Flexible resource regulation potential aggregation method, system, equipment and medium

Abstract

The invention discloses a flexibility resource regulation potential aggregation method, system and device and a medium. The method comprises the following steps: determining the participation willingness and participation mode of each flexibility resource in a transformer area to participate in the transformer area; according to the participation willingness and the participation mode of each flexible resource in the transformer area to participate in the transformer area transformer, determining a feasible region of the flexible resources willing to participate in the transformer area transformer; according to the predicted value of the transformer area variable load, all the feasible regions of the flexible resources willing to participate in the transformer area variable are aggregated, the aggregated feasible regions are obtained, and the method, the system, the equipment and the medium can achieve aggregation of the regulation and control capacity of the flexible resources in the transformer area.

Description

Technical Field

[0001] The present invention belongs to the field of electric power technology and relates to a method, system, equipment and medium for aggregating flexibility resource regulation potential. Background Art

[0002] With the continuous improvement of the level of electrification, elements such as electric vehicle charging piles, distributed new energy, energy storage, 5G base stations, and data centers on the distribution station side are showing a rapid growth trend. The installation of large-scale new energy equipment and the access of loads such as electric vehicles have brought new challenges to the operation stability, morphological development, and operation control of the substation area, and have aggravated the randomness, high-power disturbance, nonlinearity, and dispersion of the distribution station area, making the original three-phase imbalance, voltage, harmonics and other power quality problems in the distribution station area more prominent, directly affecting the user's electricity service level.

[0003] Flexibility resources can participate in regulating system balance through certain control methods, and have the potential to improve power quality, enhance power supply reliability, and participate in distribution network peak regulation. However, most flexibility resources are scattered, diverse, and have different characteristics, making them difficult to regulate directly. Therefore, it is difficult to aggregate the regulation potential of various flexibility resources in the substation area. Summary of the invention

[0004] The purpose of the present invention is to overcome the shortcomings of the above-mentioned prior art and to provide a method, system, device and medium for aggregating flexibility resource regulation potential. The method, system, device and medium can realize the aggregation of flexibility resource regulation capabilities within a station area.

[0005] In order to achieve the above object, the present invention adopts the following technical scheme:

[0006] In one aspect of the present invention, the flexibility resource regulation potential aggregation method of the present invention comprises:

[0007] Determine the willingness and method of participation of each flexible resource in the area in participating in the area change;

[0008] According to the willingness and participation method of each flexibility resource in the substation area to participate in the substation area change, the feasible domain of flexibility resources willing to participate in the substation area change is determined;

[0009] According to the predicted value of the load change in the substation, the feasible domains of all the flexible resources willing to participate in the substation load change are aggregated to obtain the aggregated feasible domain.

[0010] The flexibility resource regulation potential aggregation method of the present invention is further improved in that:

[0011] Furthermore, the process of aggregating the feasible domains of all flexibility resources willing to participate in the area change is as follows:

[0012] Based on the Minkowski algorithm, the feasible domains of all flexible resources willing to participate in the substation change are aggregated to obtain the aggregated feasible domain Z agg for:

[0013] Z agg =Z1⊕Z2⊕Z3...Z i ...Z j

[0014] Among them, Z i is the feasible domain of the i-th flexible resource willing to participate in the zone change, and j is the number of flexible resources willing to participate in the zone change.

[0015] Furthermore, the process of determining the willingness and mode of participation of each flexibility resource in the substation to participate in the substation change is as follows:

[0016] Obtain the output characteristics and usage data of each flexible resource in the area;

[0017] Based on the output characteristics and usage data of each flexible resource in the area, the willingness and method of participation of each flexible resource in the area in participating in the area change are determined.

[0018] Furthermore, the predicted value of the load change in the substation obtained by prediction, before aggregating the feasible domains of all the flexibility resources willing to participate in the substation load change, also includes:

[0019] Obtain historical electricity consumption data of the substation and electricity price data of the power market;

[0020] The predicted value of the load of the transformer substation is obtained based on the historical power consumption data of the transformer substation and the electricity price data of the power market.

