Economic evaluation method and device for energy storage power station and medium

Abstract

The invention discloses an energy storage power station economy evaluation method and device and a medium. The method comprises the steps that an interaction interface is displayed; first input for the interactive interface is received, the first input is used for determining an evaluation scene, and the evaluation scene comprises a plurality of parameters and a parameter value corresponding to each parameter; according to the multiple parameters and the parameter value corresponding to each parameter, evaluating at least one preset target parameter to obtain an evaluation result of each target parameter; and displaying each target parameter and an evaluation result of each target parameter. Through the mode, the evaluation scene can be determined based on user selection, evaluation is performed based on the parameters and the parameter values corresponding to the evaluation scene, the economic evaluation result of the energy storage power station is obtained, and a reference is provided for optimization of the energy storage power station by a user.

Description

Technical Field

[0001] This application relates to the technical field of power station energy storage, and particularly to a method, device and medium for evaluating the economy of an energy storage power station. Background Art

[0002] The development of energy storage power stations is of great significance. It can improve the stability of the power system, enhance energy utilization efficiency, reduce carbon emissions, achieve sustainable power generation, and contribute to better control of the development of the power grid and distributed energy.

[0003] By evaluating the economy of an energy storage power station, the photovoltaic output of the energy storage power station can be smoothed to achieve the purpose of peak shaving and valley filling. Therefore, there is an urgent need for a method for evaluating the economy of an energy storage power station. Summary of the Invention

[0004] This application provides a method, device and medium for evaluating the economy of an energy storage power station, which is used to evaluate the economy of an energy storage power station and provide a reference for users to optimize the energy storage power station.

[0005] In a first aspect, this application provides a method for evaluating the economy of an energy storage power station, including:

[0006] Display an interactive interface;

[0007] Receive a first input to the interactive interface, where the first input is used to determine an evaluation scenario, and the evaluation scenario includes multiple parameters and parameter values corresponding to each parameter;

[0008] Evaluate at least one preset target parameter according to the multiple parameters and parameter values corresponding to each parameter, and obtain an evaluation result of each target parameter;

[0009] Display each target parameter and the evaluation result of each target parameter.

[0010] In this embodiment, the evaluation scenario can be determined based on user selection, and the economy evaluation result of the energy storage power station can be obtained based on the parameters and parameter values corresponding to the evaluation scenario, providing a reference for users to optimize the energy storage power station.

[0011] In an embodiment of this application, the multiple parameters include the energy storage cost and energy storage parameters of the energy storage power station, and the at least one target parameter includes the cost per kilowatt-hour of energy storage;

[0012] Evaluating at least one preset target parameter according to the multiple parameters and parameter values corresponding to each parameter, and obtaining the parameter value of each target parameter, includes:

[0013] Evaluate the cost per kilowatt-hour of energy storage based on the respective parameter values of the energy storage cost and the energy storage parameters to obtain an evaluation result of the cost per kilowatt-hour of energy storage.

[0014] In this embodiment, the cost per kilowatt-hour of energy storage can be evaluated based on the energy storage cost and the energy storage parameters. Users can determine whether to optimize the energy storage power station and reduce costs according to the evaluation results.

[0015] In an embodiment of the present application, after receiving the first input to the interaction interface, the method further includes:

[0016] Receiving a second input, where the second input is used to select a first parameter from the multiple parameters;

[0017] Using the first parameter as a sensitivity factor, performing sensitivity analysis based on the multiple parameters and the parameter value corresponding to each parameter to obtain a sensitivity analysis result. The sensitivity analysis result is used to assist the user in judging the influence degree of the first parameter on the energy storage power station. The sensitivity analysis result includes at least one of the return on investment of the energy storage power station and the internal rate of return of the energy storage power station.

[0018] In this embodiment, the first parameter is selected through the second input, and sensitivity analysis is performed on the first parameter to obtain a sensitivity analysis result. The sensitivity analysis result is used to assist the user in judging the influence degree of the first parameter on the energy storage power station and assist the user in subsequent optimization of the energy storage power station.

[0019] In an embodiment of the present application, after receiving the first input to the interaction interface, the method further includes:

[0020] Receiving a third input, where the third input is used to input a boundary value of the return on investment of the energy storage power station or a boundary value of the internal rate of return of the energy storage power station;

[0021] According to the boundary value of the return on investment of the energy storage power station or the boundary value of the internal rate of return of the energy storage power station, and based on the multiple parameters and the parameter value corresponding to each parameter, perform boundary analysis to obtain a sensitivity curve and the boundary points of the sensitivity curve;

[0022] Display the sensitivity curve and mark the boundary points on the sensitivity curve.

[0023] In this embodiment, the boundary value of the return on investment of the energy storage power station or the boundary value of the internal rate of return of the energy storage power station is input through the third input, and boundary analysis is performed to obtain a sensitivity curve and the boundary points of the sensitivity curve, which are used to assist the user in judging the influence degree of each parameter on the energy storage power station and provide a reference for power station optimization.

