Method and device for determining flexibility of controllable resources in transformer area and computer equipment

Abstract

The invention relates to a transformer area controllable resource flexibility determination method and device, computer equipment, a storage medium and a computer program product. The method comprises the following steps: acquiring operation state data corresponding to each controllable resource object in a power distribution area, and determining a resource adjustable capability determination model for each controllable resource object; and for any controllable resource object, inputting the running state data corresponding to the controllable resource object into the resource adjustable capability determination model corresponding to the controllable resource object, and processing the running state data corresponding to the controllable resource object through the resource adjustable capability determination model corresponding to the controllable resource object. Outputting flexibility information corresponding to the controllable resource object; and according to the flexibility information corresponding to each controllable resource object, determining controllable resource overall flexibility information of the power distribution area. By adopting the method, the resource scheduling accuracy of the power distribution area can be improved.

Description

Technical Field

[0001] The present application relates to the technical field of power systems, and in particular to a method, device, computer equipment, storage medium and computer program product for determining the flexibility of controllable resources in an area. Background Art

[0002] With the large-scale grid connection of distributed energy, how to organize and manage distributed energy and give full play to its flexibility has become a major difficulty.

[0003] The distribution substation integrates a variety of distributed energy sources and abundant flexibility resources. However, the flexibility resources in the distribution substation have complex and numerous operating constraints. This feature makes it difficult for each flexibility resource to directly participate in the upper-level scheduling, and the flexibility cannot be fully utilized. Most existing methods evaluate the overall flexibility of the system, and cannot make a detailed evaluation of different flexibility resources, resulting in inaccurate resource scheduling.

[0004] Therefore, there is a problem in the traditional technology of inaccurate resource scheduling of the distribution station area. Summary of the invention

[0005] Based on this, it is necessary to provide a method, device, computer equipment, computer-readable storage medium and computer program product for determining the flexibility of controllable resources in a distribution station area, which can improve the accuracy of resource scheduling in the distribution station area, in order to address the above technical problems.

[0006] A method for determining the flexibility of controllable resources in a substation, characterized in that the method comprises:

[0007] Obtaining the operating status data corresponding to each controllable resource object in the distribution station area, and determining a resource adjustable capacity determination model for each controllable resource object;

[0008] For any controllable resource object, the operation status data corresponding to the controllable resource object is input into the resource adjustable capacity determination model corresponding to the controllable resource object, the operation status data corresponding to the controllable resource object is processed by the resource adjustable capacity determination model corresponding to the controllable resource object, and the flexibility information corresponding to the controllable resource object is output; the flexibility information corresponding to the controllable resource object represents the scheduling flexibility of the controllable resource object in the resource scheduling process;

[0009] According to the flexibility information corresponding to each controllable resource object, the overall flexibility information of the controllable resources in the distribution substation is determined; the overall flexibility information of the controllable resources represents the overall scheduling flexibility of the distribution substation in the resource scheduling process; the overall flexibility information of the controllable resources and the flexibility information corresponding to each controllable resource object are used as resource scheduling indication information of the power network to instruct the power network to perform resource scheduling.

[0010] In an exemplary embodiment, the controllable resource objects of the power distribution area include distributed power sources in the power distribution area, and the resource adjustable capacity determination model corresponding to the distributed power sources is expressed as:

[0011] F G =UF G +DF G ;

[0012] Among them, F G Characterizing the flexibility information of distributed generation, UF G Characterize the upward regulation capability information of distributed generation, DF G Characterize the down-regulation capability information of distributed generation;

[0013] Distributed power generation capacity information UF G The determination method is expressed as:

[0014]

[0015] Distributed power generation down regulation capability information DF G The determination method is expressed as:

[0016]

[0017] in, Characterizes the maximum upward power of distributed power generation, Characterizes the maximum down-regulated power of distributed power sources, Characterizes the available upregulated power of distributed generation, Characterize the available down-regulation power of distributed generation;

[0018] Available up-regulated power of distributed generation The determination method is expressed as:

[0019]

[0020] Available down-regulated power of distributed generation The determination method is expressed as:

[0021]

[0022] in, Characterizes the maximum output of distributed power generation, Characterizes the minimum output of distributed generation, P t G Characterize the output of distributed generation in the current state.

