CN114021993A - Energy storage strategy determination method and device, server and storage medium - Google Patents

Energy storage strategy determination method and device, server and storage medium Download PDF

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CN114021993A
CN114021993A CN202111316097.3A CN202111316097A CN114021993A CN 114021993 A CN114021993 A CN 114021993A CN 202111316097 A CN202111316097 A CN 202111316097A CN 114021993 A CN114021993 A CN 114021993A
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energy storage
storage mode
determining
information
information corresponding
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刘庭响
李春来
杨立滨
郑天文
李正曦
周万鹏
李志青
张海宁
张程云
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State Grid Qinghai Electric Power Co Clean Energy Development Research Institute
Sichuan Energy Internet Research Institute EIRI Tsinghua University
State Grid Qinghai Electric Power Co Ltd
Economic and Technological Research Institute of State Grid Qianghai Electric Power Co Ltd
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State Grid Qinghai Electric Power Co Clean Energy Development Research Institute
Sichuan Energy Internet Research Institute EIRI Tsinghua University
State Grid Qinghai Electric Power Co Ltd
Economic and Technological Research Institute of State Grid Qianghai Electric Power Co Ltd
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Abstract

The embodiment of the invention provides a method and a device for determining an energy storage strategy, a server and a storage medium, and relates to the technical field of energy storage. The method is applied to the server and comprises the following steps: and determining the use parameter information corresponding to each energy storage mode according to the target budget information, the scene data and the specification information of each energy storage mode, determining the construction cost information corresponding to the use parameter information, and finally determining the economic index information corresponding to each energy storage mode, wherein the economic index information is used for representing the income degree of the corresponding energy storage mode. And obtaining the energy storage score value corresponding to each energy storage mode according to the economic index information and the time expectation information corresponding to each energy storage mode. And selecting the energy storage mode corresponding to the highest value in the energy storage grade values corresponding to all the energy storage modes as a target energy storage mode. Based on the method, the energy storage mode with the best economic benefit in the time can be selected according to the time expectation, and the calculation efficiency is higher.

Description

Energy storage strategy determination method and device, server and storage medium
Technical Field
The invention relates to the technical field of energy storage, in particular to a method and a device for determining an energy storage strategy, a server and a storage medium.
Background
With the rapid development of national economy, the supply of traditional energy is increasingly tense. Environmental problems and energy safety problems caused by fossil energy consumption are increasingly prominent, and the increase of energy efficiency and the development of new energy have become necessary choices for the sustainable economic development of China. The new energy power generation has the characteristics of randomness, volatility, intermittence and the like, the problems of low resource utilization rate and safety and stability of a power system are further caused, and the battery energy storage has the capabilities of quick adjustment and electric energy space-time translation, and is one of effective means for solving the problem of new energy consumption.
At present, there are several energy storage methods available for battery energy storage, such as: the energy storage modes such as lithium batteries, lead-acid batteries and compressed air energy storage are adopted, but the calculation process of selecting the energy storage mode with the best economic benefit according to the investment cost is very complex, the total economic benefit of the energy storage mode can change along with the time, and in the prior art, the calculation and comparison are mainly carried out manually according to the specification information of various energy storage modes through past experience or under a preset application scene. Thus, the energy storage means identified by the prior art may not be economically optimal and may be computationally inefficient.
Disclosure of Invention
The invention aims to provide an energy storage strategy determination method, which can select an energy storage mode with the highest economic benefit at the time according to target budget, application scenarios and time expectation and improve the calculation efficiency.
Embodiments of the invention may be implemented as follows:
in a first aspect, an embodiment of the present invention provides an energy storage policy determining method, which is applied to a server, and the method includes:
determining use parameter information corresponding to each energy storage mode according to target budget information, scene data and specification information of each energy storage mode; the usage parameter information corresponds to the target budget information;
determining construction cost information corresponding to the use parameter information according to the use parameter information corresponding to each energy storage mode;
determining economic index information corresponding to each energy storage mode according to the use parameter information corresponding to each energy storage mode, the construction cost information corresponding to the use parameter information and scene data; the economic index information is used for representing the income degree of the corresponding energy storage mode;
obtaining energy storage score values corresponding to each energy storage mode according to the economic index information and time expectation information corresponding to each energy storage mode;
and selecting the energy storage mode corresponding to the highest value in the energy storage grade values corresponding to all the energy storage modes as a target energy storage mode.