[0024] In one embodiment of the present application, the multiple parameters include: loan parameters of the energy storage power station, energy storage cost, energy storage parameters, and auxiliary parameters, and the auxiliary parameters include peak shaving compensation price, electricity purchase price, and electricity selling price.

[0025] In this embodiment, by setting these parameters, it is convenient to perform economic evaluation on the energy storage power station subsequently and assist users in making corresponding decisions.

[0026] In one embodiment of the present application, the at least one target parameter further includes: internal rate of return of the energy storage power station over its entire life cycle, profit rate of the energy storage power station over its entire life cycle, investment payback period, total expenditure of the energy storage power station, total income of the energy storage power station, total profit of the energy storage power station, and energy storage cost per unit of electricity.

[0027] In this embodiment, by setting these target parameters, the economy of the energy storage power station can be evaluated comprehensively, providing a reference for power station optimization.

[0028] In one embodiment of the present application, displaying each of the target parameters and the evaluation result of each of the target parameters includes:

[0029] Displaying the evaluation value of each target parameter corresponding to the current time in the first area of the pop-up window;

[0030] Displaying multiple groups of evaluation values of each target parameter during the entire life cycle of the energy storage power station in the second area of the pop-up window.

[0031] In this embodiment, by displaying the evaluation value of each target parameter and multiple groups of evaluation values of each target parameter during the entire life cycle of the energy storage power station, it is convenient for users to view the corresponding evaluation values according to actual needs, providing a reference for power station optimization.

[0032] In one embodiment of the present application, after displaying multiple groups of evaluation values of each target parameter during the entire life cycle of the energy storage power station in the second area of the pop-up window, the method further includes:

[0033] Receiving a fourth input;

[0034] Exporting multiple groups of evaluation values of each target parameter during the entire life cycle of the energy storage power station to form an analysis report.

[0035] In this embodiment, multiple groups of evaluation values of each target parameter during the entire life cycle of the energy storage power station can be exported through the fourth input to form an analysis report, facilitating further analysis by users and guiding the optimization of the energy storage power station.

[0036] In a second aspect, an embodiment of the present application provides an energy storage power station economic evaluation device, including:

[0037] A first display module for displaying an interactive interface;

[0038] A first receiving module for receiving a first input to the interactive interface, the first input being used to determine an evaluation scenario, the evaluation scenario including a plurality of parameters and parameter values corresponding to each parameter;

[0039] An evaluation module for evaluating at least one preset target parameter according to the plurality of parameters and the parameter values corresponding to each parameter, to obtain an evaluation result of each target parameter;

[0040] A second display module for displaying each target parameter and the evaluation result of each target parameter.

[0041] In this embodiment, the evaluation scenario can be determined based on user selection, and evaluation can be performed based on the parameters and parameter values corresponding to the evaluation scenario to obtain an economic evaluation result of the energy storage power station, providing a reference for the user to optimize the energy storage power station.

[0042] In an embodiment of the present application, the plurality of parameters include the energy storage cost and energy storage parameters of the energy storage power station, and the at least one target parameter includes the levelized cost of energy storage;

[0043] The evaluation module is specifically configured to evaluate the levelized cost of energy storage according to the parameter values corresponding to the energy storage cost and the energy storage parameters respectively, to obtain an evaluation result of the levelized cost of energy storage.

[0044] In this embodiment, the levelized cost of energy storage can be evaluated according to the energy storage cost and energy storage parameters, and the user can determine whether it is necessary to optimize the energy storage power station and reduce costs according to the evaluation result.

[0045] In an embodiment of the present application, the device further includes:

[0046] A second receiving module for receiving a second input, the second input being used to select a first parameter from the plurality of parameters;

[0047] A first analysis module for using the first parameter as a sensitivity factor, and performing sensitivity analysis based on the plurality of parameters and the parameter values corresponding to each parameter, to obtain a sensitivity analysis result, the sensitivity analysis result being used to assist the user in judging the influence degree of the first parameter on the energy storage power station, the sensitivity analysis result including at least one of the return on investment of the energy storage power station and the internal rate of return of the energy storage power station.

[0048] In this embodiment, the first parameter is selected through the second input, and sensitivity analysis is performed on the first parameter to obtain a sensitivity analysis result, which is used to assist the user in judging the influence degree of the first parameter on the energy storage power station and assist the user in subsequent optimization of the energy storage power station.

[0049] In an embodiment of the present application, the device further includes:

[0050] A third receiving module, configured to receive a third input, where the third input is used to input a boundary value of the return on investment of the energy storage power station or a boundary value of the internal rate of return of the energy storage power station;

[0051] A second analysis module, configured to perform boundary analysis according to the boundary value of the return on investment of the energy storage power station or the boundary value of the internal rate of return of the energy storage power station, and according to the multiple parameters and the parameter values corresponding to each parameter, to obtain a sensitivity curve and boundary points of the sensitivity curve;

[0052] A third display module, configured to display the sensitivity curve and mark the boundary points on the sensitivity curve.

