Energy storage system value system evaluation method and device considering new energy consumption capacity

Abstract

The application provides a method and device for evaluating a value system of an energy storage system considering new energy consumption capacity, the method comprising: collecting energy storage system operation data, constructing a new energy consumption model based on the energy storage system operation data; solving the new energy consumption model to generate an optimal strategy set of a power system operation containing energy storage; performing economic evaluation, technical evaluation and environmental evaluation on the optimal strategy set of the power system operation containing energy storage to generate an evaluation result of a value system of the energy storage system, which is used as a reference for the operation of the power system containing energy storage. The method promotes new energy consumption and improves the rational utilization rate of new energy, realizes quantitative analysis of the economic, technical and environmental values of the power system containing energy storage, and provides a reference for the operation decision of the energy storage system in a new power system with high proportion of new energy access.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of energy storage value evaluation, in particular to a method and device for evaluating the value system of an energy storage system considering the new energy consumption capacity. BACKGROUND

[0002] In recent years, clean energy such as wind power and photovoltaic power in China has developed rapidly under the support of industry policy and the driving of interests, and has achieved remarkable results with the installed capacity ranking first in the world. At the same time, due to the volatility and intermittency of wind power and photovoltaic power output, the problem of energy abandonment such as wind and light abandonment in some areas of China is becoming increasingly serious, and has become a major bottleneck restricting the healthy and sustainable development of clean energy in China. Due to the discontinuity, instability and uncontrollability of clean energy such as wind and solar energy, the problem of energy abandonment has always accompanied and restricted the development of clean energy in China. In addition, the cost of wind power and solar power on the generation side has decreased significantly, and the cost on the grid side will become the main factor for large-scale utilization of wind and solar energy. Energy storage technology, as the most effective solution to the instability of clean energy generation, will greatly affect the development potential of clean energy.

[0003] The prior art proposes a comprehensive evaluation method for the value of energy storage promoting clean energy utilization, which is used to solve the technical problem of clean energy generation and grid connection represented by wind and light in the prior art. The steps are as follows: first, the initial index set is screened by combining subjective screening method and objective screening method, and the screened index set is verified by correlation and reliability, to obtain a multi-dimensional evaluation index system for evaluating the value of energy storage promoting clean energy utilization; second, all indexes in the multi-dimensional evaluation index system for evaluating the value of energy storage promoting clean energy utilization are normalized and the weights of the indexes are calculated; then the evaluation matrix corresponding to the evaluated object is constructed; finally, the evaluation result of the evaluated object is output by fuzzy transformation according to the weights of the indexes and the evaluation matrix. However, the prior art lacks a new energy consumption calculation method for environmental cost, and cannot accurately quantify and analyze the comprehensive value of the energy storage system in promoting new energy consumption in the new power system.

[0004] The prior art proposes a system value evaluation method for power system energy storage, which mainly evaluates the system value of power system energy storage from the technical and economic perspectives, and the analysis dimension is insufficient. It does not propose comprehensive evaluation indexes of the energy storage system in promoting new energy consumption in the new power system, and the framework of the comprehensive value system of the energy storage system is not perfect.

[0005] Therefore, the existing research mainly studies the economic and technical feasibility of energy storage separately, and pays less attention to the comprehensive value characteristics of the new power system economy, technology and environment based on energy storage. It cannot accurately quantify and analyze the comprehensive value of the energy storage system in promoting new energy consumption in the new power system. SUMMARY

[0006] Therefore, the technical scheme of the present application mainly solves the defects that the prior art cannot accurately quantify and analyze the comprehensive value of the energy storage system in promoting new energy consumption in the new power system, thereby providing a method and device for evaluating the value system of the energy storage system considering the new energy consumption capacity.

[0007] In a first aspect, the embodiments of the present application provide a method for evaluating the value system of an energy storage system considering new energy consumption capacity, comprising:

[0008] Collecting energy storage system operation data, and constructing a new energy consumption model based on the energy storage system operation data;

[0009] Solving the new energy consumption model to generate a set of optimal strategies for the operation of a power system containing energy storage;

[0010] Economically, technically and environmentally evaluating the set of optimal strategies for the operation of the power system containing energy storage to generate an evaluation result of the value system of the energy storage system, which is used to provide a reference for the operation of the power system containing energy storage.

[0011] The method for evaluating the value system of the energy storage system considering new energy consumption capacity provided by the embodiments of the present application promotes new energy consumption and improves the rational utilization rate of new energy by constructing a new energy consumption model, solving the new energy consumption model, and generating a set of optimal strategies for the operation of a power system containing energy storage. Furthermore, the economic, technical and environmental values of the power system containing energy storage are quantitatively analyzed by economically, technically and environmentally evaluating the set of optimal strategies for the operation of the power system containing energy storage. Based on the evaluation result of the value system of the energy storage system, the curtailment rate of wind and solar power can be greatly reduced, the operation cost saving rate can be improved, the proportion of new energy generation can be slightly increased, and the carbon emission reduction rate can be slightly increased, thereby providing a reference for the operation decision of the energy storage system in a new power system with a high proportion of new energy access.