Further, the step of obtaining the energy storage score value corresponding to each energy storage mode according to the economic index information and the time expectation information corresponding to each energy storage mode includes:
determining a weight coefficient corresponding to the economic index information corresponding to each energy storage mode according to the time expectation information;
and obtaining the energy storage score value corresponding to each energy storage mode according to the economic index information corresponding to each energy storage mode and the weight coefficient corresponding to the economic index information.
Further, the step of determining the usage parameter information corresponding to each energy storage mode according to the target budget, the scene data and the specification information of each energy storage mode includes:
determining the capacity corresponding to each energy storage mode according to the target budget, the scene data and the capacity cost corresponding to each energy storage mode;
determining the power corresponding to each energy storage mode according to the target budget, the scene data and the power cost corresponding to each energy storage mode;
determining the service life corresponding to each energy storage mode according to the cycle times corresponding to the scene data and each energy storage mode;
and taking the capacity, power and service life corresponding to each energy storage mode as the service parameter information corresponding to each energy storage mode.
Further, the scene data further includes current rate information, and the step of determining the economic index information corresponding to each energy storage mode according to the usage parameter information corresponding to each energy storage mode, the construction cost information corresponding to the usage parameter information, and the scene data includes:
determining the daily gain corresponding to each energy storage mode according to the power and the capacity corresponding to each energy storage mode;
determining a total life cycle net present value corresponding to each energy storage mode according to the daily gain, construction cost, operation life and the present rate information corresponding to each energy storage mode;
determining an investment recovery period corresponding to each energy storage mode according to the daily income, construction cost and discount rate information corresponding to each energy storage mode;
determining the internal yield corresponding to each energy storage mode according to the daily gain, construction cost and operation life of each energy storage mode;
and taking the daily gain, the net present value of the whole life cycle, the investment recovery period and the internal yield corresponding to each energy storage mode as the economic index information corresponding to each energy storage mode.
In a second aspect, an embodiment of the present invention provides an energy storage policy determining apparatus, which is applied to a server, and includes:
the acquisition module is used for acquiring target budget information, scene data, specification information of each energy storage mode and time expectation information;
the processing module is used for determining the use parameter information corresponding to each energy storage mode according to the target budget information, the scene data and the specification information of each energy storage mode; determining construction cost information corresponding to the use parameter information according to the use parameter information corresponding to each energy storage mode; determining economic index information corresponding to each energy storage mode according to the use parameter information corresponding to each energy storage mode, the construction cost information corresponding to the use parameter information and scene data; the economic index information is used for representing the income degree of the corresponding energy storage mode; acquiring an energy storage score value corresponding to each energy storage mode according to the economic index information corresponding to each energy storage mode; selecting an energy storage mode corresponding to the highest value in the energy storage grade values corresponding to all the energy storage modes as a target energy storage mode;
and the storage module is used for storing the energy storage score value corresponding to each energy storage mode.
Further, the acquiring module is further configured to acquire time expectation information, and the processing module is configured to acquire an energy storage score value corresponding to each energy storage mode according to economic index information corresponding to each energy storage mode, where the step includes:
determining a weight coefficient corresponding to the economic index information corresponding to each energy storage mode according to the time expectation information;
and obtaining the energy storage score value corresponding to each energy storage mode according to the economic index information corresponding to each energy storage mode and the weight coefficient corresponding to the economic index information.
Further, the specification information includes capacity cost, power cost and cycle number, and the step of determining, by the processing module, usage parameter information corresponding to each energy storage mode according to a target budget, scene data and specification information of each energy storage mode includes:
determining the capacity corresponding to each energy storage mode according to the target budget, the scene data and the capacity cost corresponding to each energy storage mode;
determining the power corresponding to each energy storage mode according to the target budget, the scene data and the power cost corresponding to each energy storage mode;
determining the service life corresponding to each energy storage mode according to the cycle times corresponding to the scene data and each energy storage mode;
and taking the capacity, power and service life corresponding to each energy storage mode as the service parameter information corresponding to each energy storage mode.
Further, the scene data further includes current rate information, and the processing module is configured to determine economic indicator information corresponding to each energy storage mode according to usage parameter information corresponding to each energy storage mode, construction cost information corresponding to the usage parameter information, and the scene data, and includes:
determining the daily gain corresponding to each energy storage mode according to the power and the capacity corresponding to each energy storage mode;
determining a total life cycle net present value corresponding to each energy storage mode according to the daily gain, construction cost, operation life and the present rate information corresponding to each energy storage mode;
determining an investment recovery period corresponding to each energy storage mode according to the daily income, construction cost and discount rate information corresponding to each energy storage mode;
determining the internal yield corresponding to each energy storage mode according to the daily gain, construction cost and operation life of each energy storage mode;
and taking the daily gain, the net present value of the whole life cycle, the investment recovery period and the internal yield corresponding to each energy storage mode as the economic index information corresponding to each energy storage mode.