[0023] In an exemplary embodiment, the controllable resource objects of the power distribution area include energy storage in the power distribution area, and the resource adjustable capacity determination model corresponding to the energy storage is expressed as:

[0024] F ESS =UF ESS +DF ESS ;

[0025] Among them, F ESS Characterizing the flexibility information of energy storage, UF ESS Characterize the upward adjustment ability of energy storage, DF ESS Characterize the down-regulation capability information of energy storage;

[0026] Energy storage capacity increase information UF ESS The determination method is expressed as:

[0027]

[0028] Energy storage down-regulation capability information DF ESS The determination method is expressed as:

[0029]

[0030] in, Characterizes the maximum discharge power of energy storage, Characterizes the maximum charging power of energy storage, Characterizes the available up-regulation power of energy storage, Characterizes the available down-regulation power of energy storage;

[0031] Available up-regulation power of energy storage The determination method is expressed as:

[0032]

[0033] Available down-regulation power of energy storage The determination method is expressed as:

[0034]

[0035] in, Characterizes the maximum state of charge of energy storage, Characterizes the minimum state of charge for energy storage, Characterizes the current state of charge of the energy storage, η cha Characterizes the charging efficiency of energy storage, η dis Characterizes the discharge efficiency of energy storage.

[0036] In an exemplary embodiment, the controllable resource objects of the power distribution area include the demand response side in the power distribution area, and the resource adjustable capacity determination model corresponding to the demand response side is expressed as:

[0037]

[0038] Among them, F DR Characterize the flexibility information on the demand response side, Characterize the adjustable load on the demand response side, Characterizes the current load on the demand response side.

[0039] In an exemplary embodiment, the overall flexibility information of controllable resources in a distribution station area is determined as follows:

[0040]

[0041] Among them, F S Characterizes the overall flexibility information of controllable resources in the distribution area, F s represents the flexibility information of any controllable resource object in the distribution area, S represents the set of controllable resource objects in the distribution area, ω s Characterizes the flexibility information weight of any controllable resource object.

[0042] In an exemplary embodiment, the flexibility information weight of any controllable resource object is determined as follows:

[0043]

[0044] Among them, Cap s Characterizes the rated capacity of any controllable resource object in the distribution station area.

[0045] A device for determining the flexibility of controllable resources in a substation, the device comprising:

[0046] An acquisition module is used to acquire the operation status data corresponding to each controllable resource object in the distribution station area, and determine a resource adjustable capacity determination model for each controllable resource object;

[0047] An input module is used for inputting the operation status data corresponding to any controllable resource object into the resource adjustable capacity determination model corresponding to the controllable resource object, processing the operation status data corresponding to the controllable resource object through the resource adjustable capacity determination model corresponding to the controllable resource object, and outputting the flexibility information corresponding to the controllable resource object; the flexibility information corresponding to the controllable resource object represents the scheduling flexibility of the controllable resource object in the resource scheduling process;

[0048] A determination module is used to determine the overall flexibility information of controllable resources in a distribution substation according to the flexibility information corresponding to each controllable resource object; the overall flexibility information of controllable resources represents the overall scheduling flexibility of the distribution substation in the resource scheduling process; the overall flexibility information of controllable resources and the flexibility information corresponding to each controllable resource object are used as resource scheduling indication information of the power network to instruct the power network to perform resource scheduling.

[0049] A computer device includes a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the above method when executing the computer program.

[0050] A computer-readable storage medium stores a computer program, which implements the steps of the above method when executed by a processor.

[0051] A computer program product comprises a computer program, which implements the steps of the above method when executed by a processor.