[0012] In combination with the first aspect, in a possible implementation manner, the constructing a new energy consumption model based on the energy storage system operation data comprises:

[0013] Determining the operation cost of thermal power units, the curtailment cost of wind and solar power, and the environmental cost based on the energy storage system operation data;

[0014] Constructing a target function based on the operation cost of thermal power units, the curtailment cost of wind and solar power, and the environmental cost;

[0015] The starting cost constraint, the fuel cost constraint, the load balance constraint, the transmission safety constraint, the backup constraint, the thermal power unit operation constraint, the new energy power generation output constraint, and the energy storage system constraint are taken as constraint conditions of the target function;

[0016] The new energy consumption model is constructed based on the target function and the constraint conditions of the target function.

[0017] In combination with the first aspect, in another possible implementation manner, the determination of the thermal power unit operation cost, the wind and light curtailment cost, and the environmental cost based on the energy storage system operation data comprises:

[0018] The thermal power unit starting cost and the fuel cost are obtained from the energy storage system operation data, and the thermal power unit operation cost is calculated based on the thermal power unit starting cost and the fuel cost;

[0019] The benchmark on-grid price, the theoretical and actual power generation amounts of the wind power station, and the theoretical and actual power generation amounts of the photovoltaic power station are obtained from the energy storage system operation data, and the wind and light curtailment cost is calculated based on the benchmark on-grid price, the theoretical and actual power generation amounts of the wind power station, and the theoretical and actual power generation amounts of the photovoltaic power station;

[0020] The carbon emission price, the mass of fossil fuel consumed by the unit, and the coefficient for converting the fuel cost of the unit into the mass of fuel are obtained from the energy storage system operation data, and the environmental cost is calculated based on the carbon emission price, the mass of fossil fuel consumed by the unit, and the coefficient for converting the fuel cost of the unit into the mass of fuel.

[0021] In combination with the first aspect, in another possible implementation manner, the solving of the new energy consumption model to generate an optimal energy storage system operation strategy set comprises:

[0022] The new energy consumption model is solved by using a commercial solver to generate an optimal energy storage system operation strategy set.

[0023] In combination with the first aspect, in another possible implementation manner, the economic evaluation, the technical evaluation, and the environmental evaluation of the optimal power system operation strategy set containing energy storage to generate an energy storage system value system evaluation result comprise:

[0024] The energy storage value system key index value is determined based on the optimal power system operation strategy set containing energy storage.

[0025] The economic evaluation, the technical evaluation, and the environmental evaluation of the optimal power system operation strategy set containing energy storage are performed by using the energy storage value system key index value to generate an energy storage system value system evaluation result.

[0026] With reference to the first aspect, in a possible implementation manner, the key indicator value of the energy storage value system comprises:

[0027] a cost saving rate indicator value, a new energy generation proportion indicator value, a curtailment rate indicator value, and a carbon emission reduction rate indicator value.

[0028] With reference to the first aspect, in a possible implementation manner, the determining of the key indicator value of the energy storage value system based on the optimal strategy set of the power system comprising energy storage comprises:

[0029] obtaining a system operation cost without energy storage, obtaining a system operation cost with energy storage in the optimal strategy set of the power system comprising energy storage, and determining a cost saving rate indicator value based on the system operation cost without energy storage and the system operation cost with energy storage;

[0030] obtaining a new energy actual generation amount and a total system generation amount in the optimal strategy set of the power system comprising energy storage, and determining a new energy generation proportion indicator value based on the new energy actual generation amount and the total system generation amount;

[0031] obtaining a new energy theoretical generation amount in the optimal strategy set of the power system comprising energy storage, and determining a curtailment rate indicator value based on the new energy actual generation amount and the new energy theoretical generation amount;

[0032] obtaining a system carbon emission amount without energy storage, obtaining a system carbon emission amount with energy storage in the optimal strategy set of the power system comprising energy storage, and determining a carbon emission reduction rate indicator value based on the system carbon emission amount without energy storage and the system carbon emission amount with energy storage.

[0033] In a second aspect, an embodiment of the present application further provides an energy storage system value system evaluation device considering new energy consumption capacity, comprising:

[0034] a construction module configured to collect energy storage system operation data, and construct a new energy consumption model based on the energy storage system operation data;

[0035] a solution module configured to solve the new energy consumption model, and generate an optimal strategy set of a power system comprising energy storage;

[0036] an evaluation module configured to perform economic evaluation, technical evaluation, and environmental evaluation on the optimal strategy set of the power system comprising energy storage, and generate an energy storage system value system evaluation result, wherein the energy storage system value system evaluation result is used to provide a reference for operation of the power system comprising energy storage.

[0037] In a third aspect, the embodiments of the present application further disclose an electronic device, comprising: at least one processor; and a memory connected with the at least one processor in communication; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the steps of the method for evaluating a value system of an energy storage system considering new energy consumption capacity according to the first aspect or any optional implementation manner of the first aspect.

[0038] In a fourth aspect, the embodiments of the present application further disclose a computer readable storage medium, which stores a computer program, and the computer program is executed by a processor to implement the steps of the method for evaluating a value system of an energy storage system considering new energy consumption capacity according to the first aspect or any optional implementation manner of the first aspect. BRIEF DESCRIPTION OF DRAWINGS

[0039] In order to more clearly illustrate the technical solutions of the embodiments of the present application or the prior art, the drawings needed in the specific embodiments or prior art description will be briefly introduced as follows. Obviously, the drawings in the following description are some embodiments of the present application, and for those skilled in the art, other drawings can also be obtained without creative labor on the basis of these drawings.