In a third aspect, an embodiment of the present invention provides a server, including: a memory, a processor and a program stored on the memory and executable on the processor, the program when executed by the processor implementing the method according to the first aspect as described above.
In a fourth aspect, an embodiment of the present invention provides a storage medium, on which a computer program is stored, the computer program, when executed by a processor, performing the steps of the method according to the first aspect.
The beneficial effects of the embodiment of the invention include, for example: and determining economic index information according to the target budget information, the specification data of the energy storage mode and the scene data. And determining energy storage grade values corresponding to each energy storage mode according to the economic index information and the time expectation information corresponding to each energy storage mode, and finally selecting the energy storage mode with the highest energy storage grade value as a target energy storage mode. Therefore, according to the score value of each energy storage mode calculated by the server, the energy storage mode with the highest economic benefit under the corresponding condition is selected from the multiple energy storage modes. Compared with manual simple calculation, the calculation efficiency of the scheme is higher and more accurate.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
Fig. 1 is a schematic structural diagram of a server for determining an energy storage policy according to an embodiment of the present invention.
Fig. 2 is a schematic flow chart of a method for determining an energy storage mode according to an embodiment of the present invention.
Fig. 3 is a second flowchart of a method for determining an energy storage mode according to an embodiment of the present invention.
Fig. 4 is a third schematic flow chart of a method for determining an energy storage policy according to an embodiment of the present invention.
Fig. 5 is a fourth schematic flowchart of a method for determining an energy storage policy according to an embodiment of the present invention.
Fig. 6 is a schematic structural diagram of an energy storage policy determining apparatus according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures.
It should be noted that the features of the embodiments of the present invention may be combined with each other without conflict.
It should be explained that the energy storage mode is particularly various, such as: the energy storage modes of lithium batteries, lead-acid batteries, flow batteries, sodium-sulfur batteries, super capacitors, compressed air energy storage, pumped storage, superconducting magnetic energy storage and the like can be adopted, and the equipment of each energy storage mode has a plurality of different types, so that the selectable energy storage modes are very many, and great difficulty is caused in selection.
Therefore, the prior art is limited by various energy storage modes to be selected, complicated calculation of economic benefits and the like, and only can select a target energy storage mode according to past experience, for example, the energy storage mode with the largest use frequency in the industry is adopted as the target energy storage mode; or manually and simply calculating and comparing to select a target energy storage mode, such as: firstly, selecting several energy storage modes according to budget, then roughly calculating the economic benefits of the several energy storage modes from a single angle respectively, and determining a target energy storage mode according to the calculation result, wherein the mode enables the energy storage mode with the best economic benefit to be discharged or the selected energy storage mode is not the best economic benefit, and the calculation efficiency is poor only through manual calculation.
And the inventor finds that under the condition of the same budget, the total economic benefits of various energy storage modes can change along with the change of time, such as: in a certain time period, the energy storage mode of the lithium battery is the mode that the total economic benefit is obtained from all the energy storage modes, and in another time period, the energy storage mode of the lead-acid battery is possible to be the mode that the total economic benefit is obtained from all the energy storage modes. In the prior art, during calculation, calculation comparison is performed only according to specification information of various energy storage modes to obtain a target energy storage mode, and the requirement of investors on the profitability period of a project is not considered. Thus, the targeted energy storage means selected by the prior art may not be economically efficient within the investor's cycle requirements.
Based on this, the embodiment of the present invention provides a server for determining an energy storage policy. The server may have a data interface capable of communicating with an external system to thereby acquire externally input information. The server may further have a component capable of calculating usage parameter information, economic indicator information, and the like, for example, a Central Processing Unit (CPU), so as to execute the energy storage policy determination method provided in this embodiment.
Fig. 1 is a schematic structural diagram of a server 100 for determining an energy storage policy according to an embodiment of the present invention. The server 100 comprises an energy storage policy determining means 110, a memory 120, a processor 130 and a communication unit 140.
The memory 120, processor 130, and communication unit 140 are electrically connected to each other directly or indirectly to enable data transmission or interaction. For example, the components may be electrically connected to each other via one or more communication buses or signal lines. The energy storage policy determining device 110 includes at least one software functional module which can be stored in the memory 120 in the form of software or Firmware (Firmware) or solidified in an Operating System (OS) of the server 100. The processor 130 is configured to execute executable modules stored in the memory 120, such as software functional modules and computer programs included in the energy storage policy determining apparatus 110. The computer executable instructions in the energy storage policy determination apparatus 110, when executed by a processor, implement energy storage policy determination.
