A user-side energy storage site selection and capacity determination method and device for improving power grid flexibility

Abstract

The present application provides a method and device for selecting the site and sizing the user-side energy storage for improving the flexibility of the power grid, the method comprising: dividing the target area into a number of user-side power consumption areas, and screening out areas with poor power consumption. Determine a plurality of power consumption nodes in the area with poor power consumption, and screen out voltage-frequency bumps and concave points according to the voltage-frequency offset degree and power consumption change on the nodes. Obtain the power offset of the area with poor power consumption. Establish an objective function based on the voltage-frequency bumps and concave points and the power offset to obtain a geographical location fixed-point model of the energy storage device. Establish an energy storage capacity configuration model based on the power offset. Select the site and size the energy storage power station based on the geographical location fixed-point model of the energy storage device and the energy storage capacity configuration model. Using the method provided in the present application to configure and use user-side energy storage can not only bring considerable economic benefits, but also alleviate the peak-shaving and frequency regulation pressure of the power grid to a certain extent, thereby improving the flexibility of the power grid.

Description

Technical Field

[0001] The present application belongs to the technical field of power grid construction, and specifically, relates to a method and device for selecting a site and determining a capacity of user-side energy storage for improving the flexibility of a power grid. Background Art

[0002] More and more regions have begun to invest a lot of energy in developing a series of green new energy to replace traditional disposable energy such as coal and oil. In the process of developing new energy, the most widely used is to use new energy to generate electricity. This power generation method is cleaner than traditional thermal power generation, and does not have to deal with the problems of dry season and flood season faced by traditional hydropower generation. However, as more and more new energy sources are incorporated into the power grid, the uncertainty of new energy power generation itself is also brought into the power grid, making the entire power generation system more complicated and unpredictable. In this case, a large part of the traditional thermal power units and hydropower units that should have been shut down for energy saving still need to be in hot standby state in case of emergency. This not only fails to save energy but also increases the wear of the units, which runs counter to the original intention of developing new energy.

[0003] In view of this situation, many researchers began to seek solutions from the grid side. In this process, they continuously optimized the operation and dispatching mechanism of the power system, and developed energy storage power stations for the massive electricity consumption in Jiangsu and other regions. However, this solution from the grid side, although it meets the overall power demand to a certain extent, is extremely costly. Secondly, it can control the overall stability of the power system for a certain period of time, but it is difficult to cope with the load oscillation caused by the sudden connection and disconnection of some local loads. This poses a serious challenge to the voltage and frequency regulation of the power grid and greatly suppresses the flexibility of the grid operation. Therefore, in order to reduce the pressure of voltage and frequency regulation of the power grid and improve the flexibility of the grid operation, some researchers have begun to focus on the user side, using the installation of energy storage on the user side to achieve local voltage and frequency stability. However, there is still a lot of room for improvement in how to install and plan energy storage on the user side, which requires further research and discussion. Summary of the invention

[0004] The present application provides a method and device for selecting a user-side energy storage site and determining the capacity for improving the flexibility of a power grid, so as to at least solve the problems existing in the background technology.

[0005] According to a first aspect of the present application, a method for selecting a user-side energy storage site and determining the capacity for improving the flexibility of a power grid is provided, comprising:

[0006] Divide the target area into a plurality of user-side power consumption areas, and screen out areas with poor power consumption from the plurality of user-side power consumption areas according to power load;

[0007] Determine a plurality of power consumption nodes in the area with poor power consumption, and select voltage-frequency concave and convex points according to the voltage-frequency deviation degree and power consumption change on the nodes;

[0008] Obtaining the power offset of the area with poor power consumption;

[0009] Establishing an objective function according to the voltage-frequency concave and convex points and the electric quantity offset to obtain a geographical location fixed-point model of the energy storage device;

[0010] Establishing an energy storage capacity configuration model according to the power offset;

[0011] The site selection and capacity determination of the energy storage power station are performed according to the energy storage device geographical location fixed point model and the energy storage capacity configuration model.

