126] The energy storage power station evaluation index system is constructed in layers based on the state characteristics, operating characteristics and economic characteristics of each energy storage unit. Each layer contains multiple evaluation indicators and sets calculation formulas for the evaluation indicators.

[0127] The device provided in Embodiment 2 of the present invention further includes a building module, and the building module includes:

[0128] A construction unit, used for setting state characteristics, operation characteristics and economic characteristics as first-level evaluation indicators, and constructing lower-level indicators based on the first-level indicators;

[0129] Determination unit, used to set calculation formula for lower-level indicators.

[0130] The building blocks are specifically used for:

[0131] Based on the state characteristics, the second-layer evaluation indicators corresponding to the state characteristics are constructed with real-time characteristics as evaluation indicators;

[0132] Based on the operation characteristics, the normal operation loss index, the difference index of different energy storage batteries and the difference index of different working modes are used as evaluation indicators to construct the second-level evaluation indicators corresponding to the operation characteristics;

[0133] Based on the economic characteristics, the income, benefit and return on investment of the energy storage power station are used as evaluation indicators to construct the second-level evaluation indicators corresponding to the economic characteristics.

[0134] The building blocks are specifically used for:

[0135] Based on the real-time characteristics, a three-layer evaluation index corresponding to the real-time characteristics is constructed with the consistency, maximum power capability and maximum capacity of the energy storage unit as evaluation indicators;

[0136] Based on the normal operating loss index, a three-layer evaluation index corresponding to the normal operating loss index is constructed with consistency attenuation rate, power attenuation rate, energy attenuation rate, energy storage power station failure rate and efficiency as evaluation indicators;

[0137] Based on the difference indicators of different energy storage batteries, the three-layer evaluation indicators corresponding to the difference indicators of different energy storage batteries are constructed with the charge and discharge efficiency of lead-acid and lithium batteries, the charge and discharge efficiency of all-vanadium flow batteries and the charge and discharge efficiency of sodium-sulfur batteries as evaluation indicators;

[0138] Based on the different working mode difference indicators, three-level evaluation indicators corresponding to different working mode difference indicators are constructed with relative deviation standard error and response rate as evaluation indicators;

[0139] Based on the benefits of energy storage power stations, a three-level evaluation index corresponding to the benefits of energy storage power stations is constructed with the benefits of reducing network losses and reducing network capacity as evaluation indicators.

[0140] The building blocks are specifically used for:

[0141] Based on the consistency of energy storage units, four levels of evaluation indicators corresponding to the consistency of energy storage units are constructed with full charge voltage consistency and temperature consistency after cycling as evaluation indicators;

[0142] Based on the maximum power capability, the four-layer evaluation index corresponding to the maximum power capability is constructed with the maximum charging power and the maximum discharging power as evaluation indicators;

[0143] Based on the maximum energy capability, a four-layer evaluation index corresponding to the maximum energy capability is constructed with the maximum discharge energy and the maximum charge energy as evaluation indicators;

[0144] Based on the consistency decay rate, a four-layer evaluation index corresponding to the consistency decay rate is constructed with the full charge voltage consistency decay rate and the temperature consistency decay rate after cycling as evaluation indicators;

[0145] Based on the power decay rate, a four-layer evaluation index corresponding to the power decay rate is constructed with the maximum charging power decay rate and the maximum discharging power decay rate as evaluation indicators;

[0146] Based on the energy decay rate, a four-layer evaluation index corresponding to the energy decay rate is constructed with the maximum charging energy decay rate and the maximum discharging energy decay rate as evaluation indicators;

[0147] Based on the efficiency of the energy storage power station, the four-layer evaluation index corresponding to the efficiency of the energy storage power station is constructed with the power consumption rate of the energy storage power station as the evaluation index;

[0148] Based on the relative deviation from the standard error, four levels of evaluation indicators corresponding to the relative deviation from the standard error are constructed, taking the peak-shaving mode deviation from the standard error, the new energy absorption mode deviation from the standard error and the peak-shaving and valley-filling mode deviation from the standard error as evaluation indicators;

[0149] Based on the response rate, four layers of evaluation indicators corresponding to the response rate are constructed with the peak-shaving mode response rate, the new energy absorption mode response rate and the peak-shaving and valley-filling mode response rate as evaluation indicators.

[0150] The specific process of calculating the index value of the evaluation index by the above index value determination module is as follows:

[0151] Determine the full charge voltage consistency as follows: In the formula, RSD U is the full charge voltage consistency, L is the number of energy storage units in the energy storage power station, and J is the number of battery packs in the energy storage unit; V i,j is the full charge voltage of the jth battery pack in energy storage unit i, λ i is the weight of energy storage unit i, λ i Determine as follows: In the formula, is the rated charging power of the energy storage station, is the rated discharge power of the energy storage power station, is the rated charging power of energy storage unit i, is the rated discharge power of energy storage unit i;

[0152] Determine the temperature consistency after cycling as follows: In the formula, RSD T is the temperature consistency after cycling, T i,j is the temperature of the jth battery pack in energy storage unit i;

[0153] The maximum charging power, maximum discharging power, maximum discharging energy and maximum charging energy are obtained through the battery management system or monitoring system of the power station in the energy storage power station.

[0154] Determine the full charge voltage consistency decay rate as follows: Where RODRSD,U is the full charge voltage consistency decay rate, RSD′ U is the nominal value of full charge voltage consistency, and t is the comprehensive performance evaluation cycle of the energy storage power station;

[0155] Determine the temperature consistency decay rate after cycling as follows: Where ROD RSD,T is the temperature consistency decay rate after cycling, RSD T ′ is the nominal value of temperature consistency after cycling;

[0156] The maximum charging power decay rate is determined by the following formula: Where ROD P,chg is the maximum charging power decay rate, P chg,max is the maximum charging power of the energy storage power station;

[0157] The maximum discharge power decay rate is determined by the following formula: Where ROD P,dis is the maximum discharge power decay rate, P dis,max is the maximum discharge power of the energy storage power station;

[0158] The maximum charging energy decay rate is determined by the following formula: Where ROD E,chg is the maximum charging energy decay rate, E chg,max is the maximum charging energy of the energy storage station. is the rated charging energy of the energy storage power station;

[0159] The maximum discharge energy decay rate is determined by the following formula: Where ROD E,dis is the maximum discharge energy decay rate, E dis,max is the maximum discharge energy of the energy storage power station, is the rated discharge energy of the energy storage power station;

[0160] Determine the failure rate of the energy storage power station according to the following formula: In the formula, θ err is the failure rate of the energy storage power station, N err is the number of failures of the energy storage power station during the evaluation period, and N is the actual number of working times of the energy storage power station during the evaluation period;

[0161] Determine the power consumption rate of the energy storage power station according to the following formula: Where η stt is the electricity consumption rate of the energy storage power station, E stt To evaluate the power consumption of the energy storage power station during the period, E off It is the amount of electricity that can be disconnected from the grid by the energy storage power station during the evaluation period.