[0053] In this embodiment, the boundary value of the return on investment of the energy storage power station or the boundary value of the internal rate of return of the energy storage power station is input through the third input, and boundary analysis is performed to obtain a sensitivity curve and boundary points of the sensitivity curve, which are used to assist the user in judging the influence degree of each parameter on the energy storage power station and provide a reference for power station optimization.

[0054] In an embodiment of the present application, the multiple parameters include: loan parameters of the energy storage power station, energy storage cost, energy storage parameters, and auxiliary parameters, and the auxiliary parameters include peak shaving compensation price, purchased price of electricity, and sold price of electricity.

[0055] In this embodiment, by setting these parameters, it is convenient to perform economic evaluation on the energy storage power station subsequently and assist the user in making corresponding decisions.

[0056] In an embodiment of the present application, the at least one target parameter further includes: the internal rate of return of the entire life cycle of the energy storage power station, the profit rate of the entire life cycle of the energy storage power station, the investment payback period, the total expenditure of the energy storage power station, the total income of the energy storage power station, the total profit of the energy storage power station, and the cost per kilowatt-hour of energy storage.

[0057] In this embodiment, by setting these target parameters, the economy of the energy storage power station can be evaluated comprehensively and provide a reference for power station optimization.

[0058] In an embodiment of the present application, the second display module includes:

[0059] The first display sub-module is used to display the evaluation value of each of the target parameters corresponding to the current time in the first area of the pop-up window;

[0060] The second display sub-module is used to display multiple groups of evaluation values of each target parameter during the entire life cycle of the energy storage power station in the second area of the pop-up window.

[0061] In this embodiment, by displaying the evaluation value of each target parameter and multiple groups of evaluation values of each target parameter during the entire life cycle of the energy storage power station, it is convenient for users to view the corresponding evaluation values according to actual needs, providing a reference for power station optimization.

[0062] In an embodiment of the present application, the device further includes:

[0063] The fourth receiving module is used to receive a fourth input;

[0064] The export module is used to export multiple groups of evaluation values of each target parameter during the entire life cycle of the energy storage power station to form an analysis report.

[0065] In this embodiment, multiple groups of evaluation values of each target parameter during the entire life cycle of the energy storage power station can be exported through the fourth input to form an analysis report, which is convenient for users to further analyze and guide the optimization of the energy storage power station.

[0066] In a third aspect, an embodiment of the present application provides a readable storage medium, on which a program or instruction is stored. When the program or instruction is executed by a processor, the steps of the energy storage power station economic evaluation method described in the first aspect are implemented.

[0067] The above description is only an overview of the technical solution of the present application. In order to be able to understand the technical means of the present application more clearly, it can be implemented according to the content of the specification. And in order to make the above and other purposes, features and advantages of the present application more obvious and understandable, the following specifically gives the specific implementation manners of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0068] Next, the features, advantages and technical effects of the exemplary embodiments of the present application will be described with reference to the drawings.

[0069] Figure 1 It is a flowchart of the energy storage power station economic evaluation method provided by the embodiment of the present application;

[0070] Figure 2 It is a structural diagram of the energy storage power station economic evaluation device provided by the embodiment of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0071] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions in the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of this application. Obviously, the described embodiments are some, but not all, of the embodiments of this application. All other embodiments obtained by those of ordinary skill in the art based on the embodiments in this application without creative efforts shall fall within the scope of protection of this application.

[0072] Unless otherwise defined, all technical and scientific terms used in this application have the same meaning as commonly understood by those of ordinary skill in the technical field to which this application belongs; the terms used in the specification of this application are only for the purpose of describing specific embodiments and are not intended to limit this application; the terms "including" and "having" and any variations thereof in the specification and claims of this application and the above drawings are intended to cover non-exclusive inclusion. The terms "first", "second", etc. in the specification and claims of this application or the above drawings are used to distinguish different objects and are not used to describe a specific order or primary-secondary relationship.

[0073] Figure 1 It is a schematic flowchart of an economic evaluation method for an energy storage power station provided by an embodiment of this application. As Figure 1 shown, the method is applied to an electronic device. Among them, the method includes steps 101 to 104, where:

[0074] Step 101, display an interactive interface.

[0075] The interactive interface includes multiple evaluation scenarios. Each evaluation scenario can correspond to a province, and different provinces have different electricity usage plans. For example, the electricity prices in different provinces are different.

[0076] Step 102, receive a first input to the interactive interface. The first input is used to determine an evaluation scenario, and the evaluation scenario includes multiple parameters and parameter values corresponding to each parameter.