[0040] Figure 1 The flow chart of the method for evaluating a value system of an energy storage system considering new energy consumption capacity provided by the embodiments of the present application is shown in the following figure:

[0041] Figure 2 The flow chart of S101 provided by the embodiments of the present application is shown in the following figure:

[0042] Figure 3 The flow chart of S1011 provided by the embodiments of the present application is shown in the following figure:

[0043] Figure 4 The flow chart of S103 provided by the embodiments of the present application is shown in the following figure:

[0044] Figure 5 The flow chart of S1031 provided by the embodiments of the present application is shown in the following figure:

[0045] Figure 6 The block diagram of the device for evaluating a value system of an energy storage system considering new energy consumption capacity provided by the embodiments of the present application is shown in the following figure:

[0046] Figure 7 A specific example of the electronic device in the embodiments of the present application is shown in the following figure: DETAILED DESCRIPTION

[0047] The technical solutions of the present application will be described clearly and completely below in conjunction with the drawings. Obviously, the described embodiments are only some of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work fall within the scope of the present application.

[0048] In the description of the present application, it should be noted that the terms "first", "second", "third" are only for the purpose of description, and cannot be understood as indicating or implying relative importance. In addition, unless otherwise explicitly specified and limited, the terms "mounting", "connection", "connection" should be understood broadly, for example, it can be fixed connection, mechanical connection, or electrical connection; or it can be directly connected, or indirectly connected through an intermediate medium, or the internal communication of two elements, which can be wireless connection or wired connection. For those skilled in the art, the specific meaning of the above terms in the present application can be understood according to the specific circumstances.

[0049] The embodiment of the present application provides a value system evaluation method of energy storage system considering new energy consumption capacity, as shown in the figure, which comprises the following steps: Figure 1

[0050] S101, collect energy storage system operation data, and build a new energy consumption model based on the above energy storage system operation data.

[0051] Specifically, after high proportion of new energy is connected to the grid, the operation of the power system containing energy storage will generate the operation cost of thermal power units, the cost of abandoned wind and light, and the environmental cost; wherein the operation cost of thermal power units is the start-up cost and fuel cost, the cost of abandoned wind and light is the penalty fee caused by the operation of abandoned wind and light, and the environmental cost is the carbon emission fee that must be paid by the system during the operation process.

[0052] S102, solving the above new energy consumption model to generate a set of optimal strategies for the operation of the power system containing energy storage.

[0053] Specifically, the above new energy consumption model is solved by using a commercial solver to generate a set of optimal strategies for the operation of the energy storage system.

[0054] Further, the new energy consumption model is a mixed integer linear programming (MILP) model, which can be directly solved in the MATLAB (a commercial mathematical software) environment combined with the Yalmip tool package (a tool package specially developed for MATLAB to solve planning problems, which can be used to solve linear programming, integer programming, nonlinear programming, mixed programming, etc. Standard programming problems) using CPLEX commercial solver.

[0055] ​S103, perform economic evaluation, technical evaluation and environmental evaluation on the optimal strategy set of the power system containing energy storage to generate an energy storage system value system evaluation result, and the energy storage system value system evaluation result is used to provide reference for operation of the power system containing energy storage.

[0056] Specifically, the main body of the power supply side in the new power system is mainly thermal power plants and new energy power stations, wherein the new energy power stations are mainly wind power stations and photovoltaic power stations; the thermal power plant is equipped with an energy storage system, which can be used to assist the thermal power unit to carry out deep peak shaving and automatic generation control frequency modulation, and participate in the peak shaving and frequency modulation auxiliary service market to make profits. In addition, through the collaborative optimization of the energy storage system and the thermal power unit, the fluctuation range of the thermal power unit output can be reduced, the thermal power unit can be operated in an economic operation state, and problems such as high coal consumption and equipment wear and tear of the thermal power unit can be alleviated; the new energy power station is equipped with an energy storage system, which is mainly used to solve problems such as randomness and intermittency caused by large-scale access of new energy, reduce the amount of abandoned wind and light of the new energy power station, promote new energy consumption, and improve the economic benefit of the new energy power station by providing peak shaving and frequency modulation auxiliary services; the deployment of the energy storage system on the power supply side can greatly improve the peak shaving and frequency modulation auxiliary service capacity of the main body of the power supply side, provide system capacity, improve economic benefit, smooth new energy output fluctuation, and promote new energy consumption.

[0057] Further, the energy storage system on the grid side is mainly used for investment substitution in power transmission and distribution projects, alleviating congestion in power transmission and reducing network loss cost, providing system support for power transmission and distribution of the grid, optimizing new energy grid connection and power flow distribution, improving the stability and reliability of power supply of the grid, and at the same time, the grid side can make profits by providing corresponding auxiliary service capacity; under the peak-valley electricity price mechanism, the energy storage system can fully play its time-shifting characteristics, realize power arbitrage by peak clipping and valley filling, and further improve the system benefit; the energy storage system on the grid side can make the regulation means of the grid more diversified, improve the system regulation capacity of the grid, enhance the ability of the grid to effectively respond to high proportion of new energy access and various emergencies, and is conducive to the safe and stable operation of the grid.