[0052] The above-mentioned method, device, computer equipment, storage medium and computer program product for determining the flexibility of controllable resources in the distribution station area obtain the operating status data corresponding to each controllable resource object in the distribution station area, and determine the resource adjustable capacity determination model for each controllable resource object; for any controllable resource object, the operating status data corresponding to the controllable resource object is input into the resource adjustable capacity determination model corresponding to the controllable resource object, the operating status data corresponding to the controllable resource object is processed by the resource adjustable capacity determination model corresponding to the controllable resource object, and the flexibility information corresponding to the controllable resource object is output; the flexibility information corresponding to the controllable resource object represents the scheduling flexibility of the controllable resource object in the resource scheduling process; according to each The flexibility information corresponding to the controllable resource objects determines the overall flexibility information of the controllable resources in the distribution substation; the overall flexibility information of the controllable resources characterizes the overall scheduling flexibility of the distribution substation in the resource scheduling process; the overall flexibility information of the controllable resources and the flexibility information corresponding to each controllable resource object are used as resource scheduling indication information of the power network, instructing the power network to perform resource scheduling; in this way, the flexibility of different controllable resource objects can be quantitatively evaluated, and by establishing an effective resource adjustable capacity determination model, a quantitative evaluation method for the flexibility of the resources in the entire distribution substation is formed, which also takes into account the needs of real-time operation, can adapt to the rapid changes in the power market and system conditions, and can improve the accuracy of real-time resource scheduling in the distribution substation. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the related technologies, the drawings required for use in the embodiments or the related technical descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0054] Figure 1 A diagram of an application environment of a method for determining flexibility of controllable resources in a substation in an embodiment;

[0055] Figure 2A schematic diagram of a flow chart of a method for determining flexibility of controllable resources in a substation in an embodiment;

[0056] Figure 3 A schematic diagram of a flow chart of a method for evaluating flexibility of controllable resources in a metropolitan area in one embodiment;

[0057] Figure 4 A schematic diagram of a flow chart of a method for determining flexibility of controllable resources in a substation in another embodiment;

[0058] Figure 5 A structural block diagram of a device for determining flexibility of controllable resources in a substation in an embodiment;

[0059] Figure 6 FIG. 4 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0060] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0061] The method for determining the flexibility of controllable resources in a substation provided in the embodiment of the present application can be applied to the following examples: Figure 1In the application environment shown, the terminal 102 communicates with the server 104 through a network. The data storage system can store data that the server 104 needs to process. The data storage system can be integrated on the server 104, or placed on the cloud or other network servers. The server 104 obtains the operation status data corresponding to each controllable resource object in the distribution substation, and determines the resource adjustable capacity determination model for each controllable resource object; for any controllable resource object, the server 104 inputs the operation status data corresponding to the controllable resource object into the resource adjustable capacity determination model corresponding to the controllable resource object, processes the operation status data corresponding to the controllable resource object through the resource adjustable capacity determination model corresponding to the controllable resource object, and outputs the flexibility information corresponding to the controllable resource object; the flexibility information corresponding to the controllable resource object represents the scheduling flexibility of the controllable resource object in the resource scheduling process; the server 104 determines the overall flexibility information of the controllable resources in the distribution substation according to the flexibility information corresponding to each controllable resource object; the overall flexibility information of the controllable resources represents the overall scheduling flexibility of the distribution substation in the resource scheduling process; the overall flexibility information of the controllable resources and the flexibility information corresponding to each controllable resource object are used as resource scheduling indication information of the power network, indicating the power network to perform resource scheduling. Among them, the terminal 102 can be, but is not limited to, various personal computers, laptops, smart phones, tablet computers, Internet of Things devices and portable wearable devices, and the Internet of Things devices can be smart speakers, smart TVs, smart air conditioners, smart car-mounted devices, etc. The portable wearable device may be a smart watch, a smart bracelet, a head-mounted device, etc. The server 104 may be implemented as an independent server or a server cluster consisting of multiple servers.

[0062] In an exemplary embodiment, Figure 2 As shown, a method for determining the flexibility of controllable resources in a substation is provided. Figure 1 The server 104 in the example is used as an example to illustrate the method, which includes the following steps 202 to 206. Among them:

[0063] Step 202: acquiring the operation status data corresponding to each controllable resource object in the distribution station area, and determining a resource adjustable capacity determination model for each controllable resource object.

[0064] Among them, controllable resource objects can be distributed power sources, energy storage, and demand response loads.

[0065] Among them, the operating status data can be the maximum upward power, maximum downward power, available upward power, available downward power, maximum output, minimum output, and output in the current state of the distributed power source; it can be the maximum discharge power, maximum charging power, available upward power, available downward power, maximum state of charge, minimum state of charge, current state of charge, charging efficiency, discharge efficiency of the energy storage; it can also be the adjustable load and current load of demand response.

[0066] The resource adjustable capacity determination model corresponding to the controllable resource object may refer to a data processing model used to evaluate the flexibility of the controllable resource.