[0077] The first input is an input for selecting an evaluation scenario. For example, select the name of a province, and the electricity usage plan corresponding to the province name is an evaluation scenario. An evaluation scenario can include multiple parameters and initial values set for each parameter. The initial value is also called a recommended value.

[0078] Exemplarily, the multiple parameters include: the loan parameters of the energy storage power station, the energy storage cost, the energy storage parameters, and the auxiliary parameters. The loan parameters may include the loan ratio of the energy storage power station, the loan term, the loan interest rate, etc. The energy storage power station parameters may include the energy storage power station capacity, the power station power, etc. The auxiliary parameters may include the compensation price for peak shaving, the purchase price of the electricity price, and the selling price of the electricity price. The multiple parameters may also include other parameters, which are not limited herein. By setting these parameters, it is convenient to conduct an economic evaluation of the energy storage power station subsequently and assist the user in making corresponding decisions.

[0079] Step 103: Evaluate at least one preset target parameter according to the multiple parameters and the parameter values corresponding to each parameter, and obtain the evaluation results of each target parameter.

[0080] Exemplarily, the at least one target parameter further includes: the internal rate of return of the entire life cycle of the energy storage power station, the profit rate of the entire life cycle of the energy storage power station, the investment payback period, the total expenditure of the energy storage power station, the total income of the energy storage power station, the total profit of the energy storage power station, and the energy storage cost per kilowatt-hour. By setting these target parameters, the economy of the energy storage power station can be evaluated comprehensively and the user can be assisted in making corresponding decisions.

[0081] The parameter value corresponding to each parameter is defaulted to the preset initial value, and the user can also modify it manually. After the modification is completed, click the energy storage economy analysis function on the interaction interface to trigger the electronic device to evaluate each target parameter.

[0082] Exemplarily, the internal rate of return (IRR) of the entire life cycle of the energy storage power station can be calculated according to the following formula (1):

[0083]

[0084] a and b are discount rates, and a > b; NPVa is the positive net present value calculated when the discount rate is a; NPVb is the negative net present value calculated when the discount rate is b.

[0085] The internal rate of return is the discount rate when the total present value of the cash inflows is equal to the total present value of the cash outflows and the net present value is zero. On the basis of calculating the net present value, if the net present value is positive, a higher discount rate in this net present value calculation should be used for measurement until the positive net present value measured is close to zero. Then continue to increase the discount rate until a negative net present value is measured. If the negative value is too large, reduce the discount rate and then measure until it is close to zero. According to the discount rates of the adjacent positive and negative net present values close to zero, the internal rate of return is obtained by the linear interpolation method.

[0086] Exemplarily, the profit rate of the energy storage power station over its entire life cycle can be calculated according to the following formula (2):

[0087]

[0088] Wherein, EBIT refers to the total project profit; TI refers to the total project expenditure.

[0089] Step 104, display each of the target parameters and the evaluation result of each target parameter.

[0090] Exemplarily, the target parameters and the evaluation result of each target parameter can be displayed in an interactive interface, or can be displayed in a newly displayed pop-up window, which is not limited herein.

[0091] In this embodiment, an interactive interface is displayed; a first input to the interactive interface is received, the first input is used to determine an evaluation scenario, the evaluation scenario includes a plurality of parameters and parameter values corresponding to each parameter; at least one preset target parameter is evaluated according to the plurality of parameters and the parameter values corresponding to each parameter, and an evaluation result of each target parameter is obtained; each of the target parameters and the evaluation result of each target parameter is displayed. In the above manner, the evaluation scenario can be determined based on the user's selection, and the economic evaluation result of the energy storage power station can be obtained by evaluating based on the parameters and parameter values corresponding to the evaluation scenario, so as to assist the user in making corresponding decisions.

[0092] In an embodiment of the present application, the plurality of parameters include the energy storage cost and energy storage parameters of the energy storage power station, and the at least one target parameter includes the levelized cost of energy storage;

[0093] Evaluating at least one preset target parameter according to the plurality of parameters and the parameter values corresponding to each parameter to obtain the parameter value of each target parameter includes:

[0094] Evaluating the levelized cost of energy storage according to the parameter values corresponding to the energy storage cost and the energy storage parameters respectively, to obtain the evaluation result of the levelized cost of energy storage.

[0095] In this embodiment, when the plurality of parameters include the energy storage cost and energy storage parameters of the energy storage power station, the levelized cost of energy storage is evaluated. Exemplarily, the levelized cost of energy storage can be calculated according to the following formula (3):

[0096]

[0097] The energy storage cost includes the following parameters:

[0098] S refers to the system cost of the energy storage power station, for example, the battery cost of the energy storage power station;

[0099] CC refers to the construction cost of the energy storage power station;

[0100] OC refers to the operating cost of the energy storage power station;

[0101] The energy storage parameters include the following parameters:

[0102] RVR refers to the residual value rate of the energy storage power station, which can be understood as the remaining value of the energy storage power station;

[0103] CBL refers to the configured power of the energy storage power station;

[0104] DOD refers to the depth of discharge of the energy storage power station;

[0105] RTE refers to the round-trip efficiency of the energy storage power station, which can be understood as the charge-discharge loss;

[0106] L refers to the full life cycle length of the energy storage power station, such as 20 years;

[0107] SOH refers to the battery health in the energy storage power station, which can be understood as the percentage of the current capacity of the energy storage power station to the factory capacity of the battery.