[0058] Further, the energy storage system on the user side is mainly used for demand side management, provides fast regulation capacity, reshapes the user load curve, improves power quality, provides emergency backup power supply, and at the same time can realize reactive power compensation and other additional values. The user can adjust the electricity utilization strategy according to the load characteristics of the user, transfer the power demand in the peak electricity price period to the low electricity price period by using the energy storage system, and realize user side power management; at the same time, the user can reduce the maximum power consumption by using the energy storage system under the premise of meeting the production and life of the user, thereby reducing the capacity cost and realizing user side capacity management. In addition, the energy storage system on the user side has a certain autonomy and can flexibly participate in the electricity market competition, provide demand response capacity, and further improve the economic benefit of the user.

[0059] Further, in the context of large-scale access of new energy, it is necessary to comprehensively evaluate and analyze the comprehensive value of the energy storage system considering the new energy consumption capacity; the current mainstream single-scene evaluation method cannot comprehensively reflect the role of the energy storage system in promoting new energy consumption, and it is necessary to evaluate and analyze the economic, technical and environmental comprehensive value of the energy storage system on the power supply side, the power grid side and the user side; by constructing the energy storage system value system considering the new energy consumption capacity, comprehensive evaluation and analysis of the energy storage system value in the new-type power system with high proportion of new energy can be realized, the economic, technical and environmental value of the energy storage system in a specific scene can be accurately quantified, the multi-attribute application value of the energy storage system can be fully reflected, and the multi-type potential income of the energy storage system can be tapped.

[0060] The energy storage system value system evaluation method considering the new energy consumption capacity provided in the embodiment promotes new energy consumption and improves the rational utilization rate of new energy by constructing a new energy consumption model and solving the new energy consumption model to generate an optimal strategy set of the power system operation containing energy storage. Secondly, the economic, technical and environmental value of the power system containing energy storage is quantitatively analyzed by performing economic evaluation, technical evaluation and environmental evaluation on the optimal strategy set of the power system operation containing energy storage. Based on the evaluation results of the energy storage system value system, the wind and light curtailment rate of the energy storage system can be greatly reduced, the operation cost saving rate can be improved, the proportion of new energy generation can be slightly increased, and the carbon emission reduction rate can be slightly improved, thereby providing a reference for the operation decision of the energy storage system in the new-type power system with high proportion of new energy access.

[0061] As an optional embodiment of the present application, as shown in Figure 2 The above S101, i.e., the above constructing a new energy consumption model based on the energy storage system operation data, comprises:

[0062] S1011, determining the thermal power unit operation cost, wind and light curtailment cost and environmental cost based on the energy storage system operation data.

[0063] S1012, constructing a target function based on the thermal power unit operation cost, the wind and light curtailment cost and the environmental cost.

[0064] Specifically, the expression of the target function is as follows:

[0065]

[0066] In the above formula, C represents the operation cost of the new-type power system containing energy storage, C FUEL represents the thermal power unit operation cost, C RE represents the wind and light curtailment cost, and C represents the environmental cost.

[0067] S1013, the start-up cost constraint, the fuel cost constraint, the load balance constraint, the transmission safety constraint, the reserve constraint, the thermal power unit operation constraint, the new energy power generation output constraint, and the energy storage system constraint are taken as constraint conditions of the above objective function.

[0068] Specifically, the start-up cost constraint is as follows:

[0069] s i,t ≥S i (z i,t+1 -z i,t ) (2)

[0070] s i,t ≥0 (3)

[0071] In the above formula, S i is the start-up and shut-down cost function of unit i, z i,t is the start-up and shut-down state of unit i at time period t, and z i,t = 1 when the unit is started, and 0 otherwise.

[0072] Further, the fuel cost constraint is as follows:

[0073] c i,t =f i,t (p i,t ) (4)

[0074] In the above formula, f i,t (·) is the fuel cost function of unit i at time period t, and p i,t is the output power of unit i at time period t.

[0075] Further, the load balance constraint is as follows:

[0076]

[0077] In the above formula, I is the number of thermal power units, J is the number of energy storage systems, and are the charging and discharging amounts of energy storage system j at time period t, M and N are the numbers of wind power stations and photovoltaic power stations, is the actual power generation of wind power station m at time period t, is the actual power generation of photovoltaic power station n at time period t, and D t is the total electrical load of the system at time period t.

[0078] Further, the transmission safety constraint is as follows:

[0079]

[0080] In the above formula, is the upper limit of transmission power of transmission line l, Pmi, is the power transfer factor matrix of generator i in transmission line l, Pmi, is the power transfer factor matrix of wind farm m in transmission line l, Pmi, is the power transfer factor matrix of photovoltaic plant n in transmission line l, Pmi, is the power transfer factor matrix of energy storage system j in transmission line l, Pmi, is the power transfer factor matrix of load node k in transmission line l, K is the number of load nodes in the system, D k,t Pmi, is the total electrical load of the power system at time period t in load node k in transmission line l.

[0081] Further, the reserve constraints are shown as follows:

[0082]

[0083]

[0084] In the above equations, P i and P are the lower and upper generation power limits of generator i, respectively. and P are the positive and negative spinning reserve requirements of the power system at time period t, respectively.