[0012] In one embodiment, screening out a poor power consumption area from a plurality of user-side power consumption areas according to the power load includes:

[0013] Obtaining a user-side power load curve and a power generation curve of a power generation side in the area with poor power consumption within the same power consumption cycle;

[0014] The similarity between the user-side power load curve and the power generation curve on the power generation side is calculated, and the area with poor power consumption is determined according to the similarity.

[0015] In one embodiment, the step of selecting voltage-frequency concave and convex points according to the voltage-frequency deviation degree and power consumption change at the node includes:

[0016] Calculate the voltage-frequency deviation degree of each power consumption node;

[0017] The voltage-frequency concave-convex point is determined according to the voltage-frequency deviation degree.

[0018] In one embodiment, obtaining the power offset of the area with poor power usage includes:

[0019] Divide the area with poor power consumption into several time periods, and then calculate the power consumption of the poor area in each time period;

[0020] Divide the power consumption curve of the power generation side into several time periods, and then calculate the power consumption in each time period;

[0021] The power offset of the area with poor power consumption is obtained by calculating the power consumption of the area with poor power consumption and the power consumption of the power generation side.

[0022] According to a second aspect of the present application, a user-side energy storage site selection and capacity determination device for improving power grid flexibility is also provided, including:

[0023] A poor power consumption area screening unit is used to divide the target area into a plurality of user-side power consumption areas, and screen out the poor power consumption area from the plurality of user-side power consumption areas according to the power load;

[0024] A concave-convex point determination unit is used to determine a plurality of power consumption nodes in the area with poor power consumption, and screen out voltage-frequency concave-convex points according to the voltage-frequency deviation degree and power consumption change on the nodes;

[0025] An electric quantity offset obtaining unit, used for obtaining the electric quantity offset of the area with poor power consumption;

[0026] A first modeling unit, used for establishing an objective function according to the voltage-frequency concave-convex point and the electric quantity offset to obtain a geographical location fixed-point model of an energy storage device;

[0027] A second modeling unit, used to establish an energy storage capacity configuration model according to the power offset;

[0028] A site selection and capacity determination unit is used to select a site and determine the capacity of an energy storage power station according to the energy storage device geographical location fixed point model and the energy storage capacity configuration model.

[0029] In one embodiment, the poor power consumption area screening unit includes:

[0030] A curve acquisition module, used to acquire the user-side power load curve and the power generation curve of the power generation side in the area with poor power consumption in the same power consumption cycle;

[0031] The bad area judgment module is used to calculate the similarity between the power load curve on the user side and the power generation curve on the power generation side and judge the bad power consumption area according to the similarity.

[0032] In one embodiment, the concave-convex point determination unit includes:

[0033] The deviation degree calculation module is used to calculate the voltage-frequency deviation degree of each power consumption node;

[0034] The concave-convex point determination module is used to determine the voltage-frequency concave-convex point according to the voltage-frequency offset degree.

[0035] In one embodiment, the power offset acquisition unit includes:

[0036] The module for segmenting power consumption in bad areas is used to divide the areas with bad power consumption into several time periods, and then calculate the power consumption of the bad areas in each time period;

[0037] The power consumption segmentation module on the power generation side is used to divide the power consumption curve on the power generation side into several time periods, and then calculate the power consumption in each time period;

[0038] The power offset calculation module is used to calculate the power offset of the area with poor power consumption based on the power consumption in the poor area and the power consumption on the power generation side.

[0039] According to the third aspect of the present application, an electronic device is also provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the steps of the user-side energy storage site selection and capacity determination method are implemented.

[0040] According to a fourth aspect of the present application, a computer-readable storage medium is also provided, on which a computer program is stored, and when the computer program is executed by a processor, the steps of the user-side energy storage site selection and capacity determination method are implemented. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0042] Figure 1 A flow chart of a method for selecting and sizing user-side energy storage sites to improve grid flexibility provided in this application.

[0043] Figure 2 A structural block diagram of the user-side energy storage site selection and capacity determination device for improving grid flexibility provided in this application. DETAILED DESCRIPTION

[0044] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0045] This application provides a user-side energy storage site selection and capacity determination method to improve the flexibility of the power grid, such as Figure 1 As shown, including:

[0046] S101: Divide the target area into a plurality of user-side power consumption areas, and screen out areas with poor power consumption from the plurality of user-side power consumption areas according to power load.