The Memory 120 may be, but is not limited to, a Random Access Memory (RAM), a Read Only Memory (ROM), a Programmable Read-Only Memory (PROM), an Erasable Read-Only Memory (EPROM), an electrically Erasable Read-Only Memory (EEPROM), and the like. The memory 120 is used for storing a program, and the processor 130 executes the program after receiving the execution instruction. The communication unit 140 is used for transceiving data.
The processor 130 may be an integrated circuit chip having signal processing capabilities. The processor may be a general-purpose processor, and includes a Central Processing Unit (CPU), a Network Processor (NP), and the like; but may also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other programmable logic device, discrete gate or transistor logic device, discrete hardware components. The various methods, steps, and logic blocks disclosed in the embodiments of the present application may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The embodiment of the invention provides an energy storage strategy determination method which is applied to the server, can select an energy storage mode with the highest total economic benefit within the time expectation of an investor, and improves the calculation efficiency. Fig. 2 is a schematic flowchart of a method for determining an energy storage policy according to an embodiment of the present invention, where as shown in fig. 2, the method includes:
and S101, determining the use parameter information corresponding to each energy storage mode according to the target budget information, the scene data and the specification information of each energy storage mode.
Wherein the usage parameter information corresponds to the target budget information.
And S102, determining construction cost information corresponding to the use parameter information according to the use parameter information corresponding to each energy storage mode.
And S103, determining economic index information corresponding to each energy storage mode according to the use parameter information corresponding to each energy storage mode, the construction cost information corresponding to the use parameter information and the scene data.
And the economic index information is used for representing the income degree of the corresponding energy storage mode.
And S104, obtaining energy storage grade values corresponding to each energy storage mode according to the economic index information and the time expectation information corresponding to each energy storage mode.
And S105, selecting the energy storage mode corresponding to the highest value in the energy storage grade values corresponding to all the energy storage modes as a target energy storage mode.
According to the scheme, under the condition that the time expectation information of the investor is obtained, the energy storage grade value of each energy storage mode is determined according to the obtained target budget information, the obtained scene data and the obtained specification information of each energy storage mode, so that the energy storage mode with the highest energy storage grade value is selected as the target energy storage mode, namely the energy storage mode with the highest economic benefit in the time is determined, and the requirement of the investor for selecting the best economic benefit in practical application is met.
Therefore, the method is applied to the server instead of manual calculation, so that the target energy storage mode is determined by the server, and the calculation efficiency is improved.
With continued reference to fig. 2, in step S101, in an implementation manner, the target budget information is obtained by external input, and the scene data and the specification information of each energy storage mode may be pre-stored in the server in advance or obtained by input.
In step S102, in one implementation, the construction cost can be obtained according to the following formula:
Cinv＝Cp·Pbess+CE·Ebess
wherein, CinvTo build cost, CpTo power cost, CETo capacity cost, PbessTo use the power in the parameter information, EbessTo use the capacity in the parameter information.
It should be explained that, the operation and maintenance cost is also included in addition to the construction cost, and the operation and maintenance cost can be taken into consideration according to the actual application condition to determine the subsequent economic index information.
The specification information of each energy storage mode comprises capacity cost, power cost and cycle number, and as multiple factors jointly determine the use parameter information of each energy storage mode, the explanation is needed to determine the use parameter information corresponding to each energy storage mode through multiple factors. Fig. 3 is a second schematic flowchart of a method for determining an energy storage policy according to an embodiment of the present invention, as shown in fig. 3. The method comprises the following steps of determining the use parameter information corresponding to each energy storage mode according to a target budget, scene data and specification information of each energy storage mode, wherein the steps comprise:
step S101a, determining the capacity corresponding to each energy storage mode according to the target budget, the scene data and the capacity cost corresponding to each energy storage mode;
step S101b, determining power corresponding to each energy storage mode according to the target budget, the scene data and the power cost corresponding to each energy storage mode;
step S101c, determining the service life corresponding to each energy storage mode according to the scene data and the cycle number corresponding to each energy storage mode;
and S101d, taking the capacity, power and service life corresponding to each energy storage mode as the service parameter information corresponding to each energy storage mode.
In an implementation manner, the specification information of each energy storage mode may be pre-stored in the server, or the latest specification information of each energy storage mode may be input according to the latest dynamics of the market to determine the usage parameter information corresponding to each subsequent energy storage mode, that is, how to configure the capacity, power and service life of each energy storage mode, so as to determine the economic index information corresponding to each subsequent energy storage mode.