[0021] In a second aspect of the present invention, the flexibility resource regulation potential aggregation system of the present invention comprises:

[0022] The first determination module is used to determine the willingness and method of participation of each flexibility resource in the area in participating in the area change;

[0023] The second determination module is used to determine the feasible domain of flexibility resources willing to participate in the transformation of the transformer area according to the willingness and participation method of each flexibility resource in the transformer area to participate in the transformation of the transformer area;

[0024] The evaluation and determination module is used to aggregate the feasible domains of all flexible resources willing to participate in the substation load change according to the predicted value of the substation load change, and obtain the aggregated feasible domain.

[0025] The flexibility resource regulation potential aggregation system of the present invention is further improved in that:

[0026] Furthermore, the process of aggregating the feasible domains of all flexibility resources willing to participate in the area change is as follows:

[0027] Based on the Minkowski algorithm, the feasible domains of all flexible resources willing to participate in the substation change are aggregated to obtain the aggregated feasible domain Z agg for:

[0028] Z agg =Z1⊕Z2⊕Z3...Z i ...Z j

[0029] Among them, Z i is the feasible domain of the i-th flexible resource willing to participate in the zone change, and j is the number of flexible resources willing to participate in the zone change.

[0030] Furthermore, the first determining module includes:

[0031] The first acquisition module is used to obtain the output characteristics and usage data of each flexibility resource in the station area;

[0032] The third determination module is used to determine the willingness and method of participation of each flexibility resource in the substation area in participating in the substation area change according to the output characteristics and usage data of each flexibility resource in the substation area.

[0033] Furthermore, it also includes:

[0034] The second acquisition module is used to obtain the historical power consumption data of the transformer substation and the electricity price data of the power market;

[0035] The prediction module is used to predict the load of the transformer substation based on the historical power consumption data of the transformer substation and the electricity price data of the power market.

[0036] In a third aspect of the present invention, the computer device of the present invention comprises a memory, a processor and a computer program stored in the memory and executable on the processor, and the processor implements the steps of the flexibility resource regulation potential aggregation method when executing the computer program.

[0037] In a fourth aspect of the present invention, the computer-readable storage medium of the present invention stores a computer program, and when the computer program is executed by a processor, the steps of the flexibility resource regulation potential aggregation method are implemented.

[0038] The present invention has the following beneficial effects:

[0039] During specific operation, the flexibility resource regulation potential aggregation method, system, device and medium described in the present invention guide the feasible domains of all flexibility resources willing to participate in the substation load change to be aggregated according to the predicted value of the substation load change, and obtain the aggregated feasible domain, thereby realizing the aggregation of flexibility resource regulation capabilities within the substation. The operation is simple and convenient, which helps aggregators to better set prices, and further better guide flexibility resources to participate in power grid aggregation, so as to maximize the interests of both parties. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] The accompanying drawings constituting a part of the present invention are used to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the accompanying drawings:

[0041] Figure 1 is a flow chart of the method of the present invention;

[0042] Figure 2 This is the structural diagram of the station area;

[0043] Figure 3 Schematic diagram of user value function;

[0044] Figure 4 This is the schematic diagram of Minkowski addition;

[0045] Figure 5 It is a system structure diagram of the present invention. DETAILED DESCRIPTION

[0046] 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 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.

[0047] In the description of the present invention, it should be understood that the terms “include” and “comprises” indicate the presence of described features, wholes, steps, operations, elements and / or components, but do not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components and / or collections thereof.

[0048] It should also be understood that the terms used in the present specification are only for the purpose of describing specific embodiments and are not intended to limit the present invention. As used in the present specification and the appended claims, unless the context clearly indicates otherwise, the singular forms "a", "an" and "the" are intended to include plural forms.

[0049] It should be further understood that the term "and / or" used in the present specification and the appended claims refers to any combination of one or more of the associated listed items and all possible combinations, and includes these combinations. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in the present invention generally indicates that the associated objects are in an "or" relationship.