[0047] S102: Determine a plurality of power consumption nodes in the area with poor power consumption, and select voltage-frequency concave and convex points according to the voltage-frequency deviation degree and power consumption change on the nodes.

[0048] S103: Obtaining the power offset of the area with poor power consumption.

[0049] S104: Establishing an objective function according to the voltage-frequency bumps and the power offset to obtain a geographical location fixed-point model of the energy storage device.

[0050] S105: Establishing an energy storage capacity configuration model according to the power offset.

[0051] S106: Select the site and determine the capacity of the energy storage power station according to the energy storage device geographical location fixed point model and the energy storage capacity configuration model.

[0052] In one embodiment, a region with poor power consumption is screened out from a plurality of user-side power consumption regions according to power load, including:

[0053] S201: Obtaining a user-side power load curve and a power generation curve of a power generation side in a poor power consumption area within a same power consumption cycle;

[0054] S202: Calculate the similarity between the power load curve on the user side and the power generation curve on the power generation side and determine the area with poor power consumption according to the similarity.

[0055] In one embodiment, the voltage-frequency concave and convex points are screened out according to the voltage-frequency deviation degree and power consumption change on the node, including:

[0056] S301: Calculate the voltage-frequency deviation degree of each power consumption node;

[0057] S302: Determine voltage-frequency concave and convex points according to the voltage-frequency deviation degree.

[0058] In one embodiment, obtaining the power offset of the area with poor power usage includes:

[0059] S401: Divide the area with poor power consumption into several time periods, and then calculate the power consumption of the poor area in each time period;

[0060] S402: Divide the power consumption curve of the power generation side into several time periods, and then calculate the power consumption in each time period;

[0061] S403: Calculate the power offset of the area with poor power consumption according to the power consumption in the area with poor power consumption and the power consumption on the power generation side.

[0062] In a specific embodiment, a method for selecting a site and determining the capacity of user-side energy storage based on improving the flexibility of a power grid includes the following steps:

[0063] Step A: Divide a certain area into L user-side power consumption areas according to geographical location, each power consumption area is denoted as Wi (i=1, 2, ...L), extract the power load curve of each power consumption area within a power consumption cycle T, and then compare the load curve with the power generation curve of the power generation side of the entire area. According to the principle that the higher the curve similarity, the better the power consumption situation, select the power consumption area with poor power consumption situation.

[0064] Step B: In the area with poor power consumption, the power consumption hub determines multiple power consumption nodes, and selects a voltage-frequency concave-convex point with the most complex power consumption according to the voltage-frequency deviation degree and power consumption at different nodes.

[0065] Step C: Divide the area with poor power consumption into M time periods according to a fixed time scale, and then calculate the power consumption in each time period. At the same time, perform the same processing on the power generation side curve to obtain the power consumption in each time period on the power generation side, and then calculate the power offset of the area with poor power consumption.

[0066] Step D: Based on the principle that the closer the energy storage device is installed, the more sensitive it is and the better it is at adjusting the load curve, a model for the geographical location of the energy storage device is established by taking the distance ratio from the energy storage device to each voltage-frequency bump point as equal to the inverse ratio of the offset of the area to which the voltage-frequency bump point belongs and minimizing the total distance as the objective function.

[0067] Step E: Based on the offset of the total area with poor electricity consumption, the distance loss of the energy storage device from the target regulation area, and the constraints of the energy storage device itself, a storage capacity configuration model is established with the goal of minimizing the overall economic cost and meeting the requirements for responding to local emergencies.

[0068] On the basis of the above scheme, in step A, the specific method for selecting the power consumption area with poor power consumption is: first extract the user-side load curve and the power generation curve of the power generation side in the poor power consumption area within the same power consumption cycle, and then calculate the curve similarity between the load curve and the power generation side curve. The specific process is to divide the user-side load curve and the power generation curve on the power generation side into U time periods using the same time scale, and calculate the average power consumption in each time period.

[0069]

[0070]

[0071] In the formula, represents the average power consumption in the i-th time period of the load curve, represents the average power generation in the i-th time period of the power generation curve, μ represents the correction coefficient, and Υ represents a quantity that is inversely proportional to the degree of similarity.

