CN116415799B - Energy storage scale and structure planning method and system - Google Patents
Energy storage scale and structure planning method and system Download PDFInfo
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06313—Resource planning in a project environment
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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- G06Q50/06—Electricity, gas or water supply
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/28—Arrangements for balancing of the load in a network by storage of energy
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/10—Power transmission or distribution systems management focussing at grid-level, e.g. load flow analysis, node profile computation, meshed network optimisation, active network management or spinning reserve management
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Abstract
The application discloses a planning method and a planning system for energy storage scale and structure, wherein the method comprises the following steps: inputting value to replace related parameters; the relevant parameters include: annual load data, power installation data, energy storage parameters and value substitution related financial parameters; generating a power grid side energy storage substitution value calculation evaluation formula, and constructing an energy storage structure optimization model meeting substitution requirements; scanning different energy storage substitution peak load capacities to generate energy storage substitution value matrixes under different scales; and generating an energy storage scale and structure planning formula based on value substitution, and calculating to obtain the optimal investment scale of the energy storage at the power grid side. The method can calculate the optimal scale and structure of the power grid side energy storage based on the energy storage substitution value, provides decision reference for energy storage scale and structure planning, supports power grid side energy storage planning and development from the technical level, and has high application value.
Description
Technical Field
The application relates to the technical field of power systems, in particular to a planning method and a planning system for energy storage scale and structure.
Background
The instantaneous balance of power generation and power consumption is a fundamental constraint of operation of electric power systems, which is also the specificity of electric power commodities. With the great development of new energy sources such as photovoltaic and wind power and the increasing remarkable power electronization characteristics of a power system, the morphology of the power system has been changed deeply. Traditional power grid facilities and technologies are difficult to effectively meet the development requirements of clean low carbon, safety and high efficiency, and power grid development is urgent to need assistance of new technologies. Various energy storage technologies can change the electric power and electric quantity balance modes of the electric power system on different time scales, and can provide new solution ideas and effective technical supports for the consumption of large-scale new energy, the guarantee of safe, reliable and stable operation of the electric power system and the like.
In the prior art, most of researches are based on power system operation simulation to carry out evaluation planning, and the required power grid data is large in scale and difficult to acquire. Meanwhile, besides technical factors, economic factors are required to be considered in the long-term development of energy storage, various substitute values in the system are clarified, and the requirements of different types of energy storage in the novel power system can be more comprehensively evaluated. Therefore, there is a need to comprehensively consider the replacement value of energy storage from the technical and economic aspects, and consider the energy storage combinations of different time scales to form the optimal energy storage investment scale of the power grid side and the corresponding optimal energy storage investment combinations under different power and energy replacement demands.
Disclosure of Invention
The application aims to provide a planning method and a planning system for energy storage scale and structure, which are used for solving the problem that the investment scale of different types of energy storage is difficult to determine in the prior art.
The embodiment of the application is realized by the following technical scheme:
in a first aspect, the present application provides a method for planning an energy storage scale and a structure, including;
acquiring a value substitution parameter;
establishing a power grid side energy storage substitution value calculation evaluation formula, and constructing an energy storage structure optimization model meeting substitution requirements;
scanning different energy storage replacement peak load capacities to obtain energy storage replacement value matrixes under different scales;
and establishing an energy storage scale and structure planning formula based on value substitution, and calculating to obtain the energy storage investment scale of the power grid side through the energy storage scale and structure planning formula.
In one embodiment of the application, the value substitution parameters include annual load data, power installation data, energy storage parameters, and value substitution financial parameters.
In one embodiment of the application, the value substitution financial parameter comprises;
and respectively calculating to obtain the energy storage replacement power transmission and distribution investment, the energy storage replacement power generation investment, the energy storage replacement peak period power generation fuel cost and the energy storage frequency modulation standby value.
In an embodiment of the present application, the establishing a power grid side energy storage substitution value calculation evaluation formula includes;
and acquiring energy storage replacement power transmission and distribution investment, energy storage replacement power generation investment, energy storage replacement peak time power generation fuel cost and energy storage frequency modulation standby value, and calculating the sum of the four items.