[0067] Optionally, the server obtains the operation status data corresponding to each controllable resource object in the power distribution area, and determines a resource adjustable capacity determination model for each controllable resource object.

[0068] For example, the server obtains the maximum upward power, maximum downward power, available upward power, available downward power, maximum output, minimum output, and output in the current state of the distributed power sources in the distribution station area, as well as the maximum discharge power, maximum charging power, available upward power, available downward power, maximum state of charge, minimum state of charge, current state of charge, charging efficiency, discharge efficiency of the energy storage in the distribution station area, and the adjustable load and current load of the demand response in the distribution station area, and determines the resource adjustable capacity evaluation and analysis model for the distributed power sources, energy storage and demand response load.

[0069] Step 204, for any controllable resource object, input the operating status data corresponding to the controllable resource object into the resource adjustable capacity determination model corresponding to the controllable resource object, process the operating status data corresponding to the controllable resource object through the resource adjustable capacity determination model corresponding to the controllable resource object, and output the flexibility information corresponding to the controllable resource object; the flexibility information corresponding to the controllable resource object represents the scheduling flexibility of the controllable resource object in the resource scheduling process.

[0070] The flexibility information corresponding to the controllable resource object may refer to the flexibility value of the controllable resource object.

[0071] The resource scheduling process may refer to the process of scheduling various controllable resources in the distribution station area.

[0072] Optionally, for any controllable resource object, the server inputs the operating status data corresponding to the controllable resource object into the resource adjustable capacity determination model corresponding to the controllable resource object, processes the operating status data corresponding to the controllable resource object through the resource adjustable capacity determination model corresponding to the controllable resource object, outputs the flexibility information corresponding to the controllable resource object, and determines the flexibility of the controllable resource object during the resource scheduling process.

[0073] In practical applications, the operating status data corresponding to different controllable resource objects can be input into the resource adjustable capacity determination model corresponding to different controllable resource objects, and the scheduling flexibility of different controllable resource objects can be accurately determined according to the operating status and characteristics of different controllable resource objects.

[0074] Step 206, based on the flexibility information corresponding to each controllable resource object, determine the overall flexibility information of the controllable resources of the distribution substation; the overall flexibility information of the controllable resources represents the overall scheduling flexibility of the distribution substation in the resource scheduling process; the overall flexibility information of the controllable resources and the flexibility information corresponding to each controllable resource object are used as resource scheduling indication information of the power network, instructing the power network to perform resource scheduling.

[0075] The resource scheduling indication information may be used as a basis for resource configuration of the power distribution area to guide the configuration of controllable resources in the power distribution area.

[0076] Optionally, the server determines the overall flexibility information of the controllable resources of the distribution station area according to the flexibility information corresponding to each controllable resource object.

[0077] In the above-mentioned method for determining the flexibility of controllable resources in the substation area, the operating status data corresponding to each controllable resource object in the distribution substation area is obtained, and a resource adjustable capacity determination model for each controllable resource object is determined; for any controllable resource object, the operating status data corresponding to the controllable resource object is input into the resource adjustable capacity determination model corresponding to the controllable resource object, the operating status data corresponding to the controllable resource object is processed by the resource adjustable capacity determination model corresponding to the controllable resource object, and the flexibility information corresponding to the controllable resource object is output; the flexibility information corresponding to the controllable resource object represents the scheduling flexibility of the controllable resource object in the resource scheduling process; according to the flexibility information corresponding to each controllable resource object The overall flexibility information of controllable resources in the distribution substation is determined by the controllable resource information; the overall flexibility information of controllable resources represents the overall scheduling flexibility of the distribution substation in the resource scheduling process; the overall flexibility information of controllable resources and the flexibility information corresponding to each controllable resource object are used as resource scheduling indication information of the power network to instruct the power network to perform resource scheduling; in this way, the flexibility of different controllable resource objects can be quantitatively evaluated, and by establishing an effective resource adjustable capacity determination model, a quantitative evaluation method for the flexibility of the resources in the entire distribution substation is formed, which also takes into account the needs of real-time operation, can adapt to the rapid changes in the power market and system conditions, and can improve the accuracy of real-time resource scheduling in the distribution substation.