[0072] If equation (1) is satisfied, it means that the load curve of the user side area is highly similar to the curve of the power generation side, and it is a good power consumption area. If equation (2) is satisfied, it means that the load curve of the user side area is less similar to the curve of the power generation side, and it is a poor power consumption area.

[0073] Based on the above scheme, in step B, the specific method of selecting a voltage-frequency concave-convex point with the most complex power consumption situation is as follows:

[0074] Method for determining power consumption nodes: Determine the power consumption nodes according to the location of the power consumption hub point. The determination method is that the hub point can be the power consumption node, or multiple hub points with close geographical locations can be determined as one power consumption node.

[0075] Method for determining voltage-frequency concave and convex points: first calculate the voltage and frequency deviation of each power consumption node, and then determine the power consumption node with the largest deviation as the voltage-frequency concave and convex point; the calculation formula is as follows:

[0076]

[0077] AT uf =max(S1, S2, S3···) (4)

[0078] In the formula, S i Indicates the voltage frequency deviation degree of the i-th power consumption node, U i represents the average voltage of the ith power node, U N Indicates the rated voltage of the generating side, f i represents the average frequency of the ith node, f N Indicates the rated frequency of the generator side, AT uf The voltage frequency deviation degree of the voltage frequency bump point is indicated, thereby the position of the voltage frequency bump point can be determined.

[0079] Based on the above solution, in step C, the specific method for calculating the power offset of the area with poor power consumption is as follows:

[0080] The area with poor power consumption is divided into M time periods, and then the power consumption in each time period is calculated. At the same time, the power generation side curve is processed in the same way to obtain the power consumption in each time period on the power generation side. The calculation formula is as follows:

[0081]

[0082] In the formula, Indicates the amount of power offset in the area with poor power consumption. represents the power consumption in the jth time period in the area with poor power consumption on the user side, Represents the power generation on the power generation side in the jth time period.

[0083] Based on the above solution, in step D, the calculation formula for the geographical location of the energy storage device is as follows:

[0084] min D sum =d1+d2+d3+...(6)

[0085]

[0086] Where D sum represents the total distance from each power-poor area to the energy storage installation site, di(i=1, 2...) represents the distance from the ith power-poor area to the energy storage installation site, Represents the power offset of the i-th power-poor area.

[0087] Based on the above solution, in step E, the energy storage capacity configuration model established is as follows:

[0088] min C=c1+(K1+K2)*R 储 (8)

[0089]

[0090]

[0091]

[0092]

[0093] In the formula, C represents the total cost of installing and operating the energy storage device. Indicates the total voltage offset of each poor power consumption area, T 不良 represents the total power consumption time in the area with poor power consumption, M represents dividing the time in the area with poor power consumption into M segments, t 储 Indicates the time it takes for the state of charge of the energy storage device to change from 0 to 1, R 储 represents the configuration capacity of the energy storage device, E(t-Δt) represents the capacity of the energy storage device at the time t-Δt, and P cf Indicates, c1 represents the total cost of labor and supporting equipment for one installation, K1 is the cost of installing a unit capacity energy storage device, K2 represents the cost of repairing a unit capacity energy storage device, α represents the margin to be left when configuring energy storage, SOC(t) represents the state of charge of the energy storage device at time t, P represents the power of the energy storage device, It indicates the power of the bad area at the voltage frequency concave and convex points.

[0094] Based on the same inventive concept, the embodiments of the present application also provide a user-side energy storage site selection and sizing device for improving the flexibility of the power grid, which can be used to implement the method described in the above embodiments, as described in the following embodiments. Since the principle of solving the problem by the user-side energy storage site selection and sizing device for improving the flexibility of the power grid is similar to the user-side energy storage site selection and sizing method for improving the flexibility of the power grid, the implementation of the user-side energy storage site selection and sizing device for improving the flexibility of the power grid can refer to the implementation of the intelligent volume assembly method, and the repeated parts will not be repeated. As used below, the terms "unit" or "module" can be a combination of software and / or hardware that implements predetermined functions. Although the system described in the following embodiments is preferably implemented in software, the implementation of hardware, or a combination of software and hardware, is also possible and conceived.