[0050] It should be understood that, although the terms first, second, third, etc. may be used to describe preset ranges, etc. in the embodiments of the present invention, these preset ranges should not be limited to these terms. These terms are only used to distinguish preset ranges from each other. For example, without departing from the scope of the embodiments of the present invention, the first preset range may also be referred to as the second preset range, and similarly, the second preset range may also be referred to as the first preset range.

[0051] The word "if" as used herein may be interpreted as "at the time of" or "when" or "in response to determining" or "in response to detecting", depending on the context. Similarly, the phrases "if it is determined" or "if (stated condition or event) is detected" may be interpreted as "when it is determined" or "in response to determining" or "when detecting (stated condition or event)" or "in response to detecting (stated condition or event)", depending on the context.

[0052] In order to make the purpose, 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 in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all of the embodiments. The components of the embodiments of the present invention described and shown in the drawings here can usually be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present invention provided in the drawings is not intended to limit the scope of the claimed invention, but merely represents selected embodiments of the present invention. Based on the embodiments in the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0053] Various structural schematic diagrams of the embodiments disclosed in the present invention are shown in the accompanying drawings. These figures are not drawn to scale, and some details are magnified and some details may be omitted for the purpose of clear expression. The shapes of various regions and layers shown in the figures and the relative sizes and positional relationships therebetween are only exemplary, and may deviate in practice due to manufacturing tolerances or technical limitations, and those skilled in the art may additionally design regions / layers with different shapes, sizes, and relative positions according to actual needs.

[0054] Embodiment 1

[0055] refer to Figure 1 The flexibility resource aggregation regulation potential assessment method of the present invention comprises the following steps:

[0056] 1) According to the output characteristics and usage habits of each flexible resource in the area, determine the willingness and method of participation of each flexible resource in the area in participating in the area change;

[0057] 2) According to the willingness and participation methods of each flexibility resource in the area to participate in the area change, determine the feasible domain of flexibility resources willing to participate in the area change;

[0058] 3) According to the predicted value of the load change in the substation, the feasible domains of all flexible resources willing to participate in the substation load change are aggregated to obtain the aggregated feasible domain.

[0059] Specifically, refer to Figure 4 In this embodiment, the feasible domain of all the flexible resources participating in the substation change is aggregated based on the Minkowski algorithm, wherein the aggregated feasible domain Z agg for:

[0060] Z agg =Z1⊕Z2⊕Z3...Z i ...Z j

[0061] Among them, Z i is the feasible domain of the flexibility resources participating in the i-th station change.

[0062] Step 4) The process of predicting the variable load prediction value of the substation is as follows:

[0063] Obtain historical power consumption data of the transformer substation and electricity price data of the power market, and predict the load prediction value of the transformer substation according to the historical power consumption data of the transformer substation and the electricity price data of the power market;

[0064] Specifically, refer to Figure 2 , obtain the 96-point electricity load data of the substation in the past year; identify and correct the abnormal data and bad data in the 96-point electricity load data; use the K-means clustering algorithm to extract the typical curve and cluster center based on the 96-point electricity load data of the substation in the past year; normalize the 96-point electricity load data of the substation in the past year to determine the typical historical load curve of each substation; calculate the distance between the typical historical load curve of each substation and the cluster center, group the historical electricity data with similar load characteristics of the substation to obtain the grouped load, determine the corresponding load forecasting algorithm based on the law of the grouped load and forecast the historical load data of each substation to obtain the predicted value of the substation load.

[0065] In addition, the feasible domain Z after aggregation in the present inventionagg The total charging power P during the time period t can be obtained by aggregation t ch The total discharge power P obtained by summing up the time period t t dis The specific calculation process is as follows:

[0066] The total charging power P obtained by aggregation during time period t t ch And the total discharge power P obtained in period t t dis They are:

[0067]

[0068]

[0069] in, P t ch is the total charging power obtained by aggregation during time period t, P t dis is the total discharge power obtained during the t period, is the charging dispatch power of the flexible resource of the nth participating area in period t, is the discharge dispatch power of the nth flexible resource participating in the substation change in period t, is the set of flexible resources participating in the area change, and T is the scheduling time set.