[0078] In an exemplary embodiment, the controllable resource objects in the power distribution area include distributed power sources in the power distribution area, and the resource adjustable capacity determination model corresponding to the distributed power sources is expressed as: G =UFG +DF G ; Among them, F G Characterizing the flexibility information of distributed generation, UF G Characterize the upward regulation capability information of distributed generation, Df G Characterizes the downward adjustment capability information of distributed power sources; the upward adjustment capability information UF of distributed power sources G The determination method is expressed as: Distributed power generation down regulation capability information DF G The determination method is expressed as: in, Characterizes the maximum upward power of distributed power generation, Characterizes the maximum down-regulated power of distributed power sources, Characterizes the available upregulated power of distributed generation, Characterizes the available downward power of distributed power generation; the available upward power of distributed power generation The determination method is expressed as: Available down-regulated power of distributed generation The determination method is expressed as: in, Characterizes the maximum output of distributed power generation, Characterizes the minimum output of distributed generation, P t G Characterize the output of distributed generation in the current state.

[0079] Optionally, the server obtains the maximum output of the distributed power source Minimum output and the output P in the current state t G , Maximum power increase Maximum down-regulation power Then, first set the maximum output Minimum output and the output P in the current state t G Substitution and Get the available increased power of distributed power generation and available down-regulated power The server will then increase the available power Divide by the maximum up-regulated power Get the upward adjustment capability UF of distributed power generation G , the available power will be reduced Divide by the maximum down-regulated power Get the downregulation capability DF of distributed generation G .

[0080] In this embodiment, the obtained operating status data of the distributed power source, that is, the obtained maximum output data, minimum output data and output data in the current state, maximum power increase data, and maximum power decrease data of the distributed power source, are input into a resource adjustable capacity determination model for evaluating the flexibility of the distributed power source, thereby determining the upward adjustment capacity information and the downward adjustment capacity information of the distributed power source, taking into account the needs of real-time operation, and being able to adapt to real-time changes in the power market and system conditions, thereby accurately evaluating the upward adjustment capacity and downward adjustment capacity of the distributed power source at the current moment.

[0081] In an exemplary embodiment, the controllable resource objects in the power distribution area include energy storage in the power distribution area, and the resource adjustable capacity determination model corresponding to the energy storage is expressed as: ESS =UF ESS +DF ESS ;

[0082] Among them, F ESS Characterizing the flexibility information of energy storage, UF ESS Characterize the upward adjustment ability of energy storage, DF ESS Characterizes the downward adjustment capability information of energy storage; the upward adjustment capability information of energy storage UF ESS The determination method is expressed as: Energy storage down-regulation capability information DF ESS The determination method is expressed as: in, Characterizes the maximum discharge power of energy storage, Characterizes the maximum charging power of energy storage, Characterizes the available up-regulation power of energy storage, Characterizes the available downward power of energy storage; the available upward power of energy storage The determination method is expressed as: Available down-regulation power of energy storage The determination method is expressed as: in, Characterizes the maximum state of charge of energy storage, Characterizes the minimum state of charge for energy storage, Characterizes the current state of charge of the energy storage, η cha Characterizes the charging efficiency of energy storage, η dis Characterizes the discharge efficiency of energy storage.

[0083] Optionally, the server obtains the maximum state of charge of the energy storage Minimum state of charge Current state of charge Charging efficiency η cha , discharge efficiency η dis , Maximum discharge power Maximum charging power After that, the maximum state of charge Minimum state of charge Current state of charge Charging efficiency η cha , discharge efficiency η dis , Maximum discharge power Maximum charging power Input to and Get available up-regulated power and available down-regulated power Then, the available power increase Divide by the maximum discharge power Get the energy storage's upward adjustment capability index and adjust the available downward power Divide by the maximum charging power Get the downward adjustment capability index of energy storage.

[0084] In this embodiment, after the acquired operating status data of the energy storage, namely the maximum state of charge data, the minimum state of charge data, the current state of charge data, the charging efficiency data, the discharge efficiency data, the maximum discharge power data, and the maximum charging power data are acquired, these data are input into a resource adjustable capacity determination model for evaluating the flexibility of the energy storage, thereby determining the upward adjustment capacity information and the downward adjustment capacity information of the energy storage, taking into account the needs of real-time operation, and being able to adapt to real-time changes in the power market and system conditions, thereby accurately evaluating the flexibility of the energy storage at the current moment.