[0162] Determine the charge and discharge efficiency of lead-acid and lithium batteries according to the following formula: Where η bat1 is the charge and discharge efficiency of lead-acid and lithium batteries, E bat,dis is the total discharge of the energy storage power station during the evaluation period, E bat,chg is the total charge of the energy storage station during the evaluation period;

[0163] Determine the charging and discharging efficiency of the all-vanadium liquid flow battery according to the following formula: Where η bat2 is the charge and discharge efficiency of the all-vanadium liquid flow battery, W bat,dis In order to evaluate the loss of auxiliary equipment during the discharge process of the energy storage power station within the cycle, W bat,chg To evaluate the loss of auxiliary equipment during the charging process of the energy storage power station within the cycle;

[0164] Determine the charge and discharge efficiency of sodium-sulfur batteries according to the following formula: Where η bat3 is the charge and discharge efficiency of sodium-sulfur battery, H bat,dis To evaluate the power consumption of heating equipment during the discharge process of the energy storage power station during the cycle, H bat,chg To evaluate the amount of electricity consumed by the heating equipment during the charging process of the energy storage power station during the cycle.

[0165] Determine the standard error of the peak-shaving mode deviation as follows: In the formula, RSD peak is the standard error of the peak-shaving mode deviation, N peak is the total number of times the energy storage power station participates in the peak load regulation mode during the evaluation period, E peak,n is the actual discharge capacity of the energy storage power station in the nth peak load regulation mode, The average actual discharge power of the energy storage power station under all peak load modes;

[0166] Determine the standard error of the new energy absorption model deviation as follows: In the formula, RSD vall is the standard error of the new energy absorption model, N vall E is the total number of times that energy storage power stations participate in the new energy absorption mode during the evaluation period. vall,k is the actual charging capacity of the energy storage power station under the k-th new energy absorption mode, It is the average actual charging capacity of energy storage power stations under all new energy absorption modes;

[0167] Determine the standard error of the peak shaving and valley filling mode deviation as follows: In the formula, RSD wave is the standard error of the peak shaving and valley filling mode, N wave is the total number of times the energy storage power station participates in the peak shaving and valley filling mode during the evaluation period, t wave,mis the actual working time of the energy storage power station in the mth peak shaving and valley filling mode, The average actual working time of energy storage power stations in all peak shaving and valley filling modes;

[0168] The peak-shaving mode response rate is determined as follows: In the formula, θ peak is the peak-shaving mode response rate, N plan,peak is the total number of peak load shaving tasks;

[0169] The response rate of the new energy absorption mode is determined by the following formula: In the formula, θ voll is the response rate of the new energy absorption mode, N plan,vall Total number of tasks for absorbing new energy;

[0170] The peak shaving and valley filling mode response rate is determined by the following formula: In the formula, θ wave is the peak shaving and valley filling mode response rate, N plan,wave It is the total number of peak shaving and valley filling tasks.

[0171] The income of the energy storage power station is determined as follows: In the formula, R opr Revenue of energy storage power station, t H is the discharge time of the energy storage power station during the peak power consumption period, t L is the charging time of the energy storage power station during the low power consumption phase, V high is the electricity price during the peak period, V low The electricity price during the low-consumption period;

[0172] The benefit of reducing network loss is determined by the following formula: B loss =ΔP loss,chg ∑t L V low +ΔP loss,dis ∑t H V high Where B loss To reduce the network loss, ΔP loss,chg The grid loss reduced when charging the energy storage station, ΔP loss,dis Reduce grid losses when the energy storage power station discharges;

[0173] The benefit of reducing network capacity is determined by the following formula: B cap =C cus ×max{P plan}; In the formula, B cap To reduce the network capacity, C cus is the unit cost of the regional distribution system, P plan It is the maximum value of the planned dispatching load of the dispatching system;

[0174] Determine the return on investment as follows: In the formula, ROI is the return on investment of the energy storage power station, C lab is labor cost, C E is the energy cost of the energy storage power station, C P is the power cost of the energy storage power station, C aux is the cost of the supporting power equipment in the energy storage power station, C fix is the operation and maintenance cost of the energy storage power station; C E , C P , C aux , C fix Determine as follows: In the formula, K E is the unit capacity cost of the energy storage power station, is the total storage capacity of the energy storage power station, η is the comprehensive efficiency of the energy storage power station, K P is the unit power cost of the energy storage power station, K aux is the unit energy cost of the supporting power equipment in the energy storage power station, K i It is the unit power operation and maintenance cost of the energy storage power station.

[0175] The above comprehensive score determination module determines the comprehensive score of the energy storage power station according to the following formula: Where S is the comprehensive score of the energy storage power station; k h is the weight of the hth evaluation index, which is determined by the hierarchical analysis method; F h is the score of the hth evaluation indicator; F h Determine as follows:

[0176] 1) When the evaluation indicators are full charge voltage consistency, temperature consistency after cycle, full charge voltage consistency decay rate, temperature consistency decay rate after cycle, maximum charge power decay rate, maximum discharge power decay rate, maximum charge energy decay rate, maximum discharge energy decay rate, energy storage power station failure rate, energy storage power station power consumption rate, peak load mode deviation from standard error, new energy absorption mode deviation from standard error or peak load filling mode deviation from standard error, F h =100-x, x is the index value of the evaluation index;

[0177] 2) When the evaluation indicators are maximum charging power, maximum discharging power, maximum charging energy, maximum discharging energy, lead-acid and lithium battery charging and discharging efficiency, all-vanadium liquid flow battery charging and discharging efficiency, sodium-sulfur battery charging and discharging efficiency, peak-shaving mode response rate, new energy absorption mode response rate or peak-shaving and valley-filling mode response rate, F h = x;

[0178] 3) When the evaluation indicator is the revenue of the energy storage power station,

[0179] 4) When the evaluation indicator is the benefit of the energy storage power station, Where B is the benefit of the energy storage power station, and B = B loss +B cap ;

[0180] 5) When the evaluation indicator is the return on investment of the energy storage power station,

[0181] The above evaluation module specifically evaluates the comprehensive performance of the energy storage power station according to the following process:

[0182] When S ≥ f1, the comprehensive performance of the energy storage power station is excellent;

[0183] When f2≤S<f1, the overall performance of the energy storage power station is good;

[0184] When f3≤S<f2, the comprehensive performance of the energy storage power station is medium;

[0185] When S<f3, the overall performance of the energy storage power station is poor;

[0186] Among them, f1, f2, and f3 are comprehensive score thresholds, and f1>f2>f3.