[0108] The benchmark value of the cost per unit energy of energy storage is between 0.5 and 0.6. If the calculated cost per unit energy of energy storage is greater than the benchmark value, optimization of the energy storage power station is required to reduce costs. For example, increase the values of DOD, RTE, or SOH.

[0109] In this embodiment, the cost per unit energy of energy storage can be evaluated based on the energy storage cost and energy storage parameters. The user can determine whether to optimize the energy storage power station to reduce costs according to the evaluation results.

[0110] In an embodiment of the present application, after receiving the first input to the interaction interface, the method further includes:

[0111] Receiving a second input, where the second input is used to select a first parameter from the multiple parameters;

[0112] Taking the first parameter as a sensitivity factor, performing sensitivity analysis based on the multiple parameters and the parameter values corresponding to each parameter, and obtaining a sensitivity analysis result. The sensitivity analysis result is used to assist the user in judging the influence degree of the first parameter on the energy storage power station. The sensitivity analysis result includes at least one of the return on investment of the energy storage power station and the internal rate of return of the energy storage power station.

[0113] In this embodiment, one or several parameters are selected from the multiple parameters displayed in the interaction interface as sensitivity factors for sensitivity analysis. The first parameter may include the one or several selected parameters. After the first parameter is selected, the value range corresponding to each parameter in the first parameter is obtained from the database for sensitivity analysis to obtain a sensitivity analysis result, and the user can determine the influence program of the first parameter on the energy storage power station according to the sensitivity analysis result.

[0114] The sensitivity analysis may be based on the value range corresponding to each parameter in the first parameter obtained from the database, and based on the multiple parameters and the parameter value corresponding to each parameter, to simulate the IRR index and return on investment (ROI) corresponding to the parameter selected by the second input. The sensitivity analysis result obtained by the sensitivity analysis includes at least one of the return on investment of the energy storage power station and the internal rate of return of the energy storage power station.

[0115] In this embodiment, the first parameter is selected through the second input and sensitivity analysis is performed on the first parameter to obtain a sensitivity analysis result. The sensitivity analysis result is used to assist the user in judging the influence degree of the first parameter on the energy storage power station and assist the user in subsequent optimization of the energy storage power station.

[0116] In an embodiment of the present application, after receiving the first input to the interaction interface, the method further includes:

[0117] Receiving a third input, where the third input is used to input the boundary value of the return on investment of the energy storage power station or the boundary value of the internal rate of return of the energy storage power station;

[0118] According to the boundary value of the return on investment of the energy storage power station, or the boundary value of the internal rate of return of the energy storage power station, and according to the multiple parameters and the parameter value corresponding to each parameter, boundary analysis is performed to obtain a sensitivity curve and the boundary points of the sensitivity curve. The sensitivity curve is used to assist the user in judging the influence degree of each parameter in the multiple parameters on the energy storage power station;

[0119] Display the sensitivity curve and mark the boundary points on the sensitivity curve.

[0120] In this embodiment, the user can input boundary values through a third input for boundary analysis. Exemplarily, the user inputs the boundary value of the return on investment of the energy storage power station or the boundary value of the internal rate of return of the energy storage power station in the interaction interface, and clicks the boundary analysis button in the interaction interface to trigger the electronic device to perform boundary analysis. The boundary analysis is to perform sensitivity analysis based on the boundary value of the return on investment of the energy storage power station or the boundary value of the internal rate of return of the energy storage power station, and according to the multiple parameters and the parameter values corresponding to each parameter, calculate the sensitivity curve and the boundary points of the sensitivity curve, and mark the boundary points in red on the sensitivity curve, and the user can view the parameter values corresponding to the boundary points.

[0121] In the above, the boundary value of the return on investment of the energy storage power station or the boundary value of the internal rate of return of the energy storage power station is input through a third input, and boundary analysis is performed to obtain the sensitivity curve and the boundary points of the sensitivity curve, which are used to assist the user in judging the influence degree of each parameter on the energy storage power station and provide a reference for power station optimization.

[0122] In an embodiment of the present application, the displaying each of the target parameters and the evaluation result of each of the target parameters includes:

[0123] Displaying the evaluation value of each of the target parameters corresponding to the current time in the first area of the pop-up window;

[0124] Displaying multiple groups of evaluation values of each target parameter during the entire life cycle of the energy storage power station in the second area of the pop-up window.