[0070] In addition, the present invention also discloses a calculation process of the overall revenue of the substation area, which is specifically:

[0071] According to the output characteristics and usage habits of different flexible resources, a benefit-willingness model is constructed. Figure 3 is the user value function, that is, after receiving the discharge electricity price, the flexible resource owner will generate benefits and loss utility by participating in the aggregation interaction. Research data shows that people's risk preferences will reverse near the reference point, tending to be risk-averse in the face of benefits and risk-seeking in the face of losses. The farther away from the reference point, the smaller the marginal change of benefits or losses has on people's psychology. Therefore, an "S"-shaped value function describing the limited rationality of decision makers is obtained. Based on the user value function, the flexible resource output benefit-willingness model is obtained as follows:

[0072]

[0073]

[0074] Among them, C Iis the benefit of flexibility resources obtained by participating in the interaction of station area changes per unit time, η user The willingness of flexible resources to participate in the aggregation of the substation area, E i is the discharge power of the flexible resource on the i-th day, Pr d is the discharge price of the flexible resource participating in the interaction on that day, α is the preference level of the flexible resource for participating in the interaction of the substation, Cd The revenue obtained by flexible resources through their own power generation.

[0075] Constructing a relationship mapping curve between the discharge benefit and the discharge price of a single flexibility resource according to the single flexibility resource benefit-willingness model, and determining the optimal unit discharge benefit of the flexibility resource according to the relationship mapping curve between the discharge benefit and the discharge price of the single flexibility resource;

[0076] The aggregator then provides the flexible resource owner with the unit discharge price for participating in the aggregation interaction during the period based on the optimal unit discharge price, making the price more instructive, that is, according to the total charging power P during the aggregation period t t ch , the total discharge power P obtained during the t period t dis As well as the optimal unit discharge benefit of each flexibility resource, the overall benefit is calculated.

[0077] The optimal unit discharge benefit is expressed as:

[0078] Optimal unit discharge income (yuan / KWh) = (discharge income - discharge cost) / discharge electricity

[0079] It should be noted that the present invention has the following characteristics:

[0080] First, the present invention adopts the reverse deduction method. When the traditional method aggregator performs discharge pricing, it generally adopts a fixed charging standard or sets the discharge electricity fee based on the user-side time-of-use electricity price. This method does not take into account the cost and benefits of flexible resources participating in aggregated discharge. Therefore, by establishing a flexible resource owner's benefit-willingness model, the willingness and profit level of flexible resources participating in aggregation are analyzed, making the discharge electricity price more reasonable.

[0081] Secondly, the present invention adopts the method of positive derivation, that is, considering the load demand in the substation area, and then setting the discharge electricity price according to the load demand to guide the owners of flexible resources to participate in aggregation interaction, by predicting the day-ahead load curve in the substation area, analyzing the load changes in the substation area, and providing accurate predictions for the time and amount of aggregated output of flexible resources, and the output time, output electricity, and discharge electricity price of flexible resources.

[0082] Finally, the present invention adopts a derivation method that combines positive and negative terms, which takes into account both the electricity demand within the substation area and the aggregation benefits and aggregation willingness of the flexibility resource owners, which helps to help aggregator business personnel to better set prices, and then better guide flexibility resources to participate in grid aggregation, so as to maximize the interests of both parties.

[0083] Embodiment 2

[0084] refer to Figure 5 The flexibility resource regulation potential aggregation system of the present invention comprises:

[0085] The first determination module is used to determine the willingness and method of participation of each flexibility resource in the area in participating in the area change;

[0086] The second determination module is used to determine the feasible domain of flexibility resources willing to participate in the transformation of the transformer area according to the willingness and participation method of each flexibility resource in the transformer area to participate in the transformation of the transformer area;

[0087] The evaluation and determination module is used to aggregate the feasible domains of all flexible resources willing to participate in the substation load change according to the predicted value of the substation load change, and obtain the aggregated feasible domain.