The scene data comprises power grid characteristics of energy storage operation, electricity price, scheduling instructions, conforming curves and the like, and the scene data can be determined according to specific application scenes.
It should be explained that there are many methods described in the prior art, how to determine the usage parameter information of each energy storage manner according to the target budget, the scene data, and the specification information of each energy storage manner, and therefore, the method for determining the usage parameter information is not described.
The determination of the use parameter information is to determine subsequent economic index information, because the difference of the use parameter information of the energy storage mode affects the operation strategy corresponding to the energy storage mode, the operation strategy can uniquely determine the daily gain in the economic index information, and other economic index information can be determined through the daily gain. Fig. 4 is a third schematic flow chart of a method for determining an energy storage policy according to an embodiment of the present invention. As shown in fig. 4, the scene data further includes the presence information. The method comprises the following steps of determining economic index information corresponding to each energy storage mode according to use parameter information corresponding to each energy storage mode, construction cost information corresponding to the use parameter information and scene data, wherein the steps comprise:
step S103a, determining the daily gain corresponding to each energy storage mode according to the power and capacity corresponding to each energy storage mode;
step S103b, determining a net present value of the full life cycle corresponding to each energy storage mode according to daily income, construction cost, operation life and present rate information corresponding to each energy storage mode;
step S103c, determining an investment recovery period corresponding to each energy storage mode according to daily income, construction cost and discount rate information corresponding to each energy storage mode;
step S103d, determining the internal yield corresponding to each energy storage mode according to the daily yield, construction cost and operation life of each energy storage mode;
and S103e, taking the daily gain, the net present value of the whole life cycle, the investment recovery period and the internal yield corresponding to each energy storage mode as the economic index information corresponding to each energy storage mode.
And determining daily gain, total life cycle net present value, investment recovery period and internal yield corresponding to each energy storage mode according to the use parameter information corresponding to each energy storage mode, the construction cost information corresponding to the use parameter information and the scene data. Therefore, the scoring value of the energy storage mode in step S104 can be determined jointly by multiple economic index information, that is, jointly determined according to the multidimensional data, so that the energy storage mode with the highest scoring value finally selected by the scheme is more suitable compared with the calculation of single-dimensional data in the prior art. In addition, the scheme is operated by the server instead of manual calculation, and the calculation efficiency is better.
With continued reference to fig. 2, in step S103a, in one implementation, the daily gain corresponding to each energy storage mode is determined according to the power and capacity corresponding to the energy storage mode. The calculation mode of the daily income is also related to factors such as scenes, electricity price and the like. It should be noted that there are many methods for determining the daily gain in the prior art, and the method in the prior art can be referred to determine the daily gain of the scheme, and therefore, the description is omitted.
In step S103b, in one implementation, the net present value of the net worth period, the investment recovery period, and the internal rate of return can be calculated by the following formulas:
Figure BDA0003343731060000111
Figure BDA0003343731060000112
Figure BDA0003343731060000113
wherein NPV is the net present value of the full life cycle, IdailyFor daily gain, CinvFor construction cost information, n is service life, r is discount rate information, Pt is investment recovery period, and IRR is internal yield.
Because the energy storage modes have multiple types and the economic index information corresponding to each energy storage mode also has multiple types, how to obtain the energy storage scoring value corresponding to each energy storage mode needs to be explained. Fig. 5 is a fourth schematic flowchart of a method for determining an energy storage policy according to an embodiment of the present invention, as shown in fig. 5. The method comprises the following steps of obtaining energy storage score values corresponding to each energy storage mode according to economic index information and time expectation information corresponding to each energy storage mode, wherein the steps comprise:
step S104a, determining a weight coefficient corresponding to the economic index information corresponding to each energy storage mode according to the time expectation information;
and step S104b, obtaining the energy storage score value corresponding to each energy storage mode according to the economic index information corresponding to each energy storage mode and the weight coefficient corresponding to the economic index information.
In one implementation, weight coefficients corresponding to daily gain, net present value of the full life cycle, investment recovery period, and internal rate of return are calculated, respectively, according to the obtained time expectation information. Then, various economic index information corresponding to a certain energy storage mode is multiplied by the corresponding weight coefficients and then added to obtain the energy storage score value corresponding to the energy storage mode. Accordingly, other energy storage modes are obtained by the calculation mode. Namely, the determination of the energy storage score value can be calculated by the following formula:
S＝A(x)Idaily+B(x)NPV+C(x)Pt+D(x)IRR
wherein S is the energy storage score value, A (x) is the weight coefficient corresponding to the daily gain, IdailyFor daily gain, B (x) is the weighting factor corresponding to the net present value of the full life cycle, NPV is the net present value of the full life cycle, C (x) is the weighting factor corresponding to the return on investment, Pt is the return on investment, D (x) is the weighting factor corresponding to the internal rate of return, and IRR is the internal rate of return.