[0125] In the above, the current time may be the current year. Exemplarily, a dashboard of echarts can be used to display three key indicators, including: the internal rate of return during the entire life cycle of the energy storage power station, the profit rate during the entire life cycle of the energy storage power station, and the investment payback period. Four additional key indicators are displayed in tabular form: the total expenditure of the energy storage power station, the total income of the energy storage power station, the total profit of the energy storage power station, and the cost per kilowatt-hour of energy storage. In addition, the economic data during the entire life cycle of the energy storage power station can also be displayed in tabular form, that is, the evaluation values of the target parameters of each year of the energy storage power station, and each group of evaluation values corresponds to the evaluation value of the target parameter for one year.

[0126] In the above, by displaying the evaluation value of each target parameter and multiple groups of evaluation values of each target parameter during the entire life cycle of the energy storage power station, it is convenient for the user to view the corresponding evaluation values according to actual needs and provide a reference for power station optimization.

[0127] In an embodiment of the present application, after displaying multiple groups of evaluation values of each target parameter during the entire life cycle of the energy storage power station in the second area of the pop-up window, the method further includes:

[0128] Receive a fourth input;

[0129] Derive multiple sets of evaluation values of each of the target parameters during the entire life cycle of the energy storage power station, and form an analysis report.

[0130] In this embodiment, multiple sets of evaluation values of each of the target parameters during the entire life cycle of the energy storage power station can be derived through the fourth input to form an analysis report, which is convenient for users to further analyze and guide the optimization of the energy storage power station.

[0131] Please refer to Figure 2 , which is a schematic structural diagram of the economic evaluation device for an energy storage power station provided by an embodiment of the present application. As Figure 2 shown, the economic evaluation device 200 for the energy storage power station includes:

[0132] A first display module 201 for displaying an interactive interface;

[0133] A first receiving module 202 for receiving a first input to the interactive interface, where the first input is used to determine an evaluation scenario, and the evaluation scenario includes multiple parameters and parameter values corresponding to each parameter;

[0134] An evaluation module 203 for evaluating at least one preset target parameter according to the multiple parameters and parameter values corresponding to each parameter, and obtaining an evaluation result of each target parameter;

[0135] A second display module 204 for displaying each target parameter and the evaluation result of each target parameter.

[0136] In this embodiment, the evaluation scenario can be determined based on user selection, and the economic evaluation result of the energy storage power station can be obtained based on the parameters and parameter values corresponding to the evaluation scenario, providing a reference for users to optimize the energy storage power station.

[0137] In an embodiment of the present application, the multiple parameters include the energy storage cost and energy storage parameters of the energy storage power station, and the at least one target parameter includes the energy storage cost per degree of electricity;

[0138] The evaluation module 203 is specifically configured to evaluate the energy storage cost per degree of electricity according to the parameter values corresponding to the energy storage cost and the energy storage parameters respectively, and obtain an evaluation result of the energy storage cost per degree of electricity.

[0139] In this embodiment, the energy storage cost per degree of electricity can be evaluated according to the energy storage cost and energy storage parameters, and users can determine whether it is necessary to optimize the energy storage power station and reduce costs according to the evaluation result.

[0140] In an embodiment of the present application, the device further includes:

[0141] A second receiving module, configured to receive a second input, where the second input is used to select a first parameter from the multiple parameters;

[0142] A first analysis module, configured to use the first parameter as a sensitivity factor, perform sensitivity analysis based on the multiple parameters and the parameter value corresponding to each parameter, and obtain a sensitivity analysis result, where the sensitivity analysis result is used to assist a user in judging the influence degree of the first parameter on the energy storage power station, and the sensitivity analysis result includes at least one of the return on investment of the energy storage power station and the internal rate of return of the energy storage power station.

[0143] In this embodiment, the first parameter is selected through the second input, and sensitivity analysis is performed on the first parameter to obtain a sensitivity analysis result, where the sensitivity analysis result is used to assist the user in judging the influence degree of the first parameter on the energy storage power station and assist the user in subsequent optimization of the energy storage power station.

[0144] In an embodiment of the present application, the device further includes:

[0145] A third receiving module, configured to receive a third input, where the third input is used to input a boundary value of the return on investment of the energy storage power station or a boundary value of the internal rate of return of the energy storage power station;

[0146] A second analysis module, configured to perform boundary analysis according to the boundary value of the return on investment of the energy storage power station or the boundary value of the internal rate of return of the energy storage power station, and according to the multiple parameters and the parameter value corresponding to each parameter, to obtain a sensitivity curve and boundary points of the sensitivity curve;

[0147] A third display module, configured to display the sensitivity curve and mark the boundary points on the sensitivity curve.