In an embodiment of the present application, the constructing an energy storage structure optimization model that meets the replacement requirement includes;
acquiring energy storage cost of short duration and long duration;
acquiring a short-duration stored power capacity and a long-duration stored power capacity;
according to the energy storage cost and the energy storage power capacity of short duration and long duration, calculating and obtaining the total investment cost of energy storage;
in the method, in the process of the application,investment cost for energy storage->、/>Energy storage cost of short duration and long duration respectively, < ->、/>Respectively short duration, long duration stored power capacity.
In an embodiment of the application, the method further comprises constraint conditions of the energy storage structure optimization model, wherein the constraint conditions comprise meeting peak clipping load capacity constraint, meeting peak clipping load electric quantity constraint and energy storage construction capacity non-negative constraint.
In one embodiment of the application, the scanning for different stored energy instead of peak load capacities includes;
setting the scanning proportion of energy storage to replace peak load;
and scanning different energy storage replacing peak load capacities according to a certain step length.
In one embodiment of the present application, the generating the energy storage replacement value matrix at different scales includes;
acquiring the energy storage substitution peak load capacity corresponding to each scanning;
calculating energy storage capacity requirements and total energy storage investment cost based on an energy storage structure optimization model meeting replacement requirements;
calculating the energy storage replacement power transmission and distribution investment value, the energy storage replacement power generation investment value, the energy storage replacement peak period power generation fuel cost value and the energy storage frequency modulation standby value based on the power grid side energy storage replacement value evaluation model;
and then generating energy storage substitution value matrixes under different scales based on different energy storage capacities and corresponding substitution values thereof.
In an embodiment of the present application, the calculating to obtain the grid-side energy storage optimal investment scale includes;
acquiring energy storage substitution value matrixes under different scales;
calculating the energy storage marginal substitution value and the investment energy storage marginal cost of different investment capacities;
and when the investment energy storage marginal cost is the same as the energy storage marginal substitution value, obtaining the optimal investment scale.
In a second aspect, the present application provides a value substitution-based energy storage scale and structure planning apparatus, comprising;
the input module is used for acquiring the value substitution parameters;
the construction module is used for constructing a power grid side energy storage substitution value calculation evaluation formula according to the value substitution parameters and constructing an energy storage structure optimization model meeting substitution requirements;
the scanning module is used for scanning different energy storage substitution peak load capacities and generating energy storage substitution value matrixes under different scales;
and the solving module is used for establishing an energy storage scale and structure planning calculation formula based on the value substitution according to the energy storage substitution value matrix, and calculating the energy storage investment scale at the output power grid side.
The technical scheme of the embodiment of the application has at least the following advantages and beneficial effects:
the method provided by the application mainly comprises the steps of obtaining value substitution parameters; establishing a power grid side energy storage substitution value calculation evaluation formula, and constructing an energy storage structure optimization model meeting substitution requirements; and scanning different energy storage replacement peak load capacities, and calculating to obtain the energy storage investment scale of the power grid side through the energy storage scale and a structural planning formula. The method can quantitatively evaluate the value of energy storage through the investment and operation cost of energy storage replacing assets, namely transmission and distribution, and determine the energy storage investment scale and structure with better regional value through the comparison of the energy storage energy capacity requirement, the value and the cost, and provide decision references for energy storage scale and structure planning so as to assist in determining the final investment scale, thus being capable of matching proper investment scales for different regions.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the embodiments will be briefly described below, it being understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and other related drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic flow chart of the present application.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present application more apparent, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments of the present application. The components of the embodiments of the present application generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
The modules or sub-modules described separately may or may not be physically separate, may or may not be implemented in software, and may be implemented in part in software, where the processor invokes the software to implement the functions of the part of the modules or sub-modules, and where other parts of the templates or sub-modules are implemented in hardware, for example in hardware circuits. In addition, some or all of the modules can be selected according to actual needs to achieve the purpose of the scheme of the application.
Referring to fig. 1, the method for planning energy storage scale and structure provided by the present application mainly includes the following steps:
s101: a value substitution parameter is obtained.
Wherein the value substitution parameters include annual load data, power installation data, energy storage parameters, and value substitution financial parameters.
S102: and establishing a power grid side energy storage substitution value calculation evaluation formula, and constructing an energy storage structure optimization model meeting substitution requirements.