[0085] Further, the generation capability constraint of thermal generator i in the thermal generator operation constraints can be expressed as:

[0086]

[0087] The ramping constraint of thermal generator i in the thermal generator operation constraints can be expressed as:

[0088]

[0089]

[0090] In the above equations, P and P are the ramping limits of generator i, respectively. i u and P i d are the maximum ramping rates of generator i, respectively.

[0091] The minimum on-off time constraint of thermal generator i in the thermal generator operation constraints can be expressed as:

[0092]

[0093]

[0094]

[0095]

[0096]

[0097]

[0098] In the above formula, G i and O i are the initial must on-off time of unit i, respectively; and are the minimum on-off time limit of unit i, respectively.

[0099] Further, the new energy power generation output constraint is as follows:

[0100]

[0101]

[0102] Further, the energy storage system constraint: the energy storage system cannot simultaneously charge and discharge in a time period, and the operation constraint can be expressed as:

[0103]

[0104] In the above formula, and are the charge and discharge operation states of energy storage system j in t period, is 1 when the energy storage system enters the charging state, and 0 otherwise; is 1 when the energy storage system enters the discharging state, and 0 otherwise.

[0105] The charge and discharge power constraint of the energy storage system in the energy storage system constraint can be expressed as:

[0106]

[0107]

[0108] In the above formula, and are the minimum and maximum values of the charge and discharge power of energy storage system j, respectively.

[0109] The remaining state of charge (SOC) dynamic change process of the energy storage system in the energy storage system constraint can be expressed as:

[0110]

[0111]

[0112] In the above formula: is the capacity of the energy storage system, is the energy storage loss of the energy storage system j, and is the charge-discharge loss of the energy storage system j, and are the minimum and maximum SOC values of the energy storage system j, respectively.

[0113] S1014, constructing the new energy consumption model based on the above objective function and the constraint condition of the above objective function.

[0114] As an optional embodiment of the present application, as shown in the above S1011, i.e., determining the thermal power unit operation cost, wind and light curtailment cost and environmental cost based on the energy storage system operation data, comprising: Figure 3

[0115] S10111, obtaining the thermal power unit startup cost and fuel cost in the above energy storage system operation data, and calculating the thermal power unit operation cost based on the thermal power unit startup cost and the fuel cost.

[0116] Specifically, the calculation formula of the thermal power unit operation cost is as follows:

[0117]

[0118] In the above formula, C FUEL is the total cost of startup and fuel of the thermal power unit (i.e., the thermal power unit operation cost), I is the number of thermal power units, s i,t is the startup cost of unit i at t period, c i,t is the fuel cost of unit i at t period.

[0119] S10112, obtaining the benchmark on-grid price, theoretical and actual power generation of the wind power station and theoretical and actual power generation of the photovoltaic power station in the above energy storage system operation data, and calculating the wind and light curtailment cost based on the benchmark on-grid price, theoretical and actual power generation of the wind power station and theoretical and actual power generation of the photovoltaic power station.

[0120] Specifically, the calculation formula of the wind and light curtailment cost is as follows:

[0121]

[0122] In the above formula, C RE is the wind and light curtailment cost of the system, λ RE is the benchmark on-grid price, M and N are the number of wind power stations and photovoltaic power stations, respectively, and are the theoretical and actual power generation of photovoltaic power station n at t period, respectively.

[0123] ​S10113. Obtain the carbon emission price, the mass of fossil fuel consumed by the unit, and the coefficient for converting the unit's fuel cost into fuel mass from the above-mentioned energy storage system operation data. Calculate the above-mentioned environmental cost based on the carbon emission price, the mass of fossil fuel consumed by the unit, and the coefficient for converting the unit's fuel cost into fuel mass.

[0124] Specifically, in a power system, the mass of fossil fuel consumed by thermal power units for power generation can be expressed as:

[0125]

[0126] In the above formula, Let t represent the mass of fossil fuel consumed by unit i during time period t, and ε represent the coefficient by which the unit's fuel cost is converted into fuel mass.

[0127] Furthermore, the mass of carbon dioxide emitted during the combustion of fossil fuels can be expressed as:

[0128]

[0129] In the above formula, Let be the mass of carbon dioxide produced by unit i during time period t. This is the carbon dioxide conversion coefficient.

[0130] The further carbon dioxide emission costs (i.e., environmental costs) can be expressed as:

[0131]

[0132] In the above formula, For the system's carbon dioxide emission costs, The price of carbon emissions.

[0133] As an optional embodiment of the present invention, such as Figure 4 As shown, S103 above, namely, performing economic, technical, and environmental evaluations on the above-mentioned set of optimal operating strategies for the power system including energy storage, and generating an evaluation result of the energy storage system value system, includes:

[0134] S1031. Based on the above set of optimal operating strategies for power systems that include energy storage, determine the key indicator values ​​of the energy storage value system.

[0135] Specifically, the key economic, technical, and environmental indicators of energy storage systems are important considerations for their application in different scenarios. These key indicators of the energy storage value system include: cost saving rate, proportion of new energy power generation, wind and solar curtailment rate, and carbon emission reduction rate.

[0136] S1032, evaluate the set of optimal strategies for the power system containing energy storage in terms of economy, technology and environment using the key indicator values of the energy storage value system, and generate an evaluation result of the energy storage value system.