[0095] The present application also provides a user-side energy storage site selection and capacity determination device to improve the flexibility of the power grid, such as Figure 2 As shown, including:

[0096] The poor power consumption area screening unit 201 is used to divide the target area into a plurality of user-side power consumption areas, and screen out the poor power consumption area from the plurality of user-side power consumption areas according to the power load;

[0097] The concave-convex point determination unit 202 is used to determine a plurality of power consumption nodes in the area with poor power consumption, and select the voltage-frequency concave-convex points according to the voltage-frequency deviation degree and power consumption change on the nodes;

[0098] The power offset acquisition unit 203 is used to acquire the power offset of the area with poor power consumption;

[0099] A first modeling unit 204 is used to establish an objective function according to the voltage-frequency concave and convex points and the power offset to obtain a geographical location fixed-point model of the energy storage device;

[0100] A second modeling unit 205, configured to establish an energy storage capacity configuration model according to the power offset;

[0101] The site selection and capacity determination unit 206 is used to select the site and determine the capacity of the energy storage power station according to the energy storage device geographical location fixed point model and the energy storage capacity configuration model.

[0102] In one embodiment, the poor power consumption area screening unit includes:

[0103] A curve acquisition module, used to acquire the user-side power load curve and the power generation curve of the power generation side in the area with poor power consumption in the same power consumption cycle;

[0104] The bad area judgment module is used to calculate the similarity between the power load curve on the user side and the power generation curve on the power generation side and judge the bad power consumption area according to the similarity.

[0105] In one embodiment, the concave-convex point determination unit includes:

[0106] The deviation degree calculation module is used to calculate the voltage-frequency deviation degree of each power consumption node;

[0107] The concave-convex point determination module is used to determine the voltage-frequency concave-convex point according to the voltage-frequency offset degree.

[0108] In one embodiment, the power offset acquisition unit includes:

[0109] The module for segmenting power consumption in bad areas is used to divide the areas with bad power consumption into several time periods, and then calculate the power consumption of the bad areas in each time period;

[0110] The power consumption segmentation module on the power generation side is used to divide the power consumption curve on the power generation side into several time periods, and then calculate the power consumption in each time period;

[0111] The power offset calculation module is used to calculate the power offset of the area with poor power consumption based on the power consumption in the poor area and the power consumption on the power generation side.

[0112] Using the method provided in this application to configure and use user-side energy storage can not only bring considerable economic benefits to users, but also alleviate the peak and frequency regulation pressure of the power grid to a certain extent, thereby improving the flexibility of the power grid.

[0113] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0114] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0115] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0116] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0117] The present invention uses specific embodiments to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea. At the same time, for those skilled in the art, according to the idea of ​​the present invention, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as a limitation on the present invention.

[0118] The embodiments of the present application also provide a specific implementation of an electronic device capable of implementing all steps of the method in the above embodiments, and the electronic device specifically includes the following contents:

[0119] Processor, memory, communications interface and bus;

[0120] Wherein, the processor, memory, and communication interface communicate with each other via the bus;

[0121] The processor is used to call the computer program in the memory. When the processor executes the computer program, all the steps in the method in the above embodiment are implemented. For example, when the processor executes the computer program, the following steps are implemented:

[0122] S101: Divide the target area into a plurality of user-side power consumption areas, and screen out areas with poor power consumption from the plurality of user-side power consumption areas according to power load.

[0123] S102: Determine a plurality of power consumption nodes in the area with poor power consumption, and select voltage-frequency concave and convex points according to the voltage-frequency deviation degree and power consumption change on the nodes.

[0124] S103: Obtaining the power offset of the area with poor power consumption.

[0125] S104: Establishing an objective function according to the voltage-frequency bumps and the power offset to obtain a geographical location fixed-point model of the energy storage device.

[0126] S105: Establishing an energy storage capacity configuration model according to the power offset.

[0127] S106: Select the site and determine the capacity of the energy storage power station according to the energy storage device geographical location fixed point model and the energy storage capacity configuration model.