[0148] In this embodiment, the boundary value of the return on investment of the energy storage power station or the boundary value of the internal rate of return of the energy storage power station is input through the third input, and boundary analysis is performed to obtain a sensitivity curve and boundary points of the sensitivity curve, which are used to assist the user in judging the influence degree of each parameter on the energy storage power station and provide a reference for power station optimization.

[0149] In an embodiment of the present application, the multiple parameters include: loan parameters of the energy storage power station, energy storage cost, energy storage parameters, and auxiliary parameters, where the auxiliary parameters include peak shaving compensation price, electricity purchase price, and electricity selling price.

[0150] In this embodiment, by setting these parameters, it is convenient to perform economic evaluation on the energy storage power station subsequently and assist the user in making corresponding decisions.

[0151] In an embodiment of the present application, the at least one target parameter further includes: the internal rate of return of the energy storage power station over its entire life cycle, the profit margin of the energy storage power station over its entire life cycle, the investment payback period, the total expenditure of the energy storage power station, the total revenue of the energy storage power station, the total profit of the energy storage power station, and the cost per unit of energy storage.

[0152] In this embodiment, by setting these target parameters, the economy of the energy storage power station can be comprehensively evaluated, providing a reference for power station optimization.

[0153] In an embodiment of the present application, the second display module includes:

[0154] A first display sub-module for displaying the evaluation values of each of the target parameters corresponding to the current time in a first area of the pop-up window;

[0155] A second display sub-module for displaying multiple groups of evaluation values of each target parameter over the entire life cycle of the energy storage power station in a second area of the pop-up window.

[0156] In this embodiment, by displaying the evaluation values of each target parameter and multiple groups of evaluation values of each target parameter over the entire life cycle of the energy storage power station, it is convenient for the user to view the corresponding evaluation values according to actual needs, providing a reference for power station optimization.

[0157] In an embodiment of the present application, the device further includes:

[0158] A fourth receiving module for receiving a fourth input;

[0159] An export module for exporting multiple groups of evaluation values of each target parameter over the entire life cycle of the energy storage power station to form an analysis report.

[0160] In this embodiment, multiple groups of evaluation values of each target parameter over the entire life cycle of the energy storage power station can be exported through the fourth input to form an analysis report, facilitating further analysis by the user and guiding the optimization of the energy storage power station.

[0161] In addition, an embodiment of the present application can be implemented by providing a computer storage medium. Computer program instructions are stored on the computer storage medium; when the computer program instructions are executed by a processor, any one of the energy storage power station economy evaluation methods in the above embodiments is implemented.

[0162] It should be clear that the present application is not limited to the specific configurations and processes described above and shown in the figures. For the sake of brevity, detailed descriptions of known methods are omitted here. In the above embodiments, several specific steps are described and shown as examples. However, the method process of the present application is not limited to the specific steps described and shown. Those skilled in the art can make various changes, modifications, and additions, or change the order between steps after understanding the spirit of the present application.

[0163] The functional blocks shown in the above structural block diagrams can be implemented as hardware, software, firmware, or a combination thereof. When implemented in hardware, it can be, for example, an electronic circuit, an application specific integrated circuit (ASIC), appropriate firmware, a plug-in, a function card, and so on. When implemented in software, the elements of the present application are programs or code segments used to perform the required tasks. The program or code segment can be stored in a machine-readable medium, or transmitted via a data signal carried in a carrier wave on a transmission medium or a communication link. A "machine-readable medium" can include any medium capable of storing or transmitting information. Examples of machine-readable media include electronic circuits, semiconductor memory devices, ROM, flash memory, erasable ROM (EROM), floppy disks, CD-ROMs, optical discs, hard disks, fiber optic media, radio frequency (RF) links, and so on. The code segment can be downloaded via a computer network such as the Internet, an intranet, and so on.

[0164] It should also be noted that in the exemplary embodiments mentioned in the present application, some methods or systems are described based on a series of steps or devices. However, the present application is not limited to the order of the above steps. That is, the steps can be executed in the order mentioned in the embodiments, or different from the order in the embodiments, or several steps can be executed simultaneously.

[0165] Aspects of the present disclosure have been described above with reference to the flowcharts and / or block diagrams of methods, apparatuses, devices, and computer program products according to embodiments of the present disclosure. It should be understood that each block in the flowchart and / or block diagram, and the combinations of blocks 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, or other programmable data processing device to produce a machine, such that the instructions executed by the processor of the computer or other programmable data processing device enable the implementation of the functions / operations specified in one or more blocks of the flowchart and / or block diagram. Such a processor can be, but is not limited to, a general-purpose processor, a special-purpose processor, a special application processor, or a field programmable logic circuit. It is also understood that each block in the block diagram and / or flowchart, and the combinations of blocks in the block diagram and / or flowchart, can also be implemented by dedicated hardware that performs the specified functions or operations, or can be implemented by a combination of dedicated hardware and computer instructions.