[0187] Example 3

[0188] Embodiment 3 of the present invention takes a lithium iron phosphate battery energy storage power station as an example to specifically illustrate the comprehensive new energy evaluation method of an energy storage power station.

[0189] S301: Based on the evaluation index system and the collected values ​​of each energy storage unit in the evaluated energy storage power station, the values ​​of each evaluation index in the energy storage power station are calculated according to the calculation formulas of each evaluation index in the pre-set evaluation system;

[0190] S302: Determine a comprehensive score of the energy storage power station based on the indicator value and each indicator weight;

[0191] S303: Evaluate the comprehensive performance of the energy storage power station based on the comprehensive score;

[0192] The construction of the energy storage power station evaluation index system includes:

[0193] Set state characteristics, operation characteristics and economic characteristics as the first-level evaluation indicators, and construct lower-level indicators based on the first-level indicators;

[0194] Set calculation formula for lower level indicators.

[0195] Energy storage power station evaluation index system Figure 2 As shown in the figure, the lower-level indicators are constructed based on the first-level indicators, including:

[0196] Based on the state characteristics, the second-layer evaluation indicators corresponding to the state characteristics are constructed with real-time characteristics as evaluation indicators;

[0197] Based on the operation characteristics, the normal operation loss index, the difference index of different energy storage batteries and the difference index of different working modes are used as evaluation indicators to construct the second-level evaluation indicators corresponding to the operation characteristics;

[0198] Based on the economic characteristics, the income, benefit and return on investment of the energy storage power station are used as evaluation indicators to construct the second-level evaluation indicators corresponding to the economic characteristics.

[0199] The lower-level indicators are constructed based on the first-level indicators, including:

[0200] Based on the real-time characteristics, a three-layer evaluation index corresponding to the real-time characteristics is constructed with the consistency, maximum power capability and maximum capacity of the energy storage unit as evaluation indicators;

[0201] Based on the normal operating loss index, a three-layer evaluation index corresponding to the normal operating loss index is constructed with consistency attenuation rate, power attenuation rate, energy attenuation rate, energy storage power station failure rate and efficiency as evaluation indicators;

[0202] Based on the difference indicators of different energy storage batteries, the three-layer evaluation indicators corresponding to the difference indicators of different energy storage batteries are constructed with the charge and discharge efficiency of lead-acid and lithium batteries, the charge and discharge efficiency of all-vanadium flow batteries and the charge and discharge efficiency of sodium-sulfur batteries as evaluation indicators;

[0203] Based on the different working mode difference indicators, three-level evaluation indicators corresponding to different working mode difference indicators are constructed with relative deviation standard error and response rate as evaluation indicators;

[0204] Based on the benefits of energy storage power stations, a three-level evaluation index corresponding to the benefits of energy storage power stations is constructed with the benefits of reducing network losses and reducing network capacity as evaluation indicators.

[0205] The lower-level indicators are constructed based on the first-level indicators, including:

[0206] Based on the consistency of energy storage units, four levels of evaluation indicators corresponding to the consistency of energy storage units are constructed with full charge voltage consistency and temperature consistency after cycling as evaluation indicators;

[0207] Based on the maximum power capability, the four-layer evaluation index corresponding to the maximum power capability is constructed with the maximum charging power and the maximum discharging power as evaluation indicators;

[0208] Based on the maximum energy capability, a four-layer evaluation index corresponding to the maximum energy capability is constructed with the maximum discharge energy and the maximum charge energy as evaluation indicators;

[0209] Based on the consistency decay rate, a four-layer evaluation index corresponding to the consistency decay rate is constructed with the full charge voltage consistency decay rate and the temperature consistency decay rate after cycling as evaluation indicators;

[0210] Based on the power decay rate, a four-layer evaluation index corresponding to the power decay rate is constructed with the maximum charging power decay rate and the maximum discharging power decay rate as evaluation indicators;

[0211] Based on the energy decay rate, a four-layer evaluation index corresponding to the energy decay rate is constructed with the maximum charging energy decay rate and the maximum discharging energy decay rate as evaluation indicators;

[0212] Based on the efficiency of the energy storage power station, the four-layer evaluation index corresponding to the efficiency of the energy storage power station is constructed with the power consumption rate of the energy storage power station as the evaluation index;

[0213] Based on the relative deviation from the standard error, four levels of evaluation indicators corresponding to the relative deviation from the standard error are constructed, taking the peak-shaving mode deviation from the standard error, the new energy absorption mode deviation from the standard error and the peak-shaving and valley-filling mode deviation from the standard error as evaluation indicators;

[0214] Based on the response rate, four layers of evaluation indicators corresponding to the response rate are constructed with the peak-shaving mode response rate, the new energy absorption mode response rate and the peak-shaving and valley-filling mode response rate as evaluation indicators.

[0215] The specific process of determining the evaluation indicators in the above evaluation indicator system is as follows:

[0216] The full charge voltage consistency is determined by the following formula: In the formula, RSD U is the full charge voltage consistency, L is the number of energy storage units in the energy storage power station, and J is the number of battery packs in the energy storage unit; V i,j is the full charge voltage of the jth battery pack in energy storage unit i, λ i is the weight of energy storage unit i, λ i Determine as follows: In the formula, is the rated charging power of the energy storage station, is the rated discharge power of the energy storage power station, is the rated charging power of energy storage unit i, is the rated discharge power of energy storage unit i;

[0217] The temperature consistency after cycling is determined by the following formula: In the formula, RSD T is the temperature consistency after cycling, T i,j is the temperature of the jth battery pack in energy storage unit i;

[0218] The maximum charging power, the maximum discharging power, the maximum discharging energy, and the maximum charging energy are obtained through a battery management system or a monitoring system of the power station in the energy storage power station.

[0219] The full charge voltage consistency decay rate is determined by the following formula: Where RODRSD,U is the full charge voltage consistency decay rate, RSD′ U is the nominal value of full charge voltage consistency, and t is the comprehensive performance evaluation cycle of the energy storage power station;

[0220] The temperature consistency decay rate after cycling is determined by the following formula: Where ROD RSD,T is the temperature consistency decay rate after cycling, RSD T ′ is the nominal value of temperature consistency after cycling;

[0221] The maximum charging power decay rate is determined by the following formula: Where ROD P,chg is the maximum charging power decay rate, P chg,max is the maximum charging power of the energy storage power station;

[0222] The maximum discharge power decay rate is determined by the following formula: Where ROD P,dis is the maximum discharge power decay rate, P dis,max is the maximum discharge power of the energy storage power station;

[0223] The maximum charging energy decay rate is determined by the following formula: Where ROD E,chg is the maximum charging energy decay rate, E chg,max is the maximum charging energy of the energy storage station. is the rated charging energy of the energy storage power station;

[0224] The maximum discharge energy decay rate is determined by the following formula: Where ROD E,dis is the maximum discharge energy decay rate, E dis,max is the maximum discharge energy of the energy storage power station, is the rated discharge energy of the energy storage power station;

[0225] The failure rate of the energy storage power station is determined by the following formula: In the formula, θ err is the failure rate of the energy storage power station, N err is the number of failures of the energy storage power station during the evaluation period, and N is the actual number of working times of the energy storage power station during the evaluation period;

[0226] The power consumption rate of the energy storage power station is determined by the following formula: Where η stt is the electricity consumption rate of the energy storage power station, E stt To evaluate the power consumption of the energy storage power station during the period, E off It is the amount of electricity that can be disconnected from the grid by the energy storage power station during the evaluation period.