[0137] As an optional embodiment of the present application, as shown in Figure 5 S1031, i.e., determining the key indicator values of the energy storage value system based on the set of optimal strategies for the power system containing energy storage, includes:

[0138] S10311, obtain the system operation cost without energy storage, obtain the system operation cost containing energy storage in the set of optimal strategies for the power system containing energy storage, and determine the cost saving rate indicator value based on the system operation cost without energy storage and the system operation cost containing energy storage.

[0139] Specifically, considering the economy of the energy storage system operation, the energy storage system can store excess power generated by new energy power generation and release energy during peak load period, thereby effectively reducing the output of thermal power units and reducing the system operation cost; the calculation formula of the cost saving rate indicator value is as follows:

[0140]

[0141] In the above formula, S1 is the system cost saving rate indicator value, T is the calculation time length, is the system operation cost containing energy storage in period t, is the system operation cost without energy storage in period t.

[0142] S10312, obtain the actual new energy power generation and the total system power generation in the set of optimal strategies for the power system containing energy storage, and determine the new energy power generation proportion indicator value based on the actual new energy power generation and the total system power generation.

[0143] Specifically, considering the new energy utilization rate of the system, the new energy power generation proportion can effectively represent the access degree of new energy power generation in the new power system, and is an important indicator for measuring the utilization degree of new energy in the new power system, which is the ratio of new energy power generation to total power generation; the calculation formula of the new energy power generation proportion indicator value is as follows:

[0144]

[0145] In the above formula, S2 is the new energy power generation proportion indicator value, is the actual new energy power generation in period t, is the total system power generation in period t.

[0146] S10313, obtain the new energy theoretical power generation in the optimal strategy set of the power system containing energy storage, and determine the abandoned wind and light rate index value based on the actual new energy power generation and the new energy theoretical power generation.

[0147] Specifically, considering the new energy consumption capacity of the system, the abandoned wind and light rate represents the loss of on-grid price caused by abandoned wind and light operation in the new power system, which is an important index for measuring the new energy consumption capacity of the system; the calculation formula of the abandoned wind and light rate index value is as follows:

[0148]

[0149] In the above formula, S3 is the abandoned wind and light rate index value of the system, is the new energy theoretical power generation of the system at t period.

[0150] S10314, obtain the carbon emission of the system without energy storage, obtain the carbon emission of the system containing energy storage in the optimal strategy set of the power system containing energy storage, and determine the carbon emission reduction rate index value based on the carbon emission of the system without energy storage and the carbon emission of the system containing energy storage.

[0151] Specifically, considering the environmental benefits of the system, the operation of the new power system will produce environmental costs, mainly reflected in the carbon emission of thermal power units in the operation process, and the carbon emission reduction rate is an important index for representing the environmental benefits of the system; the calculation formula of the carbon emission reduction rate index value is as follows:

[0152]

[0153] In the above formula, S4 is the carbon emission reduction rate index value, is the carbon emission of the system containing energy storage at t period, is the carbon emission of the system without energy storage at t period.

[0154] The embodiment of the application also discloses a storage system value system evaluation device considering new energy consumption capacity, as shown in the figure, comprising: Figure 6

[0155] The construction module 61 is used for collecting storage system operation data, and constructing a new energy consumption model based on the storage system operation data; for details, see the related description of S101 in the above method embodiment.

[0156] The solving module 62 is used for solving the new energy consumption model to generate an optimal strategy set of the power system containing energy storage; for details, see the related description of S12 in the above method embodiment.

[0157] ​The evaluation module 63 is configured to perform economic evaluation, technical evaluation and environmental evaluation on the optimal strategy set of the power system containing the energy storage, to generate an energy storage system value system evaluation result, and the energy storage system value system evaluation result is used as a reference for the operation of the power system containing the energy storage. For details, refer to the related description of S103 in the method embodiment.

[0158] The energy storage system value system evaluation device provided by the application considers the new energy consumption capacity, and the optimal strategy set of the power system containing the energy storage is generated by constructing and solving the new energy consumption model, which promotes the new energy consumption and improves the rational utilization rate of new energy. In addition, the economic, technical and environmental values of the power system containing the energy storage are quantitatively analyzed by performing economic evaluation, technical evaluation and environmental evaluation on the optimal strategy set of the power system containing the energy storage. Based on the energy storage system value system evaluation result, the wind and light curtailment rate of the energy storage system can be greatly reduced, the operation cost saving rate can be improved, the new energy generation capacity ratio can be slightly improved, and the carbon emission reduction rate can be slightly improved, which provides a reference for the operation decision of the energy storage system in the new power system with high proportion of new energy access.

[0159] As an optional embodiment of the application, the construction module 61 comprises: a first determination sub-module configured to determine the operation cost, wind and light curtailment cost and environmental cost of the thermal power unit based on the energy storage system operation data; a first construction sub-module configured to construct a target function based on the operation cost of the thermal power unit, the wind and light curtailment cost and the environmental cost; an acquisition sub-module configured to acquire the start-up cost constraint, fuel cost constraint, load balance constraint, transmission safety constraint, standby constraint, thermal power unit operation constraint, new energy generation output constraint and energy storage system constraint as constraint conditions of the target function; and a second construction sub-module configured to construct the new energy consumption model based on the target function and the constraint conditions of the target function.