[0166] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, and are not intended to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements on some or all of the technical features; and these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present application, and they should all be covered by the scope of the claims and the description of the present application. In particular, as long as there is no structural conflict, the technical features mentioned in each embodiment can be combined in any way. The present application is not limited to the specific embodiments disclosed herein, but includes all technical solutions falling within the scope of the claims.

Claims

1. A method for evaluating the economy of an energy storage power station, characterized in that, it includes: a display interaction interface; receiving a first input to the interaction interface, the first input being used to determine an evaluation scenario, the evaluation scenario including a plurality of parameters and parameter values corresponding to each parameter; evaluating at least one preset target parameter according to the plurality of parameters and the parameter values corresponding to each parameter, and obtaining an evaluation result of each target parameter; displaying each target parameter and the evaluation result of each target parameter.

2. The method for evaluating the economy of an energy storage power station according to claim 1, characterized in that, the plurality of parameters include the energy storage cost and energy storage parameters of the energy storage power station, and the at least one target parameter includes the cost per unit of energy storage; evaluating at least one preset target parameter according to the plurality of parameters and the parameter values corresponding to each parameter, and obtaining the parameter values of each target parameter, including: evaluating the cost per unit of energy storage according to the parameter values corresponding to the energy storage cost and the energy storage parameters respectively, and obtaining an evaluation result of the cost per unit of energy storage.

3. The method for evaluating the economy of an energy storage power station according to claim 1, characterized in that, after receiving the first input to the interaction interface, the method further includes: receiving a second input, the second input being used to select a first parameter from the plurality of parameters; taking the first parameter as a sensitivity factor, and performing sensitivity analysis based on the plurality of parameters and the parameter values corresponding to each parameter, and obtaining a sensitivity analysis result, the sensitivity analysis result being used to assist the user in judging the influence degree of the first parameter on the energy storage power station, and the sensitivity analysis result including at least one of the return on investment of the energy storage power station and the internal rate of return of the energy storage power station.

4. The method for evaluating the economy of an energy storage power station according to claim 1, characterized in that, after receiving the first input to the interaction interface, the method further includes: receiving a third input, the third input being used to input a boundary value of the return on investment of the energy storage power station, or a boundary value of the internal rate of return of the energy storage power station; performing boundary analysis according to the boundary value of the return on investment of the energy storage power station, or the boundary value of the internal rate of return of the energy storage power station, and according to the plurality of parameters and the parameter values corresponding to each parameter, obtaining a sensitivity curve and boundary points of the sensitivity curve, the sensitivity curve being used to assist the user in judging the influence degree of each parameter in the plurality of parameters on the energy storage power station; displaying the sensitivity curve and marking the boundary points on the sensitivity curve.

5. The method for evaluating the economy of an energy storage power station according to claim 1, characterized in that, the plurality of parameters include: loan parameters, energy storage cost, energy storage parameters and auxiliary parameters of the energy storage power station, and the auxiliary parameters include peak shaving compensation price, electricity purchase price and electricity selling price.

6. The method for evaluating the economy of an energy storage power station according to claim 1, characterized in that, The at least one target parameter further includes: the internal rate of return of the energy storage power station over its entire life cycle, the profit rate of the energy storage power station over its entire life cycle, the investment payback period, the total expenditure of the energy storage power station, the total income of the energy storage power station, the total profit of the energy storage power station, and the cost per kilowatt-hour of energy storage.

7. The method for evaluating the economy of an energy storage power station according to any one of claims 1-6, wherein, the display of each of the target parameters and the evaluation result of each of the target parameters includes: displaying the evaluation values of each of the target parameters corresponding to the current time in the first area of the pop-up window; displaying multiple groups of evaluation values of each target parameter during the entire life cycle of the energy storage power station in the second area of the pop-up window.

8. The method for evaluating the economy of an energy storage power station according to claim 7, wherein, after displaying multiple groups of evaluation values of each target parameter during the entire life cycle of the energy storage power station in the second area of the pop-up window, the method further includes: receiving a fourth input; exporting multiple groups of evaluation values of each target parameter during the entire life cycle of the energy storage power station to form an analysis report.

9. An apparatus for evaluating the economy of an energy storage power station, wherein, it includes: a first display module for displaying an interactive interface; a receiving module for receiving a first input to the interactive interface, the first input being used to determine an evaluation scenario, the evaluation scenario including multiple parameters and parameter values corresponding to each parameter; an evaluation module for evaluating at least one preset target parameter according to the multiple parameters and the parameter values corresponding to each parameter to obtain an evaluation result of each of the target parameters; a second display module for displaying each of the target parameters and the evaluation result of each of the target parameters.

10. A readable storage medium, wherein, programs or instructions are stored on the readable storage medium, and when the programs or instructions are executed by a processor, the steps of the method for evaluating the economy of an energy storage power station according to any one of claims 1 to 8 are implemented.

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