[0227] The charge and discharge efficiency of lead-acid and lithium batteries is determined by the following formula: Where η bat1 is the charge and discharge efficiency of lead-acid and lithium batteries, E bat,dis is the total discharge of the energy storage power station during the evaluation period, E bat,chg is the total charge of the energy storage station during the evaluation period;

[0228] The charging and discharging efficiency of all-vanadium liquid flow battery is determined by the following formula: Where η bat2 is the charge and discharge efficiency of the all-vanadium liquid flow battery, W bat,dis In order to evaluate the loss of auxiliary equipment during the discharge process of the energy storage power station within the cycle, W bat,chg To evaluate the loss of auxiliary equipment during the charging process of the energy storage power station within the cycle;

[0229] The charge and discharge efficiency of sodium-sulfur batteries is determined by the following formula: Where η bat3 is the charge and discharge efficiency of sodium-sulfur battery, H bat,dis To evaluate the power consumption of heating equipment during the discharge process of the energy storage power station during the cycle, H bat,chg To evaluate the amount of electricity consumed by the heating equipment during the charging process of the energy storage power station during the cycle.

[0230] The standard error of the peak shaving mode deviation is determined by the following formula: In the formula, RSD peak is the standard error of the peak-shaving mode deviation, N peak is the total number of times the energy storage power station participates in the peak load regulation mode during the evaluation period, E peak,n is the actual discharge capacity of the energy storage power station in the nth peak load regulation mode, The average actual discharge power of the energy storage power station under all peak load modes;

[0231] The standard error of the new energy absorption model deviation is determined by the following formula: In the formula, RSD vall is the standard error of the new energy absorption model, N vall E is the total number of times that energy storage power stations participate in the new energy absorption mode during the evaluation period. vall,k is the actual charging capacity of the energy storage power station under the k-th new energy absorption mode, It is the average actual charging capacity of energy storage power stations under all new energy absorption modes;

[0232] The standard error of the peak shaving and valley filling mode deviation is determined by the following formula: In the formula, RSD wave is the standard error of the peak shaving and valley filling mode, N wave is the total number of times the energy storage power station participates in the peak shaving and valley filling mode during the evaluation period, t wave,mis the actual working time of the energy storage power station in the mth peak shaving and valley filling mode, The average actual working time of energy storage power stations in all peak shaving and valley filling modes;

[0233] The peak-shaving mode response rate is determined by the following formula: In the formula, θ peak is the peak-shaving mode response rate, N plan,peak is the total number of peak load shaving tasks;

[0234] The response rate of the new energy absorption mode is determined by the following formula: In the formula, θ voll is the response rate of the new energy absorption mode, N plan,vall Total number of tasks for absorbing new energy;

[0235] The response rate of the peak shaving and valley filling mode is determined by the following formula: In the formula, θ wave is the peak shaving and valley filling mode response rate, N plan,wave It is the total number of peak shaving and valley filling tasks.

[0236] The income of the energy storage power station is determined by the following formula: In the formula, R opr Revenue of energy storage power station, t H is the discharge time of the energy storage power station during the peak power consumption period, t L is the charging time of the energy storage power station during the low power consumption phase, V high is the electricity price during the peak period, V low The electricity price during the low-consumption period;

[0237] The benefit of reducing network loss is determined by the following formula: B loss =ΔP loss,chg ∑t L V low +ΔP loss,dis ∑t H V high Where B loss To reduce the network loss, ΔP loss,chg The grid loss reduced when charging the energy storage station, ΔP loss,dis Reduce grid losses when the energy storage power station discharges;

[0238] The benefit of reducing network capacity is determined by the following formula: B cap =C cus ×max{P plan}; In the formula, B cap To reduce the network capacity, C cus is the unit cost of the regional distribution system, P plan It is the maximum value of the planned dispatching load of the dispatching system;

[0239] The return on investment is determined by the following formula: In the formula, ROI is the return on investment of the energy storage power station, C lab is labor cost, C E is the energy cost of the energy storage power station, C P is the power cost of the energy storage power station, C aux is the cost of the supporting power equipment in the energy storage power station, C fix is the operation and maintenance cost of the energy storage power station; C E , C P , C aux , C fix Determine as follows: In the formula, K E is the unit capacity cost of the energy storage power station, is the total storage capacity of the energy storage power station, η is the comprehensive efficiency of the energy storage power station, K P is the unit power cost of the energy storage power station, K aux is the unit energy cost of the supporting power equipment in the energy storage power station, K i It is the unit power operation and maintenance cost of the energy storage power station.

[0240] The final evaluation index values ​​are shown in Table 1:

[0241] Table 1

[0242]

[0243]

[0244] In the above S102, the comprehensive score of the energy storage power station is determined based on the index value, and the comprehensive score of the energy storage power station is determined specifically according to the following formula: Where S is the comprehensive score of the energy storage power station; k h is the weight of the hth evaluation index, which is determined by the hierarchical analysis method; F h is the score of the hth evaluation indicator, F h Determine as follows:

[0245] 1) When the evaluation indicators are full charge voltage consistency, temperature consistency after cycle, full charge voltage consistency decay rate, temperature consistency decay rate after cycle, maximum charge power decay rate, maximum discharge power decay rate, maximum charge energy decay rate, maximum discharge energy decay rate, energy storage power station failure rate, energy storage power station power consumption rate, peak load mode deviation from standard error, new energy absorption mode deviation from standard error or peak load filling mode deviation from standard error, F h =100-x, x is the index value of the evaluation index;

[0246] 2) When the evaluation indicators are maximum charging power, maximum discharging power, maximum charging energy, maximum discharging energy, lead-acid and lithium battery charging and discharging efficiency, all-vanadium liquid flow battery charging and discharging efficiency, sodium-sulfur battery charging and discharging efficiency, peak-shaving mode response rate, new energy absorption mode response rate or peak-shaving and valley-filling mode response rate, F h = x;

[0247] 3) When the evaluation indicator is the revenue of the energy storage power station,

[0248] 4) When the evaluation indicator is the benefit of the energy storage power station, Where B is the benefit of the energy storage power station, and B = B loss +B cap ;

[0249] 5) When the evaluation indicator is the return on investment of the energy storage power station,

[0250] The final scores of each evaluation index are shown in Table 2:

[0251]

[0252]

[0253] The weights of the evaluation indicators determined by the hierarchical analysis method are shown in Table 3:

[0254] Table 3

[0255]

[0256]

[0257] According to Table 2 and Table 3, the comprehensive score of the energy storage power station is S=70.9 points.