[0088] As an implementation mode of the present invention, the process of aggregating the feasible domains of all flexibility resources willing to participate in the substation change is as follows:

[0089] Based on the Minkowski algorithm, the feasible domains of all flexible resources willing to participate in the substation change are aggregated to obtain the aggregated feasible domain Z agg for:

[0090] Z agg =Z1⊕Z2⊕Z3...Z i ...Z j

[0091] Among them, Z i is the feasible domain of the i-th flexible resource willing to participate in the zone change, and j is the number of flexible resources willing to participate in the zone change.

[0092] As an implementation manner of the present invention, the first determining module includes:

[0093] The first acquisition module is used to obtain the output characteristics and usage data of each flexibility resource in the station area;

[0094] The third determination module is used to determine the willingness and method of participation of each flexibility resource in the substation area in participating in the substation area change according to the output characteristics and usage data of each flexibility resource in the substation area.

[0095] As an embodiment of the present invention, it also includes:

[0096] The second acquisition module is used to obtain the historical power consumption data of the transformer substation and the electricity price data of the power market;

[0097] The prediction module is used to predict the load of the transformer substation based on the historical power consumption data of the transformer substation and the electricity price data of the power market.

[0098] The division of modules in the embodiments of the present invention is schematic and is only a logical function division. There may be other division methods in actual implementation. In addition, each functional module in each embodiment of the present invention may be integrated into one processor, or may exist physically separately, or two or more modules may be integrated into one module. The above-mentioned integrated modules may be implemented in the form of hardware or in the form of software functional modules.

[0099] Embodiment 3

[0100] A computer device includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of the flexibility resource regulation potential aggregation method are implemented, for example, including: obtaining historical power consumption data of the substation and the electricity price data of the power market; predicting the predicted value of the substation load according to the historical power consumption data of the substation and the electricity price data of the power market; determining the willingness and participation method of each flexibility resource in the substation to participate in the substation; determining the feasible domain of the flexibility resources willing to participate in the substation according to the willingness and participation method of each flexibility resource in the substation; according to the predicted value of the substation load, aggregating the feasible domains of all the flexibility resources willing to participate in the substation to obtain the aggregated feasible domain. The memory may include a memory, such as a high-speed random access memory, and may also include a non-volatile memory, such as at least one disk memory, etc. The processor, the network interface, and the memory are connected to each other through an internal bus, and the internal bus may be an industrial standard architecture bus, a peripheral component interconnection standard bus, an extended industrial standard architecture bus, etc. The bus may be divided into an address bus, a data bus, a control bus, etc. The memory is used to store programs, specifically, the programs may include program codes, and the program codes include computer operation instructions. The memory may include internal memory and non-volatile memory, and provide instructions and data to the processor.

[0101] Embodiment 4

[0102] A computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the flexibility resource regulation potential aggregation method are implemented, for example, including: obtaining historical power consumption data of the substation and the electricity price data of the power market; predicting the predicted value of the substation load according to the historical power consumption data of the substation and the electricity price data of the power market; determining the willingness and participation method of each flexibility resource in the substation to participate in the substation change; determining the feasible domain of the flexibility resources willing to participate in the substation change according to the willingness and participation method of each flexibility resource in the substation to participate in the substation change; according to the predicted value of the substation load, the feasible domain of all the flexibility resources willing to participate in the substation change is aggregated to obtain the aggregated feasible domain. Specifically, the computer-readable storage medium includes, but is not limited to, for example, volatile memory and / or non-volatile memory. The volatile memory may include random access memory (RAM) and / or cache memory (cache), etc. The non-volatile memory may include read-only memory (ROM), hard disk, flash memory, optical disk, disk, etc.

[0103] 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.

[0104] 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.

[0105] 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 comprising 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.

[0106] 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 The steps for the functions specified in one or more boxes.

[0107] Those skilled in the art will readily appreciate other embodiments of the present invention after considering the specification and disclosure of the invention. The present invention is intended to cover any variations, uses or adaptations of the present invention that follow the general principles of the present invention and include common knowledge or customary techniques in the art that are not disclosed by the present invention. The description and examples are to be regarded as exemplary only, and the true scope and spirit of the present invention is indicated by the following claims.

[0108] It should be understood that the present invention is not limited to the exact construction that has been described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the present invention is limited only by the appended claims.