The energy storage replacement value at the power grid side refers to that energy storage can delay and replace investment of power transmission and distribution, traditional power supply investment and expensive unit power generation at peak load time by reducing peak load with shorter duration, and frequency modulation and reserve are provided for replacing the traditional power generation unit.
S103: and scanning different energy storage replacement peak load capacities to obtain energy storage replacement value matrixes under different scales.
S104: and establishing an energy storage scale and structure planning formula based on value substitution, and calculating to obtain the energy storage investment scale of the power grid side through the energy storage scale and structure planning formula.
In this embodiment, the annual load data is the annual power load forecast demand condition of the power system in each period.
The installed power source data may include installed capacity, installed capacity redundancy coefficient, etc. of the same type of power source (thermal power, hydroelectric power, nuclear power, wind power, photovoltaic, etc.).
The energy storage parameters can comprise energy storage operation parameters and economic parameters, and specifically comprise energy storage charging and discharging time, loss coefficient, annual cycle times, cycle life, operation and maintenance Fei Xianzhi, battery investment cost and the like.
The value substitution financial parameters comprise energy storage substitution power transmission and distribution investment, energy storage substitution power generation investment, energy storage substitution peak period power generation fuel cost and energy storage frequency modulation standby value which are calculated respectively, and specific required calculation data are as follows.
Including return on investment; calculating the quantity of substations of each voltage class required by the energy storage to replace the unit peak load required by the power transmission and distribution investment, the length of the power transmission line of each voltage class, the investment cost level of the construction of the substations and the lines, the operation and maintenance cost and the residual value of power transmission and distribution equipment and the like; calculating the investment recovery years of different types of power supplies required by energy storage to replace power generation investment, unit installation cost, annual unit operation and maintenance cost and the like; calculating peak-to-valley electricity prices required by energy storage to replace peak-to-peak electricity generation fuel cost, different types of power supply electricity generation fuel cost or electricity metering cost and the like; and calculating the frequency modulation capacity price, the frequency modulation energy price and the like required by the energy storage frequency modulation standby value.
In the embodiment, the energy storage replaces the power transmission and distribution investment, and the value calculation and evaluation method comprises the following steps: the energy storage reduces the peak load of unit capacity, and the total power transmission and transformation equipment investment required by the voltage class of 10kV to 500kV can be reduced. Firstly, according to the principle of a power grid planning technology, the quantity of 500kV, 2200kV and 110kV substations required by meeting unit peak load and the length of a power transmission line of each voltage class are determined, and the fixed investment of power transmission and distribution required by meeting unit peak load is determined according to the construction investment cost level of the substations and the lines. And secondly, the operation and maintenance cost and the residual value of the power transmission and distribution equipment are discounted and superimposed on the fixed investment to obtain the total investment of the power transmission and distribution equipment required by meeting the peak load of units. Finally, annual values meeting the peak load of units are calculated according to the total investment.
The annual energy storage power transmission and distribution investment replacement value is the product of energy storage power capacity and the power transmission and distribution cost meeting unit peak load, and the calculation formula is expressed as follows.
Wherein, the liquid crystal display device comprises a liquid crystal display device,substitute value for energy storage annual power transmission and distribution investment, < >>For energy storage power capacity, < >>The power transmission and distribution cost of unit peak load is met.
The value calculation and evaluation method of the energy storage alternative power generation investment comprises the following steps: the unit capacity cost of each unit is weighted and averaged according to the unit capacities of different types of coal-electricity and gas-fired units in the researched area, the fixed cost of power generation investment required by meeting unit peak load is obtained, the fixed operation cost such as operation maintenance cost in the operation period is discounted, and finally the annual value of power generation investment required by meeting unit peak load is calculated.
Energy storage annual power generation investment replacement valueThe calculation formula of (2) is shown below.
Wherein, the liquid crystal display device comprises a liquid crystal display device,for the installed redundancy ratio, +.>The investment for generating power per unit capacity.
The value calculation and evaluation method for the energy storage to replace the power generation fuel cost in the peak time is as follows: the energy storage is charged at the electricity consumption low-peak and discharged at the electricity consumption high-peak, which is equivalent to the utilization of cheap electric energy such as wind power, water power and the like in the load low-peak to replace electric energy with higher fuel cost such as coal power, gas power and the like required by meeting the peak load. The average electricity cost of coal electricity and gas electricity is subtracted by the average electricity cost of wind electricity and water electricity and the energy storage charge and discharge loss cost is subtracted, and the value of energy storage replacing the electricity generation fuel cost in the peak time is obtained.