[0258] In the above S303, the comprehensive performance of the energy storage power station is evaluated based on the comprehensive score, and the specific process is as follows:

[0259] When S ≥ f1, the comprehensive performance of the energy storage power station is excellent;

[0260] When f2≤S<f1, the overall performance of the energy storage power station is good;

[0261] When f3≤S<f2, the comprehensive performance of the energy storage power station is medium;

[0262] When S<f3, the overall performance of the energy storage power station is poor;

[0263] Among them, f1, f2, and f3 are comprehensive score thresholds, and f1>f2>f3. Taking f1=90, f2=80, and f3=70, it can be seen that the comprehensive performance evaluation result of the energy storage power station is medium.

[0264] For the convenience of description, the various parts of the above-mentioned device are divided into various modules or units according to their functions and described separately. Of course, when implementing the present application, the functions of each module or unit can be implemented in the same or multiple software or hardware.

[0265] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.

[0266] 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.

[0267] 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.

[0268] 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 1 The steps for the functions specified in one or more boxes.

[0269] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Ordinary technicians in the relevant field can still modify or make equivalent substitutions to the specific implementation methods of the present invention with reference to the above embodiments. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention are within the scope of protection of the claims of the present invention to be approved.

Claims

1. A method for evaluating the comprehensive performance of an energy storage power station, characterized in that: include: Based on the evaluation index system and the collected values ​​of each energy storage unit in the evaluated energy storage power station, the values ​​of each evaluation index in the energy storage power station are calculated according to the calculation formulas of each evaluation index in the evaluation system which are preset; Determine a comprehensive score of the energy storage power station based on the indicator value and the weight of each indicator; Evaluate the comprehensive performance of the energy storage power station based on the comprehensive score; The energy storage power station evaluation index system is constructed in layers based on the state characteristics, operation characteristics and economic characteristics of each energy storage unit, each layer contains multiple evaluation indicators, and a calculation formula is set for the evaluation indicators; The construction of the energy storage power station evaluation index system includes: Setting state characteristics, operation characteristics and economic characteristics as first-level evaluation indicators, and constructing lower-level indicators based on the first-level indicators; Set calculation formulas for lower-level indicators; The constructing the lower-layer indicators based on the first-layer indicators includes: Based on the state characteristics, constructing a second-layer evaluation index corresponding to the state characteristics with real-time characteristics as evaluation indicators; Based on the operating characteristics, a second-layer evaluation index corresponding to the operating characteristics is constructed with a normal operating loss index, a difference index of different energy storage batteries, and a difference index of different working modes as evaluation indicators; Based on the economic characteristics, the income, benefit and return on investment of the energy storage power station are used as evaluation indicators to construct a second-level evaluation index corresponding to the economic characteristics; The constructing the lower-layer indicators based on the first-layer indicators includes: Based on the real-time characteristics, three-layer evaluation indicators corresponding to the real-time characteristics are constructed with energy storage unit consistency, maximum power capability and maximum capacity capability as evaluation indicators; Based on the normal operating loss index, a three-layer evaluation index corresponding to the normal operating loss index is constructed with consistency attenuation rate, power attenuation rate, energy attenuation rate, energy storage power station failure rate and efficiency as evaluation indicators; Based on the difference indicators of different energy storage batteries, three layers of evaluation indicators corresponding to the difference indicators of different energy storage batteries are constructed with the charge and discharge efficiency of lead-acid and lithium batteries, the charge and discharge efficiency of all-vanadium flow batteries, and the charge and discharge efficiency of sodium-sulfur batteries as evaluation indicators; Based on the different working mode difference indicators, three-level evaluation indicators corresponding to the different working mode difference indicators are constructed with relative deviation standard error and response rate as evaluation indicators; Based on the benefits of the energy storage power station, a three-level evaluation index corresponding to the benefits of the energy storage power station is constructed with the benefits of reducing network losses and reducing network capacity as evaluation indicators; The constructing the lower-layer indicators based on the first-layer indicators includes: Based on the consistency of the energy storage unit, four layers of evaluation indicators corresponding to the consistency of the energy storage unit are constructed with the full charge voltage consistency and the temperature consistency after the cycle as evaluation indicators; Based on the maximum power capability, four layers of evaluation indicators corresponding to the maximum power capability are constructed with the maximum charging power and the maximum discharging power as evaluation indicators; Based on the maximum energy capability, four layers of evaluation indicators corresponding to the maximum energy capability are constructed with maximum discharge energy and maximum charge energy as evaluation indicators; Based on the consistency decay rate, the four-layer evaluation index corresponding to the consistency decay rate is constructed with the full charge voltage consistency decay rate and the temperature consistency decay rate after the cycle as evaluation indicators; Based on the power decay rate, a four-layer evaluation index corresponding to the power decay rate is constructed with the maximum charging power decay rate and the maximum discharging power decay rate as evaluation indicators; Based on the energy decay rate, a four-layer evaluation index corresponding to the energy decay rate is constructed with the maximum charging energy decay rate and the maximum discharging energy decay rate as evaluation indexes; Based on the efficiency of the energy storage power station, four layers of evaluation indicators corresponding to the efficiency of the energy storage power station are constructed with the power consumption rate of the energy storage power station as the evaluation indicator; Based on the relative deviation from the standard error, four layers of evaluation indicators corresponding to the relative deviation from the standard error are constructed with the peak-shaving mode deviation from the standard error, the new energy absorption mode deviation from the standard error and the peak-shaving and valley-filling mode deviation from the standard error as evaluation indicators; Based on the response rate, four layers of evaluation indicators corresponding to the response rate are constructed with the peak-shaving mode response rate, the new energy absorption mode response rate and the peak-shaving and valley-filling mode response rate as evaluation indicators.