For ease of understanding, an example will be described. Such as: the investor wants to obtain the best economic benefit within 1 year, the obtained time expectation is 1, according to the weight coefficient calculation function corresponding to each economic index information prestored in the server, the weight coefficient corresponding to the daily gain is 11.35, the weight coefficient corresponding to the net present value of the whole life cycle is 0.125, the weight coefficient corresponding to the investment recovery period is 5, and the weight coefficient corresponding to the internal rate of return is 1. And multiplying the economic index information corresponding to each battery determined in the step S103 by the weight coefficient corresponding to the economic index information, and adding the multiplication result, namely, each energy storage mode is calculated according to the formula, so that the energy storage score value corresponding to each energy storage mode can be obtained.
In one implementation, the time expectation information may be set based on the expected age of the investor, or may be set based on a short-term, medium-term, or long-term pattern selected by the investor.
The inventor finds that in practical application, the value range of the time expectation information corresponding to the short-term mode can be 0.5-2, the value range of the time expectation information corresponding to the medium-term mode can be 2-8, and the value range corresponding to the long-term mode can be the service life of the corresponding energy storage mode. In practical application, the time expectation information corresponding to each mode can be preset in the server, so that each mode has corresponding time expectation information.
In one implementation, a polynomial function for calculating a weight coefficient corresponding to the economic indicator information is pre-stored in the server. The setting of the polynomial function can be set according to practical application, as long as the functions of the weight coefficients of daily income, investment recovery period and internal rate of return are calculated and satisfy the decreasing relation, and the functions of the weight coefficients of the net present value of the total life cycle satisfy the monotonous increasing relation.
Further, the weight coefficient corresponding to the calculated economic indicator information also needs to be satisfied, the calculation results of the daily gain, the net present value of the whole life cycle and the internal rate of return are positive numbers, and the calculation result of the investment recovery period is negative numbers.
To facilitate the understanding of the process of the present invention, the whole process of the process will be illustrated below. It should be noted that the numbers in the following examples do not represent such in practical applications, but are merely for convenience of description.
The total investment of an investor planning to store energy in a certain place is 500 ten thousand yuan, and one energy storage mode is selected from a lead-acid battery A, a lithium battery B and a lithium battery C for engineering construction. Investors expect the energy storage system to gain revenue relatively quickly, and preferably achieve substantial returns in the first three years, thus setting a time expectation of 3 years. The cycle number, the capacity cost and the power cost of the lead-acid battery A are respectively 1500 times, 500 yuan/kWh and 500 yuan/kW; the cycle number, the capacity cost and the power cost of the lithium battery B are 2500 times, 1500 yuan/kWh and 1000 yuan/kW respectively; the cycle number, capacity cost and power cost of the lithium battery C are 3500 times, 2000 yuan/kWh and 2000 yuan/kW respectively.
According to the application scene, determining that the service life information, the capacity and the power of the lead-acid battery A are respectively 4.1 years, 5000/kWh and 5000/kW; the service life information, the capacity and the power of the lithium battery B are respectively 6.8 years, 2000/kWh and 2000/kW; the service life information, capacity and power of the lithium battery C were 9.6 years, 1250/kWh and 1250/kW, respectively. Therefore, the daily gain, the net present value of the whole life cycle, the investment recovery period and the internal yield of the lead-acid battery A are respectively 5000 yuan, 280 ten thousand yuan, 2.5 years and 0.04, the daily gain, the net present value of the whole life cycle, the investment recovery period and the internal yield of the lithium battery B are respectively 3000 yuan, 400 thousand yuan, 5 years and 0.045, and the daily gain of the lithium battery C is 2500 yuan, 450 thousand yuan, 8 years and 0.05.
According to the acquired 3-year time expectation, the weighting coefficients of the day income, the net present value of the whole life cycle, the investment recovery period and the internal rate of return are 89, 0.01045, -9 and 0.754.
And the grading values of the energy storage modes of the lead-acid battery A, the lithium battery B and the lithium battery C are 474240, 308760 and 269450 respectively. Therefore, the lead-acid battery A is the target energy storage mode, namely the energy storage mode with the best economic benefit within the time expectation, can be known in an intuitive mode.