Energy storage annual peak power generation fuel substitution valueThe calculation formula of (2) is shown below.
Wherein, the liquid crystal display device comprises a liquid crystal display device,for the number of energy storage years,>for energy storage capacity, +.>For fuel priceValues.
The energy storage frequency modulation reserve value is calculated and evaluated by the following steps: the energy storage has the characteristics of high response speed and flexible adjustment, can effectively track the random fluctuation of the output and the load of new energy sources, and the frequency modulation performance of the energy storage system such as a battery and the like even exceeds that of a conventional unit. Before the auxiliary service market operates, the value of the frequency modulation reserve provided by energy storage is measured according to the compensation standard of the auxiliary service 'two rules', and the value comprises a capacity value and a mileage value; and after the auxiliary service market is released, measuring the value of the energy storage for providing frequency modulation reserve according to the market price.
Energy storage annual frequency modulation reserve valueThe calculation formula of (2) is shown below.
In the method, in the process of the application,providing frequency modulation capacity time for energy storage years, +.>Price for frequency modulation capacity>Energy storage annual frequency modulation mileage->Is the price of frequency modulation capacity.
Specifically, the establishing a calculation and evaluation formula of the energy storage substitution value of the power grid side comprises the following steps of;
acquiring energy storage replacement power transmission and distribution investment, energy storage replacement power generation investment, energy storage replacement peak period power generation fuel cost and energy storage frequency modulation standby value, calculating the sum of the four items, and reducing the replacement value of corresponding peak load by using energy storage at the power grid sideThe sum of the four values is the sum of the four values.
Where the relationship between the power capacity (MW) and the energy capacity (MWh) of the stored energy is related to the peak load profile of the curtailment.
In this embodiment, the construction of the energy storage structure optimization model that meets the substitution requirement is specific;
the optimal combination of battery energy storage of different durations is mainly considered. Under the condition that the battery cost is the same, the lower the cost of the unit power capacity of the energy storage power station (short-duration energy storage) is, the higher the cost of the unit energy capacity is; the longer the charge and discharge time, the higher the cost of the energy storage power station (long-duration energy storage) per unit power capacity, and the lower the cost of the opposite unit energy capacity. Delay of transmission, transmission and distribution investment through grid-side energy storage requires peak load reduction from two dimensions of capacity and energy. According to different capacity and energy peak clipping requirements, an optimal combination of power type and long duration energy storage power stations needs to be determined to minimize the total energy storage investment.
Acquiring energy storage cost of short duration and long duration;
acquiring a short-duration stored power capacity and a long-duration stored power capacity;
according to the energy storage cost and the energy storage power capacity of short duration and long duration, calculating and obtaining the total investment cost of energy storage;
the objective function of the energy storage structure optimization model meeting the substitution requirement is as follows:
in the method, in the process of the application,investment cost for energy storage->、/>Energy storage cost of short duration and long duration respectively, < ->、/>Respectively short duration, long duration stored power capacity.
In this embodiment, the method further includes constraint conditions of the energy storage structure optimization model, where the constraint conditions include meeting peak clipping load capacity constraint, meeting peak clipping load electric quantity constraint, and energy storage construction capacity non-negative constraint.
The specific expression is:
1) Meeting peak clipping load capacity constraints
In the method, in the process of the application,for peak clipping capacity redundancy factor, < >>To cut peak load power.
2) Meeting peak clipping load electric quantity constraint
In the method, in the process of the application,、/>energy storage capacity of short duration, long duration, respectively, +.>For peak clipping electric quantity redundancy coefficient, < > for>To cut down the peak charge amount.
3) Non-negative constraint of energy storage construction capacity
In addition, the energy storage structure optimization model meeting the substitution requirement can determine the optimal power-type and long-duration energy storage configuration meeting the peak clipping requirement by solving the linear programming problem. The total energy storage investment scale of the system under the optimal configuration is the sum of the capacity of the power type and the long-duration energy storage, and the total investment cost is the sum of the investment costs of the two types of energy storage.