2. The comprehensive performance evaluation method of energy storage power station according to claim 1, characterized in that: The full charge voltage consistency is determined by the following formula: In the formula, RSD U is the full charge voltage consistency, L is the number of energy storage units in the energy storage power station, and J is the number of battery packs in the energy storage unit; V i,j is the full charge voltage of the jth battery pack in energy storage unit i, λ i is the weight of energy storage unit i, the i Determine by the following formula: In the formula, is the rated charging power of the energy storage station, is the rated discharge power of the energy storage power station, is the rated charging power of energy storage unit i, is the rated discharge power of energy storage unit i; The temperature consistency after the cycle is determined by the following formula: In the formula, RSD T is the temperature consistency after cycling, T i,j is the temperature of the jth battery pack in energy storage unit i.

3. The comprehensive performance evaluation method of energy storage power station according to claim 2, characterized in that: The full charge voltage consistency decay rate is determined by the following formula: Where ROD RSD,U is the full charge voltage consistency decay rate, RSD′ U is the nominal value of full charge voltage consistency, and t is the comprehensive performance evaluation cycle of the energy storage power station; The temperature consistency decay rate after the cycle is determined by the following formula: Where ROD RSD,T RSD′ is the temperature consistency decay rate after cycling. T is the nominal value of temperature consistency after cycling; The maximum charging power decay rate is determined by the following formula: Where ROD P,chg is the maximum charging power decay rate, P chg,max is the maximum charging power of the energy storage power station; The maximum discharge power decay rate is determined by the following formula: Where ROD P,dis is the maximum discharge power decay rate, P dis,max is the maximum discharge power of the energy storage power station; The maximum charging energy decay rate is determined by the following formula: Where ROD E,chg is the maximum charging energy decay rate, E chg,max is the maximum charging energy of the energy storage station. is the rated charging energy of the energy storage power station; The maximum discharge energy decay rate is determined by the following formula: Where ROD E,dis is the maximum discharge energy decay rate, E dis,max is the maximum discharge energy of the energy storage power station, is the rated discharge energy of the energy storage power station.

4. The comprehensive performance evaluation method of energy storage power station according to claim 2 is characterized in that: The lead-acid and lithium battery charging and discharging efficiency is determined by the following formula: Where η bat1 is the charge and discharge efficiency of lead-acid and lithium batteries, E bat,dis is the total discharge of the energy storage power station during the evaluation period, E bat,chg is the total charge of the energy storage station during the evaluation period; The charge and discharge efficiency of the all-vanadium liquid flow battery is determined by the following formula: Where η bat2 is the charge and discharge efficiency of the all-vanadium liquid flow battery, W bat,dis In order to evaluate the loss of auxiliary equipment during the discharge process of the energy storage power station within the cycle, W bat,chg To evaluate the loss of auxiliary equipment during the charging process of the energy storage power station within the cycle; The sodium-sulfur battery charge and discharge efficiency is determined by the following formula: Where η bat3 is the charge and discharge efficiency of sodium-sulfur battery, H bat,dis To evaluate the power consumption of heating equipment during the discharge process of the energy storage power station during the cycle, H bat,chg To evaluate the amount of electricity consumed by the heating equipment during the charging process of the energy storage power station during the cycle.

5. The comprehensive performance evaluation method of energy storage power station according to claim 2, characterized in that: The standard error of the peak shaving mode deviation is determined by the following formula: In the formula, RSD peak is the standard error of the peak-shaving mode deviation, N peak is the total number of times the energy storage power station participates in the peak load regulation mode during the evaluation period, E peak,n is the actual discharge capacity of the energy storage power station in the nth peak load regulation mode, The average actual discharge power of the energy storage power station under all peak load modes; The standard error of the new energy absorption model deviation is determined by the following formula: In the formula, RSD vall is the standard error of the new energy absorption model, N vall E is the total number of times that energy storage power stations participate in the new energy absorption mode during the evaluation period. vall,k is the actual charging capacity of the energy storage power station under the k-th new energy absorption mode, It is the average actual charging capacity of energy storage power stations under all new energy absorption modes; The standard error of the peak shaving and valley filling mode deviation is determined by the following formula: In the formula, RSD wave is the standard error of the peak shaving and valley filling mode, N wave is the total number of times the energy storage power station participates in the peak shaving and valley filling mode during the evaluation period, t wave,m is the actual working time of the energy storage power station in the mth peak shaving and valley filling mode, The average actual working time of energy storage power stations in all peak shaving and valley filling modes; The peak shaving mode response rate is determined by the following formula: In the formula, θ peak is the peak-shaving mode response rate, N plan,peak is the total number of peak load shaving tasks; The response rate of the new energy absorption mode is determined by the following formula: In the formula, θ voll is the response rate of the new energy absorption mode, N plan,vall Total number of tasks for absorbing new energy; The peak shaving and valley filling mode response rate is determined by the following formula: In the formula, θ wave is the peak shaving and valley filling mode response rate, N plan,wave It is the total number of peak shaving and valley filling tasks.

6. The comprehensive performance evaluation method of energy storage power station according to claim 2, characterized in that: The benefit of reducing network loss is determined by the following formula: B loss =ΔP loss,chg Σt L V low +ΔP loss,dis ∑t H V high In the formula, B loss To reduce the network loss, t H is the discharge time of the energy storage power station during the peak power consumption period, t L is the charging time of the energy storage power station during the low power consumption phase, V high is the electricity price during the peak period, V low is the electricity price during the low-peak period, ΔP loss,chg The grid loss reduced when charging the energy storage station, ΔP loss,dis Reduce grid losses when the energy storage power station discharges; The benefit of reducing network capacity is determined by the following formula: B cap =C cus ×max{P plan } In the formula, B cap To reduce the network capacity, C cus is the unit cost of the regional distribution system, P plan It is the maximum planned dispatching load of the dispatching system.

7. The comprehensive performance evaluation method of energy storage power station according to claim 6, characterized in that: The comprehensive score of the energy storage power station is determined based on the indicator value and the weight of each indicator, including: The comprehensive score of the energy storage power station is determined as follows: Where S is the comprehensive score of the energy storage power station; k h is the weight of the hth evaluation index, which is determined by the hierarchical analysis method; F h is the score of the h-th evaluation indicator.