In summary, according to the method provided by the embodiment of the invention, the energy storage mode with the best economic benefit within the time can be selected according to the time expectation of the investor and the relevant information of each other energy storage mode so as to meet the requirements of the investor. And also takes various influence factors into consideration to adapt to actual application scenes.
Fig. 6 is a schematic structural diagram of an energy storage policy determining apparatus according to an embodiment of the present invention, the basic principle and the generated technical effect of the apparatus are the same as those of the foregoing corresponding method embodiment, and for brief description, reference may be made to corresponding contents in the method embodiment for parts not mentioned in this embodiment. As shown in fig. 6, the apparatus is applied to a server, and includes an obtaining module 101, a processing module 102, and a storage module 103.
The obtaining module 101 is configured to obtain target budget information, scene data, specification information of each energy storage mode, and a time expectation.
The processing module 102 is configured to determine, according to the target budget information, the scene data, and the specification information of each energy storage manner, usage parameter information corresponding to each energy storage manner; determining construction cost information corresponding to the use parameter information according to the use parameter information corresponding to each energy storage mode; determining economic index information corresponding to each energy storage mode according to the use parameter information corresponding to each energy storage mode, the construction cost information corresponding to the use parameter information and the scene data; the economic index information is used for representing the income degree of the corresponding energy storage mode; acquiring an energy storage score value corresponding to each energy storage mode according to the economic index information corresponding to each energy storage mode; and selecting the energy storage mode corresponding to the highest value in the energy storage grade values corresponding to all the energy storage modes as a target energy storage mode.
In one implementation, the method is used for calculating the capacity, the power and the service life of the use parameter information corresponding to each energy storage mode, and the daily gain, the net present value of the full life cycle, the investment recovery period and the internal yield of the economic index information corresponding to each energy storage mode.
In one implementation, each economic indicator information is calculated separately under a determined time expectation.
The storage module 103 is configured to store the energy storage score value corresponding to each energy storage mode.
In one implementation, the weight coefficient is used for storing the usage parameter information, the construction cost information, and the economic indicator information corresponding to each determined energy storage manner in steps S101 to S103, and the economic indicator information corresponding to the economic indicator information under the determined time expectation.
In one implementation, the calculation methods used to store steps S101 to S104, and some preset data, such as: scene data and specification information of each energy storage mode.
In one implementation, the present application further provides a storage medium having a computer program stored thereon, which when executed by a processor performs the steps of the above method embodiment.
In summary, embodiments of the present invention provide an energy storage policy determining method, an energy storage policy determining apparatus, a server, and a storage medium, which can determine a score of each energy storage manner within a certain time period through the server, so as to select an energy storage manner with the best economic benefit. And the adopted dimensionality is more, so that the selected energy storage mode is more appropriate and reasonable compared with the energy storage mode selected in the prior art.
The above description is only for the specific embodiment of the present invention, but the scope of the present invention is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present invention are included in the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the appended claims.

Claims (10)

1. An energy storage strategy determination method is applied to a server, and comprises the following steps:
determining use parameter information corresponding to each energy storage mode according to target budget information, scene data and specification information of each energy storage mode; the usage parameter information corresponds to the target budget information;
determining construction cost information corresponding to the use parameter information according to the use parameter information corresponding to each energy storage mode;
determining economic index information corresponding to each energy storage mode according to the use parameter information corresponding to each energy storage mode, the construction cost information corresponding to the use parameter information and scene data; the economic index information is used for representing the income degree of the corresponding energy storage mode;
obtaining energy storage score values corresponding to each energy storage mode according to the economic index information and time expectation information corresponding to each energy storage mode;
and selecting the energy storage mode corresponding to the highest value in the energy storage grade values corresponding to all the energy storage modes as a target energy storage mode.
2. The method according to claim 1, wherein the step of obtaining the energy storage score value corresponding to each energy storage mode according to the economic index information and the time expectation information corresponding to each energy storage mode comprises:
determining a weight coefficient corresponding to the economic index information corresponding to each energy storage mode according to the time expectation information;
and obtaining the energy storage score value corresponding to each energy storage mode according to the economic index information corresponding to each energy storage mode and the weight coefficient corresponding to the economic index information.
3. The method according to claim 1, wherein the specification information includes capacity cost, power cost, and cycle number, and the step of determining the usage parameter information corresponding to each energy storage manner according to the target budget, the scene data, and the specification information of each energy storage manner includes:
determining the capacity corresponding to each energy storage mode according to the target budget, the scene data and the capacity cost corresponding to each energy storage mode;
determining the power corresponding to each energy storage mode according to the target budget, the scene data and the power cost corresponding to each energy storage mode;
determining the service life corresponding to each energy storage mode according to the cycle times corresponding to the scene data and each energy storage mode;
and taking the capacity, power and service life corresponding to each energy storage mode as the service parameter information corresponding to each energy storage mode.