[0128] The embodiments of the present application also provide a computer-readable storage medium capable of implementing all the steps of the method in the above embodiments. The computer-readable storage medium stores a computer program. When the computer program is executed by a processor, all the steps of the method in the above embodiments are implemented. For example, when the processor executes the computer program, the following steps are implemented:

[0129] S101: Divide the target area into a plurality of user-side power consumption areas, and screen out areas with poor power consumption from the plurality of user-side power consumption areas according to power load.

[0130] S102: Determine a plurality of power consumption nodes in the area with poor power consumption, and select voltage-frequency concave and convex points according to the voltage-frequency deviation degree and power consumption change on the nodes.

[0131] S103: Obtaining the power offset of the area with poor power consumption.

[0132] S104: Establishing an objective function according to the voltage-frequency bumps and the power offset to obtain a geographical location fixed-point model of the energy storage device.

[0133] S105: Establishing an energy storage capacity configuration model according to the power offset.

[0134] S106: Select the site and determine the capacity of the energy storage power station according to the energy storage device geographical location fixed point model and the energy storage capacity configuration model.

[0135] Each embodiment in this specification is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the hardware + program embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment. Although the embodiment of this specification provides the method operation steps described in the embodiment or flow chart, more or less operation steps can be included based on conventional or non-creative means. The order of steps listed in the embodiment is only one way of executing the order of many steps, and does not represent the only execution order. When the device or terminal product in practice is executed, it can be executed in sequence or in parallel according to the method shown in the embodiment or the accompanying drawings (for example, a parallel processor or a multi-threaded processing environment, or even a distributed data processing environment). The term "include", "include" or any other variant thereof is intended to cover non-exclusive inclusion, so that the process, method, product or device including a series of elements includes not only those elements, but also includes other elements that are not explicitly listed, or also includes elements inherent to such a process, method, product or device. In the absence of more restrictions, it is not excluded that there are other identical or equivalent elements in the process, method, product or device including the elements. For the convenience of description, the above device is described by dividing it into various modules according to its functions. Of course, when implementing the embodiments of this specification, the functions of each module can be implemented in the same one or more software and / or hardware, or the module implementing the same function can be implemented by a combination of multiple sub-modules or sub-units. The device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the coupling or direct coupling or communication connection between each other shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms. The present invention is described with reference to the flowchart and / or block diagram of the method, device (system) and computer program product according to the embodiments of the present invention. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the process and / or box in the flowchart and / or block diagram can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the process Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0136] Those skilled in the art will appreciate that the embodiments of this specification may be provided as methods, systems or computer program products. Therefore, the embodiments of this specification may be in the form of a complete hardware embodiment, a complete software embodiment or an embodiment combining software and hardware. Moreover, the embodiments of this specification may be in the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes. Each embodiment in this specification is described in a progressive manner, and the same and similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the system embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts refer to the partial description of the method embodiment. In the description of this specification, the description of the reference term "one embodiment", "some embodiments", "example", "specific example", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the embodiment of this specification.

[0137] In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradicting each other. The above is only an embodiment of the embodiment of this specification and is not intended to limit the embodiment of this specification. For those skilled in the art, the embodiment of this specification may have various changes and variations. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the embodiment of this specification shall be included in the scope of the claims of the embodiment of this specification.

Claims

1. A user-side energy storage site selection and capacity determination method for improving power grid flexibility, characterized in that: include: Divide the target area into a plurality of user-side power consumption areas, and screen out areas with poor power consumption from the plurality of user-side power consumption areas according to power load; Determine a plurality of power consumption nodes in the poor power consumption area, and determine the power consumption node with the largest voltage-frequency deviation among the power consumption nodes as the voltage-frequency concave-convex point; Obtaining the power offset of the area with poor power consumption; A model for the location of the energy storage device is established based on the objective function that the ratio of the distance from the energy storage device installation site to each area with poor power consumption is equal to the inverse ratio of the power offset of the area with poor power consumption and the minimum total distance from each area with poor power consumption to the energy storage device installation site; Based on the total power offset in the poor power consumption area, the distance loss between the energy storage device and the target regulation area, and the constraints of the energy storage device itself, a model for energy storage capacity configuration with the minimum overall economic cost is established; Performing site selection and capacity determination of an energy storage power station according to the energy storage device geographical location fixed point model and the energy storage capacity configuration model; Among them, the voltage-frequency concave and convex points are screened out according to the voltage-frequency deviation degree on the power consumption node, including: Calculate the voltage-frequency deviation degree of each power consumption node; The power consumption node with the largest voltage-frequency deviation among the power consumption nodes is determined as the voltage-frequency concave-convex point.