Scanning different energy storage replacing peak load capacities comprises setting an energy storage replacing peak load scanning proportion, and scanning the different energy storage replacing peak load capacities according to a certain step length.
In this embodiment, the generating the energy storage replacement value matrix at different scales includes;
acquiring the energy storage replacement peak load capacity corresponding to each scanning, calculating the energy storage capacity demand and the total energy storage investment cost based on an energy storage structure optimization model meeting replacement demands, calculating the energy storage replacement power transmission and distribution investment value, the energy storage replacement power generation investment value, the energy storage replacement peak period power generation fuel cost value and the energy storage frequency modulation standby value based on a power grid side energy storage replacement value evaluation model, further generating energy storage replacement value matrixes under different scales based on different energy storage capacities and corresponding replacement values thereof, and calculating the matrixes through mathematical software by the data.
In this embodiment, the calculating to obtain the grid-side energy storage optimal investment scale includes;
s201: acquiring energy storage substitution value matrixes under different scales;
s202: calculating the energy storage marginal substitution value and the investment energy storage marginal cost of different investment capacities;
s203: and when the investment energy storage marginal cost is the same as the energy storage marginal substitution value, obtaining the optimal investment scale.
Calculating to obtain the optimal investment scale of the energy storage at the power grid side, wherein the specific method comprises the following steps: net benefit of investment energy storage at a certain peak clipping capacityIs the difference between the replacement value of the stored energy and the total cost of the stored energy investment.
The optimal scale of energy storage at the power grid side is the energy storage investment capacity which maximizes the net benefit of energy storage. According to the principle of marginal substitution rate such as microecology, when the marginal substitution value of energy storage is equal to the marginal cost of energy storage investment, the energy storage investment reaches the optimal scale. Therefore, the energy storage optimal scale calculation method comprises the following steps: and calculating the marginal replacement value of the energy storage with different investment capacities based on the generated energy storage replacement value matrixes under different scales, and calculating the marginal cost of the investment energy storage, wherein the point at which the marginal cost of the energy storage investment is equal to the marginal replacement value of the energy storage is the optimal energy storage investment scale. The optimal scale of short-duration and long-duration energy storage under the scale is the optimal structure of power grid side energy storage.
The application also provides an energy storage scale and structure planning device based on value substitution, which comprises the following steps of;
the input module is used for acquiring the value substitution parameters;
the construction module is used for constructing a power grid side energy storage substitution value calculation evaluation formula according to the value substitution parameters and constructing an energy storage structure optimization model meeting substitution requirements;
the scanning module is used for scanning different energy storage substitution peak load capacities and generating energy storage substitution value matrixes under different scales;
and the solving module is used for establishing an energy storage scale and structure planning calculation formula based on the value substitution according to the energy storage substitution value matrix, and calculating the energy storage investment scale at the output power grid side.
In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. The computer software product is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods of the various embodiments of the application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-only memory (ROM), a random access memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The above is only a preferred embodiment of the present application, and is not intended to limit the present application, but various modifications and variations can be made to the present application by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the protection scope of the present application.