4. The method according to claim 3, wherein the scene data further includes current rate information, and the step of determining the economic indicator information corresponding to each energy storage mode according to the usage parameter information corresponding to each energy storage mode, the construction cost information corresponding to the usage parameter information, and the scene data includes:
determining the daily gain corresponding to each energy storage mode according to the power and the capacity corresponding to each energy storage mode;
determining a total life cycle net present value corresponding to each energy storage mode according to the daily gain, construction cost, operation life and the present rate information corresponding to each energy storage mode;
determining an investment recovery period corresponding to each energy storage mode according to the daily income, construction cost and discount rate information corresponding to each energy storage mode;
determining the internal yield corresponding to each energy storage mode according to the daily gain, construction cost and operation life of each energy storage mode;
and taking the daily gain, the net present value of the whole life cycle, the investment recovery period and the internal yield corresponding to each energy storage mode as the economic index information corresponding to each energy storage mode.
5. An energy storage strategy determination device applied to a server comprises:
the acquisition module is used for acquiring target budget information, scene data, specification information of each energy storage mode and time expectation information;
the processing module is used for determining the use parameter information corresponding to each energy storage mode according to the target budget information, the scene data and the specification information of each energy storage mode; determining construction cost information corresponding to the use parameter information according to the use parameter information corresponding to each energy storage mode; determining economic index information corresponding to each energy storage mode according to the use parameter information corresponding to each energy storage mode, the construction cost information corresponding to the use parameter information and scene data; the economic index information is used for representing the income degree of the corresponding energy storage mode; acquiring an energy storage score value corresponding to each energy storage mode according to the economic index information corresponding to each energy storage mode; selecting an energy storage mode corresponding to the highest value in the energy storage grade values corresponding to all the energy storage modes as a target energy storage mode;
and the storage module is used for storing the energy storage score value corresponding to each energy storage mode.
6. The device according to claim 5, wherein the obtaining module is further configured to obtain time expectation information, and the processing module is configured to obtain the energy storage score value corresponding to each energy storage mode according to the economic indicator information corresponding to each energy storage mode, and includes:
determining a weight coefficient corresponding to the economic index information corresponding to each energy storage mode according to the time expectation information;
and obtaining the energy storage score value corresponding to each energy storage mode according to the economic index information corresponding to each energy storage mode and the weight coefficient corresponding to the economic index information.
7. The apparatus according to claim 5, wherein the specification information includes a capacity cost, a power cost, and a cycle number, and the step of determining, by the processing module, the usage parameter information corresponding to each energy storage manner according to the target budget, the scene data, and the specification information of each energy storage manner includes:
determining the capacity corresponding to each energy storage mode according to the target budget, the scene data and the capacity cost corresponding to each energy storage mode;
determining the power corresponding to each energy storage mode according to the target budget, the scene data and the power cost corresponding to each energy storage mode;
determining the service life corresponding to each energy storage mode according to the cycle times corresponding to the scene data and each energy storage mode;
and taking the capacity, power and service life corresponding to each energy storage mode as the service parameter information corresponding to each energy storage mode.
8. The apparatus according to claim 7, wherein the scene data further includes current-of-appearance rate information, and the processing module is configured to determine, according to usage parameter information corresponding to each energy storage manner, construction cost information corresponding to the usage parameter information, and the scene data, economic indicator information corresponding to each energy storage manner, and includes:
determining the daily gain corresponding to each energy storage mode according to the power and the capacity corresponding to each energy storage mode;
determining a total life cycle net present value corresponding to each energy storage mode according to the daily gain, construction cost, operation life and the present rate information corresponding to each energy storage mode;
determining an investment recovery period corresponding to each energy storage mode according to the daily income, construction cost and discount rate information corresponding to each energy storage mode;
determining the internal yield corresponding to each energy storage mode according to the daily gain, construction cost and operation life of each energy storage mode;
and taking the daily gain, the net present value of the whole life cycle, the investment recovery period and the internal yield corresponding to each energy storage mode as the economic index information corresponding to each energy storage mode.
9. A server, comprising: memory, processor and program stored on the memory and executable on the processor, which when executed by the processor implements the method of any one of claims 1 to 4.
10. A storage medium, having stored thereon a computer program which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 4.
CN202111316097.3A 2021-11-08 2021-11-08 Energy storage strategy determination method and device, server and storage medium Pending CN114021993A (en)

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