8. The comprehensive performance evaluation method of energy storage power station according to claim 7, characterized in that: The F h Determine as follows: 1) When the evaluation indicators are full charge voltage consistency, temperature consistency after cycle, full charge voltage consistency decay rate, temperature consistency decay rate after cycle, maximum charge power decay rate, maximum discharge power decay rate, maximum charge energy decay rate, maximum discharge energy decay rate, energy storage power station failure rate, energy storage power station power consumption rate, peak load mode deviation from standard error, new energy absorption mode deviation from standard error or peak load filling mode deviation from standard error, F h =100-x, x is the index value of the evaluation index; 2) When the evaluation indicators are maximum charging power, maximum discharging power, maximum charging energy, maximum discharging energy, lead-acid and lithium battery charging and discharging efficiency, all-vanadium liquid flow battery charging and discharging efficiency, sodium-sulfur battery charging and discharging efficiency, peak-shaving mode response rate, new energy absorption mode response rate or peak-shaving and valley-filling mode response rate, F h = x; 3) When the evaluation indicator is the revenue of the energy storage power station, 4) When the evaluation indicator is the benefit of the energy storage power station, Where B is the benefit of the energy storage power station, and B = B loss +B cap ; 5) When the evaluation indicator is the return on investment of the energy storage power station, 9. The comprehensive performance evaluation method of energy storage power station according to claim 7, characterized in that: The comprehensive performance of the energy storage power station is evaluated based on the comprehensive score, including: When S ≥ f1, the comprehensive performance of the energy storage power station is excellent; When f2≤S<f1, the comprehensive performance of the energy storage power station is good; When f3≤S<f2, the comprehensive performance of the energy storage power station is medium; When S<f3, the comprehensive performance of the energy storage power station is poor; Among them, f1, f2, and f3 are comprehensive score thresholds, and f1>f2>f3.

10. A comprehensive performance evaluation device for an energy storage power station, characterized in that: include: An indicator value determination module is used to calculate the evaluation indicator values ​​of the energy storage power station according to the evaluation indicator calculation formulas preset in the evaluation system based on the evaluation indicator system and the collected values ​​of the energy storage units in the energy storage power station to be evaluated; A comprehensive score determination module, used to determine the comprehensive score of the energy storage power station based on the indicator value and the weight of each indicator; An evaluation module, used to evaluate the comprehensive performance of the energy storage power station based on the comprehensive score; The energy storage power station evaluation index system is constructed in layers based on the state characteristics, operation characteristics and economic characteristics of each energy storage unit, each layer contains multiple evaluation indicators, and a calculation formula is set for the evaluation indicators; The device also includes a building block, the building block including: A construction unit, used to set the state characteristics, operation characteristics and economic characteristics as first-layer evaluation indicators, and to construct lower-layer indicators based on the first-layer indicators; Determination unit, used to set calculation formula for lower-level indicators; The building blocks are specifically used for: Based on the state characteristics, constructing a second-layer evaluation index corresponding to the state characteristics with real-time characteristics as evaluation indicators; Based on the operating characteristics, a second-layer evaluation index corresponding to the operating characteristics is constructed with a normal operating loss index, a difference index of different energy storage batteries, and a difference index of different working modes as evaluation indicators; Based on the economic characteristics, the income, benefit and return on investment of the energy storage power station are used as evaluation indicators to construct a second-level evaluation index corresponding to the economic characteristics; The building blocks are specifically used for: Based on the real-time characteristics, three-layer evaluation indicators corresponding to the real-time characteristics are constructed with energy storage unit consistency, maximum power capability and maximum capacity capability as evaluation indicators; Based on the normal operating loss index, a three-layer evaluation index corresponding to the normal operating loss index is constructed with consistency attenuation rate, power attenuation rate, energy attenuation rate, energy storage power station failure rate and efficiency as evaluation indicators; Based on the difference indicators of different energy storage batteries, three layers of evaluation indicators corresponding to the difference indicators of different energy storage batteries are constructed with the charge and discharge efficiency of lead-acid and lithium batteries, the charge and discharge efficiency of all-vanadium flow batteries, and the charge and discharge efficiency of sodium-sulfur batteries as evaluation indicators; Based on the different working mode difference indicators, three-level evaluation indicators corresponding to the different working mode difference indicators are constructed with relative deviation standard error and response rate as evaluation indicators; Based on the benefits of the energy storage power station, a three-level evaluation index corresponding to the benefits of the energy storage power station is constructed with the benefits of reducing network losses and reducing network capacity as evaluation indicators; The building blocks are specifically used for: Based on the consistency of the energy storage unit, four layers of evaluation indicators corresponding to the consistency of the energy storage unit are constructed with the full charge voltage consistency and the temperature consistency after the cycle as evaluation indicators; Based on the maximum power capability, four layers of evaluation indicators corresponding to the maximum power capability are constructed with the maximum charging power and the maximum discharging power as evaluation indicators; Based on the maximum energy capability, four layers of evaluation indicators corresponding to the maximum energy capability are constructed with maximum discharge energy and maximum charge energy as evaluation indicators; Based on the consistency decay rate, the four-layer evaluation index corresponding to the consistency decay rate is constructed with the full charge voltage consistency decay rate and the temperature consistency decay rate after the cycle as evaluation indicators; Based on the power decay rate, a four-layer evaluation index corresponding to the power decay rate is constructed with the maximum charging power decay rate and the maximum discharging power decay rate as evaluation indicators; Based on the energy decay rate, a four-layer evaluation index corresponding to the energy decay rate is constructed with the maximum charging energy decay rate and the maximum discharging energy decay rate as evaluation indexes; Based on the efficiency of the energy storage power station, four layers of evaluation indicators corresponding to the efficiency of the energy storage power station are constructed with the power consumption rate of the energy storage power station as the evaluation indicator; Based on the relative deviation from the standard error, four layers of evaluation indicators corresponding to the relative deviation from the standard error are constructed with the peak-shaving mode deviation from the standard error, the new energy absorption mode deviation from the standard error and the peak-shaving and valley-filling mode deviation from the standard error as evaluation indicators; Based on the response rate, four layers of evaluation indicators corresponding to the response rate are constructed with the peak-shaving mode response rate, the new energy absorption mode response rate and the peak-shaving and valley-filling mode response rate as evaluation indicators.

11. The energy storage power station comprehensive performance evaluation device according to claim 10, characterized in that: The indicator value determination module is specifically used for: Determine the full charge voltage consistency as follows: In the formula, RSD U is the full charge voltage consistency, L is the number of energy storage units in the energy storage power station, and J is the number of battery packs in the energy storage unit; V i,j is the full charge voltage of the jth battery pack in energy storage unit i, λ i is the weight of energy storage unit i, the i Determine by the following formula: In the formula, is the rated charging power of the energy storage station, is the rated discharge power of the energy storage power station, is the rated charging power of energy storage unit i, is the rated discharge power of energy storage unit i; Determine the temperature consistency after cycling as follows: In the formula, RSD T is the temperature consistency after cycling, T i,j is the temperature of the jth battery pack in energy storage unit i.