2. The method for selecting a site and determining the capacity of energy storage at the user side according to claim 1, characterized in that: The step of screening out a poor power consumption area from a plurality of user-side power consumption areas according to the power load includes: Obtaining a user-side power load curve and a power generation curve of a power generation side in the user-side power consumption area within the same power consumption cycle; The similarity between the user-side power load curve and the power generation curve on the power generation side is calculated, and the area with poor power consumption is determined according to the similarity.

3. The method for selecting a site and determining the capacity of energy storage at the user side according to claim 1, characterized in that: The step of obtaining the power offset of the area with poor power usage includes: Divide the area with poor power consumption into several time periods, and then calculate the power consumption of the poor area in each time period; Divide the power consumption curve of the power generation side into several time periods, and then calculate the power consumption in each time period; The power offset of the area with poor power consumption is obtained by calculating the power consumption of the area with poor power consumption and the power consumption of the power generation side.

4. A user-side energy storage site selection and capacity determination device for improving the flexibility of the power grid, characterized in that: include: A poor power consumption area screening unit is used to divide the target area into a plurality of user-side power consumption areas, and screen out poor power consumption areas from the plurality of user-side power consumption areas according to power load; A concave-convex point determination unit is used to determine a plurality of power consumption nodes in the poor power consumption area, and determine the power consumption node with the largest voltage-frequency deviation among the power consumption nodes as a voltage-frequency concave-convex point; An electric quantity offset obtaining unit, used for obtaining the electric quantity offset of the area with poor power consumption; The first modeling unit is used to establish a model for the geographical location of the energy storage device based on the objective function that the ratio of the distance from the energy storage device installation location to each power-poor area is equal to the inverse ratio of the power offset of the power-poor area and the total distance from each power-poor area to the energy storage device installation location is minimized; The second modeling unit is used to establish an energy storage capacity configuration model with the minimum overall economic cost based on the total power offset of the poor power consumption area, the distance loss of the energy storage device from the target regulation area, and the constraints of the energy storage device itself as constraints; A site selection and capacity determination unit, used for selecting a site and determining the capacity of an energy storage power station according to the energy storage device geographical location fixed point model and the energy storage capacity configuration model; The concave-convex point determination unit comprises: The deviation degree calculation module is used to calculate the voltage-frequency deviation degree of each power consumption node; The concave-convex point determination module is used to determine the power consumption node with the largest voltage-frequency deviation among the power consumption nodes as the voltage-frequency concave-convex point.

5. The user-side energy storage site selection and capacity determination device according to claim 4, characterized in that: The poor power consumption area screening unit comprises: A curve acquisition module, used to acquire a user-side power load curve and a power generation curve of a power generation side in the user-side power consumption area within the same power consumption cycle; The bad area judgment module is used to calculate the similarity between the power load curve on the user side and the power generation curve on the power generation side and judge the bad power consumption area according to the similarity.

6. The user-side energy storage site selection and capacity determination device according to claim 4, characterized in that: The power offset acquisition unit includes: The module for segmenting power consumption in bad areas is used to divide the areas with bad power consumption into several time periods, and then calculate the power consumption of the bad areas in each time period; The power consumption segmentation module on the power generation side is used to divide the power consumption curve on the power generation side into several time periods, and then calculate the power consumption in each time period; The power offset calculation module is used to calculate the power offset of the area with poor power consumption based on the power consumption in the poor area and the power consumption on the power generation side.

7. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the program, the steps of the user-side energy storage site selection and capacity determination method described in any one of claims 1 to 3 are implemented.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the user-side energy storage site selection and capacity determination method described in any one of claims 1 to 3 are implemented.

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