[0160] As an optional implementation of the present application, the first determining sub-module comprises: a first calculating unit, configured to obtain the starting cost of the thermal power unit and the fuel cost from the energy storage system operation data, and calculate the operation cost of the thermal power unit based on the starting cost of the thermal power unit and the fuel cost; a second calculating unit, configured to obtain the benchmark on-grid price, the theoretical and actual power generation of the wind power station and the theoretical and actual power generation of the photovoltaic power station from the energy storage system operation data, and calculate the curtailment cost of wind and light based on the benchmark on-grid price, the theoretical and actual power generation of the wind power station and the theoretical and actual power generation of the photovoltaic power station; and a third calculating unit, configured to obtain the carbon emission price, the mass of fossil fuel consumed by the unit and the coefficient of converting the fuel cost of the unit into fuel mass from the energy storage system operation data, and calculate the environmental cost based on the carbon emission price, the mass of fossil fuel consumed by the unit and the coefficient of converting the fuel cost of the unit into fuel mass.

[0161] As an optional implementation of the present application, the evaluation module comprises: a second determining sub-module, configured to determine the key indicator values of the energy storage value system based on the optimal strategy set of the power system containing energy storage; and an evaluation sub-module, configured to perform economic evaluation, technical evaluation and environmental evaluation on the optimal strategy set of the power system containing energy storage by using the key indicator values of the energy storage value system, and generate the evaluation result of the energy storage system value system.

[0162] As an optional implementation of the present application, the second determining sub-module comprises: a first determining unit, configured to obtain the system operation cost without energy storage, obtain the system operation cost containing energy storage from the optimal strategy set of the power system containing energy storage, and determine the cost saving rate indicator value based on the system operation cost without energy storage and the system operation cost containing energy storage; a second determining unit, configured to obtain the actual power generation of new energy and the total power generation of the system from the optimal strategy set of the power system containing energy storage, and determine the new energy power generation proportion indicator value based on the actual power generation of new energy and the total power generation of the system; a third determining unit, configured to obtain the theoretical power generation of new energy from the optimal strategy set of the power system containing energy storage, and determine the curtailment rate of wind and light indicator value based on the actual power generation of new energy and the theoretical power generation of new energy; and a fourth determining unit, configured to obtain the carbon emission of the system without energy storage, obtain the carbon emission of the system containing energy storage from the optimal strategy set of the power system containing energy storage, and determine the carbon emission reduction rate indicator value based on the carbon emission of the system without energy storage and the carbon emission of the system containing energy storage.

[0163] In addition, the embodiment of the present application also provides an electronic device, such as Figure 7As shown, the electronic device can include a processor 110 and a memory 120, wherein the processor 110 and the memory 120 can be connected by a bus or other means, Figure 7 In addition, the electronic device further includes at least one interface 130, which can be a communication interface or other interface, and the present embodiment does not limit this.

[0164] The processor 110 can be a central processing unit (CPU). The processor 110 can also be other general-purpose processors, digital signal processors (DSP), application specific integrated circuits (ASIC), field programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or a combination thereof.

[0165] The memory 120 is a non-transitory computer readable storage medium, which can be used to store non-transitory software programs, non-transitory computer executable programs and modules, such as program instructions / modules corresponding to the video synthesis method in the embodiment of the present application. The processor 110 performs various functional applications and data processing of the processor by running the non-transitory software programs, instructions and modules stored in the memory 120, that is, implements the evaluation method of the energy storage system value system considering the new energy consumption capacity in the above method embodiment.

[0166] The memory 120 can include a program storage area and a data storage area, wherein the program storage area can store an operating system and at least one application required by a function; the data storage area can store data created by the processor 110, etc. In addition, the memory 120 can include a high-speed random access memory, and can also include a non-transitory memory, such as at least one magnetic disk storage device, a flash memory device, or other non-transitory solid-state storage device. In some embodiments, the memory 120 can optionally include a memory remotely arranged with respect to the processor 110, and these remote memories can be connected to the processor 110 through a network. Examples of the above network include but are not limited to the Internet, an intranet, a local area network, a mobile communication network, and a combination thereof.

[0167] In addition, the at least one interface 130 is used for communication between the electronic device and external devices, such as communication with a server, etc. Optionally, the at least one interface 130 can also be used to connect peripheral input / output devices, such as a keyboard, a display screen, etc.

[0168] The one or more modules are stored in the memory 120 and, when executed by the processor 110, perform the methods as described above. Figure 1 The evaluation method of the energy storage system value system considering new energy consumption capacity in the embodiment.

[0169] The above electronic device specific details can be referred to Figure 1 The corresponding related description and effects in the embodiment are understood, and will not be repeated here.

[0170] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by a computer program instructing related hardware, and the program can be stored in a computer readable storage medium. When the program is executed, it can include the processes of the above-mentioned embodiments. Among them, the storage medium can be a magnetic disc, an optical disc, a read-only memory (ROM), a random access memory (RAM), a flash memory, a hard disk drive (HDD) or a solid-state drive (SSD), etc. The storage medium can also include a combination of the above types of memories.

[0171] Obviously, the above embodiments are only examples for clearly illustrating, and not limit the embodiments. For those skilled in the art, on the basis of the above description, other different forms of changes or variations can also be made. Here, all the embodiments need not and cannot be exhausted. The obvious changes or variations derived therefrom are still within the protection scope of the present application.