Claims (4)
1. The energy storage scale and structure planning method is characterized by comprising the following steps of;
acquiring a value substitution parameter;
establishing a calculation and evaluation formula of the energy storage replacement value of the power grid side, wherein the calculation and evaluation formula comprises the steps of acquiring energy storage replacement power transmission and distribution investment, energy storage replacement power generation investment, energy storage replacement peak time power generation fuel cost and energy storage frequency modulation standby value, and calculating the sum of the energy storage replacement power transmission and distribution investment, the energy storage replacement power generation investment, the energy storage replacement peak time power generation fuel cost and the energy storage frequency modulation standby value;
constructing an energy storage structure optimization model meeting substitution requirements; the method comprises the steps of acquiring energy storage cost with short duration and long duration; acquiring a short-duration stored power capacity and a long-duration stored power capacity; according to the energy storage cost and the energy storage power capacity of short duration and long duration, calculating and obtaining the total investment cost of energy storage;
obtaining objective function of energy storage structure optimization model meeting substitution requirement：
In the method, in the process of the application,investment cost for energy storage->、/>Energy storage cost of short duration and long duration respectively, < ->、/>Respectively storing energy power capacity for short duration and long duration;
scanning for different stored energy replacement peak load capacities, comprising: setting the scanning proportion of energy storage to replace peak load; scanning different energy storage replacing peak load capacities according to a certain step length;
obtaining energy storage substitution value matrixes under different scales, wherein the energy storage substitution peak load capacity corresponding to each scanning is obtained; calculating energy storage capacity requirements and total energy storage investment cost based on an energy storage structure optimization model meeting replacement requirements; calculating the energy storage replacement power transmission and distribution investment value, the energy storage replacement power generation investment value, the energy storage replacement peak period power generation fuel cost value and the energy storage frequency modulation standby value based on the power grid side energy storage replacement value evaluation model; generating energy storage substitution value matrixes under different scales based on different energy storage capacities and corresponding substitution values thereof;
establishing an energy storage scale and structure planning formula based on value substitution, wherein the energy storage scale and structure planning formula comprises the steps of obtaining energy storage substitution value matrixes under different scales, and calculating energy storage marginal substitution values of different investment capacities and investment energy storage marginal cost;
and calculating the energy storage investment scale of the power grid side according to the energy storage scale and the structure planning formula, and obtaining the optimal investment scale when the investment energy storage marginal cost is the same as the energy storage marginal substitution value.
2. A method of planning energy storage scale and structure according to claim 1 wherein the value substitution parameters include annual load data, power installation data, energy storage parameters and value substitution financial parameters.
3. The method for planning energy storage scale and structure according to claim 1, further comprising constraint conditions of an energy storage structure optimization model, wherein the constraint conditions comprise meeting peak clipping load capacity constraint, meeting peak clipping load electric quantity constraint and energy storage construction capacity non-negative constraint.
4. A system for planning energy storage scale and structure, comprising;
the input module is used for acquiring the value substitution parameters;
the construction module is used for establishing a power grid side energy storage replacement value calculation evaluation formula according to the value replacement parameters, and comprises the steps of obtaining energy storage replacement power transmission and distribution investment, energy storage replacement power generation investment, energy storage replacement peak time power generation fuel cost and energy storage frequency modulation standby value, and calculating the sum of the energy storage replacement power transmission and distribution investment, the energy storage replacement power generation investment, the energy storage replacement peak time power generation fuel cost and the energy storage frequency modulation standby value; constructing an energy storage structure optimization model meeting substitution requirements, wherein the energy storage structure optimization model comprises the steps of obtaining energy storage cost with short duration and long duration; acquiring a short-duration stored power capacity and a long-duration stored power capacity; according to the energy storage cost and the energy storage power capacity of short duration and long duration, calculating and obtaining the total investment cost of energy storage;
obtaining objective function of energy storage structure optimization model meeting substitution requirement：
In the method, in the process of the application,investment cost for energy storage->、/>Energy storage cost of short duration and long duration respectively, < ->、/>Respectively storing energy power capacity for short duration and long duration;
the scanning module is used for scanning different energy storage to replace peak load capacity and comprises: setting the scanning proportion of energy storage to replace peak load, and scanning different energy storage to replace peak load capacity according to a certain step length; generating energy storage substitution value matrixes under different scales, wherein the energy storage substitution peak load capacity corresponding to each scanning is obtained; calculating energy storage capacity requirements and total energy storage investment cost based on an energy storage structure optimization model meeting replacement requirements; calculating the energy storage replacement power transmission and distribution investment value, the energy storage replacement power generation investment value, the energy storage replacement peak period power generation fuel cost value and the energy storage frequency modulation standby value based on the power grid side energy storage replacement value evaluation model; generating energy storage substitution value matrixes under different scales based on different energy storage capacities and corresponding substitution values thereof;
the solving module is used for establishing an energy storage scale and structure planning calculation formula based on value substitution according to the energy storage substitution value matrix, and comprises the steps of obtaining the energy storage substitution value matrix under different scales, and calculating the energy storage marginal substitution values and the investment energy storage marginal cost of different investment capacities; and calculating the energy storage investment scale of the side of the output power grid, wherein when the investment energy storage marginal cost is the same as the energy storage marginal substitution value, the optimal investment scale is obtained.
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