12. The energy storage power station comprehensive performance evaluation device according to claim 11, characterized in that: The indicator value determination module is specifically used for: Determine the full charge voltage consistency decay rate as follows: Where ROD RSD,U is the full charge voltage consistency decay rate, RSD′ U is the nominal value of full charge voltage consistency, and t is the comprehensive performance evaluation cycle of the energy storage power station; Determine the temperature consistency decay rate after cycling as follows: Where ROD RSD,T RSD′ is the temperature consistency decay rate after cycling. T is the nominal value of temperature consistency after cycling; The maximum charging power decay rate is determined by the following formula: Where ROD P,chg is the maximum charging power decay rate, P chg,max is the maximum charging power of the energy storage power station; The maximum discharge power decay rate is determined by the following formula: Where ROD P,dis is the maximum discharge power decay rate, P dis,max is the maximum discharge power of the energy storage power station; The maximum charging energy decay rate is determined by the following formula: Where ROD E,chg is the maximum charging energy decay rate, E chg,max is the maximum charging energy of the energy storage station. is the rated charging energy of the energy storage power station; The maximum discharge energy decay rate is determined by the following formula: Where ROD E,dis is the maximum discharge energy decay rate, E dis,max is the maximum discharge energy of the energy storage power station, is the rated discharge energy of the energy storage power station.

13. The comprehensive performance evaluation device for energy storage power station according to claim 11, characterized in that: The indicator value determination module is specifically used for: Determine the charge and discharge efficiency of lead-acid and lithium batteries according to the following formula: Where η bat1 is the charge and discharge efficiency of lead-acid and lithium batteries, E bat,dis is the total discharge of the energy storage power station during the evaluation period, E bat,chg is the total charge of the energy storage station during the evaluation period; Determine the charging and discharging efficiency of the all-vanadium liquid flow battery according to the following formula: Where η bat2 is the charge and discharge efficiency of the all-vanadium liquid flow battery, W bat,dis In order to evaluate the loss of auxiliary equipment during the discharge process of the energy storage power station within the cycle, W bat,chg To evaluate the loss of auxiliary equipment during the charging process of the energy storage power station within the cycle; Determine the charge and discharge efficiency of sodium-sulfur batteries according to the following formula: Where η bat3 is the charge and discharge efficiency of sodium-sulfur battery, H bat,dis To evaluate the power consumption of heating equipment during the discharge process of the energy storage power station during the cycle, H bat,chg To evaluate the amount of electricity consumed by the heating equipment during the charging process of the energy storage power station during the cycle.

14. The energy storage power station comprehensive performance evaluation device according to claim 11, characterized in that: The indicator value determination module is specifically used for: Determine the standard error of the peak shaving mode deviation as follows: In the formula, RSD peak is the standard error of the peak-shaving mode deviation, N peak is the total number of times the energy storage power station participates in the peak load regulation mode during the evaluation period, E peak,n is the actual discharge capacity of the energy storage power station in the nth peak load regulation mode, The average actual discharge power of the energy storage power station under all peak load modes; Determine the standard error of the new energy absorption model deviation as follows: In the formula, RSD vall is the standard error of the new energy absorption model, N vall E is the total number of times that energy storage power stations participate in the new energy absorption mode during the evaluation period. vall,k is the actual charging capacity of the energy storage power station under the k-th new energy absorption mode, It is the average actual charging capacity of energy storage power stations under all new energy absorption modes; Determine the standard error of the peak shaving and valley filling mode deviation as follows: In the formula, RSD wave is the standard error of the peak shaving and valley filling mode, N wave is the total number of times the energy storage power station participates in the peak shaving and valley filling mode during the evaluation period, t wave,m is the actual working time of the energy storage power station in the mth peak shaving and valley filling mode, The average actual working time of energy storage power stations in all peak shaving and valley filling modes; The peak-shaving mode response rate is determined as follows: In the formula, θ peak is the peak-shaving mode response rate, N plan,peak is the total number of peak load shaving tasks; The response rate of the new energy absorption mode is determined by the following formula: In the formula, θ voll is the response rate of the new energy absorption mode, N plan,vall Total number of tasks for absorbing new energy; Determine the peak shaving and valley filling mode response rate as follows: In the formula, θ wave is the peak shaving and valley filling mode response rate, N plan,wave It is the total number of peak shaving and valley filling tasks.

15. The energy storage power station comprehensive performance evaluation device according to claim 11, characterized in that: The evaluation value determination module is specifically used for: The benefits of reducing network losses are determined by the following formula: B loss =ΔP loss,chg Σt L V low +ΔP loss,dis Σt H V high In the formula, B loss To reduce the network loss, t H is the discharge time of the energy storage power station during the peak power consumption period, t L is the charging time of the energy storage power station during the low power consumption phase, V high is the electricity price during the peak period, V low is the electricity price during the low-peak period, ΔP loss,chg The grid loss reduced when charging the energy storage station, ΔP loss,dis Reduce grid losses when the energy storage power station discharges; The benefits of reducing network capacity are determined as follows: B cap =C cus ×max{P plan } In the formula, B cap To reduce the network capacity, C cus is the unit cost of the regional distribution system, P plan It is the maximum planned dispatching load of the dispatching system.

16. The energy storage power station comprehensive performance evaluation device according to claim 15, characterized in that: The comprehensive score determination module determines the comprehensive score of the energy storage power station according to the following formula: Where S is the comprehensive score of the energy storage power station; k h is the weight of the hth evaluation index, which is determined by the hierarchical analysis method; F h is the score of the h-th evaluation indicator; F h Determine as follows: 1) When the evaluation indicators are full charge voltage consistency, temperature consistency after cycle, full charge voltage consistency decay rate, temperature consistency decay rate after cycle, maximum charge power decay rate, maximum discharge power decay rate, maximum charge energy decay rate, maximum discharge energy decay rate, energy storage power station failure rate, energy storage power station power consumption rate, peak load mode deviation from standard error, new energy absorption mode deviation from standard error or peak load filling mode deviation from standard error, F h =100-x, x is the index value of the evaluation index; 2) When the evaluation indicators are maximum charging power, maximum discharging power, maximum charging energy, maximum discharging energy, lead-acid and lithium battery charging and discharging efficiency, all-vanadium liquid flow battery charging and discharging efficiency, sodium-sulfur battery charging and discharging efficiency, peak-shaving mode response rate, new energy absorption mode response rate or peak-shaving and valley-filling mode response rate, F h = x; 3) When the evaluation indicator is the revenue of the energy storage power station, 4) When the evaluation indicator is the benefit of the energy storage power station, Where B is the benefit of the energy storage power station, and B = B loss +B cap ; 5) When the evaluation indicator is the return on investment of the energy storage power station, 17. The energy storage power station comprehensive performance evaluation device according to claim 16, characterized in that: The evaluation module is specifically used for: When S ≥ f1, the comprehensive performance of the energy storage power station is excellent; When f2≤S<f1, the comprehensive performance of the energy storage power station is good; When f3≤S<f2, the comprehensive performance of the energy storage power station is medium; When S<f3, the comprehensive performance of the energy storage power station is poor; Among them, f1, f2, and f3 are comprehensive score thresholds, and f1>f2>f3.

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