Claims

1. An evaluation method for a value system of an energy storage system considering new energy consumption capacity, characterized in that, The method comprises the following steps: Collecting operation data of an energy storage system, and constructing a new energy consumption model based on the operation data of the energy storage system; Solving the new energy consumption model to generate a set of optimal strategies for operation of a power system containing energy storage; Evaluating the set of optimal strategies for operation of the power system containing energy storage in terms of economy, technology and environment to generate an evaluation result of a value system of the energy storage system, which is used as a reference for operation of the power system containing energy storage; The evaluation of the set of optimal strategies for operation of the power system containing energy storage in terms of economy, technology and environment to generate the evaluation result of the value system of the energy storage system comprises: Determining values of key indicators of the value system of the energy storage based on the set of optimal strategies for operation of the power system containing energy storage; the values of the key indicators of the value system of the energy storage include a cost saving rate indicator value, a new energy generation capacity proportion indicator value, a wind and light curtailment rate indicator value and a carbon emission reduction rate indicator value; Evaluating the set of optimal strategies for operation of the power system containing energy storage in terms of economy, technology and environment by using the values of the key indicators of the value system of the energy storage to generate the evaluation result of the value system of the energy storage system; The determination of the values of the key indicators of the value system of the energy storage based on the set of optimal strategies for operation of the power system containing energy storage comprises: Obtaining a system operation cost without energy storage, obtaining a system operation cost containing energy storage in the set of optimal strategies for operation of the power system containing energy storage, and determining the cost saving rate indicator value based on the system operation cost without energy storage and the system operation cost containing energy storage; Obtaining a new energy actual generation capacity and a total system generation capacity in the set of optimal strategies for operation of the power system containing energy storage, and determining the new energy generation capacity proportion indicator value based on the new energy actual generation capacity and the total system generation capacity; Obtaining a new energy theoretical generation capacity in the set of optimal strategies for operation of the power system containing energy storage, and determining the wind and light curtailment rate indicator value based on the new energy actual generation capacity and the new energy theoretical generation capacity; Obtaining a system carbon emission amount without energy storage, obtaining a system carbon emission amount containing energy storage in the set of optimal strategies for operation of the power system containing energy storage, and determining the carbon emission reduction rate indicator value based on the system carbon emission amount without energy storage and the system carbon emission amount containing energy storage.

2. The method of claim 1, wherein the method is characterized by, The construction of the new energy consumption model based on the operation data of the energy storage system comprises: Determining a thermal power unit operation cost, a wind and light curtailment cost and an environmental cost based on the operation data of the energy storage system; Constructing an objective function based on the thermal power unit operation cost, the wind and light curtailment cost and the environmental cost; Taking a start-up cost constraint, a fuel cost constraint, a load balance constraint, a transmission safety constraint, a reserve constraint, a thermal power unit operation constraint, a new energy generation output constraint and an energy storage system constraint as constraint conditions of the objective function; Constructing the new energy consumption model based on the objective function and the constraint conditions of the objective function.

3. The method of claim 2, wherein the method further comprises: The determination of the thermal power unit operation cost, the wind and light curtailment cost and the environmental cost based on the operation data of the energy storage system comprises: acquire a thermal power unit startup cost and a fuel cost in the energy storage system operation data, calculate the thermal power unit operation cost based on the thermal power unit startup cost and the fuel cost; acquire a benchmark on-grid price, a theoretical power generation amount and an actual power generation amount of a wind power station and a theoretical power generation amount and an actual power generation amount of a photovoltaic power station in the energy storage system operation data, calculate the curtailment cost based on the benchmark on-grid price, the theoretical power generation amount and the actual power generation amount of the wind power station and the theoretical power generation amount and the actual power generation amount of the photovoltaic power station; acquire a carbon emission price, a mass of fossil fuel consumed by a unit and a coefficient of converting a fuel cost of the unit into a fuel mass in the energy storage system operation data, calculate the environmental cost based on the carbon emission price, the mass of fossil fuel consumed by the unit and the coefficient of converting the fuel cost of the unit into the fuel mass.

4. The method of claim 1, wherein the method is characterized by, The new energy consumption model is solved to generate an optimal strategy set of energy storage system operation. The new energy consumption model is solved by using a commercial solver to generate an optimal strategy set of energy storage system operation.

5. The energy storage system value system evaluation device considering new energy consumption capacity, characterized in that, The device for implementing the method for evaluating a value system of an energy storage system considering new energy consumption capacity according to any one of claims 1 to 4 comprises: a construction module configured to collect energy storage system operation data and construct a new energy consumption model based on the energy storage system operation data; a solving module configured to solve the new energy consumption model to generate an optimal strategy set of an energy storage-included power system operation; an evaluation module configured to perform economic evaluation, technical evaluation and environmental evaluation on the optimal strategy set of the energy storage-included power system operation to generate an evaluation result of a value system of the energy storage system, and the evaluation result of the value system of the energy storage system is used as a reference for operation of the energy storage-included power system.

6. An electronic device, comprising: a processor and a memory coupled to the processor; the memory stores computer readable program instructions, and when the instructions are executed by the processor, the method according to any one of claims 1 to 4 is implemented.

7. A computer-readable storage medium having stored thereon a computer program, characterized in that The computer program is executed by the processor to implement the method according to any one of claims 1 to 4.

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