[0109] The above description is only a preferred embodiment of the present invention and does not limit the present invention in any way. Any simple modification, change and equivalent structural change made to the above embodiment based on the technical essence of the present invention still falls within the protection scope of the technical solution of the present invention.

Claims

1. A method for aggregating flexibility resource regulation potential, characterized in that: include: Determine the willingness and method of participation of each flexible resource in the area in participating in the area change; According to the willingness and participation method of each flexibility resource in the substation area to participate in the substation area change, the feasible domain of flexibility resources willing to participate in the substation area change is determined; According to the predicted value of the load change in the substation, the feasible domains of all the flexible resources willing to participate in the substation load change are aggregated to obtain the aggregated feasible domain.

2. The flexibility resource regulation potential aggregation method according to claim 1 is characterized in that: The process of aggregating the feasible domain of all flexibility resources willing to participate in the area change is as follows: Based on the Minkowski algorithm, the feasible domains of all flexible resources willing to participate in the substation change are aggregated to obtain the aggregated feasible domain Z agg for: WITH agg =Z1⊕Z2⊕Z3...Z i ...WITH j Among them, Z i is the feasible domain of the i-th flexible resource willing to participate in the zone change, and j is the number of flexible resources willing to participate in the zone change.

3. The flexibility resource regulation potential aggregation method according to claim 1 is characterized in that: The process of determining the willingness and method of participation of each flexible resource in the area in participating in the area change is as follows: Obtain the output characteristics and usage data of each flexible resource in the area; Based on the output characteristics and usage data of each flexible resource in the area, the willingness and method of participation of each flexible resource in the area in participating in the area change are determined.

4. The flexibility resource regulation potential aggregation method according to claim 1 is characterized in that: The predicted value of the load change in the substation obtained by prediction, before aggregating the feasible domains of all the flexibility resources willing to participate in the substation load change, also includes: Obtain historical electricity consumption data of the substation and electricity price data of the power market; The predicted value of the load of the transformer substation is obtained based on the historical power consumption data of the transformer substation and the electricity price data of the power market.

5. A flexibility resource regulation potential aggregation system, characterized in that: include: The first determination module is used to determine the willingness and method of each flexible resource in the area to participate in the area change; The second determination module is used to determine the feasible domain of flexibility resources willing to participate in the transformation of the transformer area according to the willingness and participation method of each flexibility resource in the transformer area to participate in the transformation of the transformer area; The evaluation and determination module is used to aggregate the feasible domains of all flexible resources willing to participate in the substation load change according to the predicted value of the substation load change, and obtain the aggregated feasible domain.

6. The flexibility resource regulation potential aggregation system according to claim 5 is characterized in that: The process of aggregating the feasible domain of all flexibility resources willing to participate in the area change is as follows: Based on the Minkowski algorithm, the feasible domains of all flexible resources willing to participate in the substation change are aggregated to obtain the aggregated feasible domain Z agg for: WITH agg =Z1⊕Z2⊕Z3...Z i ...WITH j Among them, Z i is the feasible domain of the i-th flexible resource willing to participate in the zone change, and j is the number of flexible resources willing to participate in the zone change.

7. The flexibility resource regulation potential aggregation system according to claim 5 is characterized in that: The first determining module comprises: The first acquisition module is used to obtain the output characteristics and usage data of each flexibility resource in the station area; The third determination module is used to determine the willingness and method of participation of each flexibility resource in the substation area in participating in the substation area change according to the output characteristics and usage data of each flexibility resource in the substation area.

8. The flexibility resource regulation potential aggregation system according to claim 5 is characterized in that: Also includes: The second acquisition module is used to obtain the historical power consumption data of the transformer substation and the electricity price data of the power market; The prediction module is used to predict the load of the transformer substation based on the historical power consumption data of the transformer substation and the electricity price data of the power market.

9. A computer 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 computer program, the steps of the flexibility resource regulation potential aggregation method as described in any one of claims 1 to 4 are implemented.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the flexibility resource regulation potential aggregation method as described in any one of claims 1 to 4 are implemented.

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