[0085] In an exemplary embodiment, the controllable resource objects of the power distribution area include the demand response side in the power distribution area, and the resource adjustable capacity determination model corresponding to the demand response side is expressed as: Among them, F DR Characterize the flexibility information on the demand response side, Characterize the adjustable load on the demand response side, Characterizes the current load on the demand response side.

[0086] Optionally, the server obtains the operating status data of the demand response side, that is, the load and current load After that, the adjustable load Divide by the current load Get flexibility on the demand response side.

[0087] In this embodiment, by acquiring the operating status data of the demand response side and inputting the operating status data of the demand response side into a resource adjustable capacity determination model for evaluating the flexibility of the demand response side, the need for real-time operation is taken into account, and it can adapt to real-time changes in the power market and system conditions, thereby accurately evaluating the flexibility of the demand response side at the current moment.

[0088] In an exemplary embodiment, the overall flexibility information of controllable resources in a distribution station area is determined as follows: Among them, F S Characterizes the overall flexibility information of controllable resources in the distribution area, F s represents the flexibility information of any controllable resource object in the distribution area, S represents the set of controllable resource objects in the distribution area, ω s Characterizes the flexibility information weight of any controllable resource object.

[0089] Optionally, after obtaining the flexibility information of each controllable resource object, the server obtains the flexibility information weight of each controllable resource object, weights the flexibility information of each controllable resource object by the flexibility information weight of each controllable resource object, and uses the weighted value as the overall flexibility of the controllable resources. For example, after obtaining the flexibility values ​​of the distributed power supply, energy storage and demand response side, the flexibility weight coefficients corresponding to the distributed power supply, energy storage and demand response side are obtained, and the flexibility weight coefficients corresponding to the distributed power supply, energy storage and demand response side are used to perform weighted summation on the flexibility values ​​of the distributed power supply, energy storage and demand response side to obtain the overall flexibility value of the controllable resources in the distribution station area.

[0090] In this embodiment, based on the flexibility information of each controllable resource object, the overall flexibility of the controllable resources in the distribution station area can be obtained by performing weighted summation on the flexibility information of each controllable resource object. Based on the specific quantitative evaluation of the flexibility of multiple controllable resource objects, the flexibility can be evaluated as a whole, which is conducive to accurate resource optimization configuration.

[0091] In an exemplary embodiment, the flexibility information weight of any controllable resource object is determined as follows: Among them, Cap s Characterizes the rated capacity of any controllable resource object in the distribution station area.

[0092] Optionally, the server adds up the rated capacity of each controllable resource object to obtain a sum result, and divides the rated capacity of each controllable resource object by the sum result to obtain a flexibility information weight coefficient of each controllable resource object.

[0093] For example, the rated capacities of distributed power sources, energy storage, and demand response are added together to obtain the sum, and the rated capacities of distributed power sources, energy storage, and demand response are divided by the sum respectively to obtain the flexibility information weights corresponding to the distributed power sources, energy storage, and demand response sides.

[0094] In this embodiment, by adding the rated capacity of each controllable resource object to obtain the added result, and dividing the rated capacity of each controllable resource object by the added result, the flexibility information weight of each controllable resource object can be obtained, so as to accurately determine the impact of the flexibility of different controllable resource objects on the overall flexibility of controllable resources in the distribution station area, thereby improving the accuracy of evaluating the overall flexibility of controllable resources.

[0095] In order to facilitate the understanding of those skilled in the art, Figure 3 An exemplary method for evaluating the flexibility of controllable resources in a substation is provided. The distributed power supply flexibility index, energy storage flexibility index and demand response load flexibility index are first calculated, and then the overall resource flexibility index of the substation is calculated. For specific steps, please refer to the detailed contents in the above embodiments. Regarding the flexibility index, it has different uses in different scenarios. For example, when optimizing resource allocation, quantitative evaluation of controllable resources in the substation can help operators identify and quantify the value and potential of different flexibility resources, so as to make more reasonable decisions in resource allocation, including determining which resources should be given priority and how to effectively use these resources in different power grid areas and application scenarios; in the power market, quantitative evaluation of flexibility resources in the substation can provide necessary information for market participants, helping them to formulate strategies, optimize quotations and improve market efficiency; in the planning and design of the substation system, quantitative evaluation of controllable resources in the substation can better understand and evaluate the operating performance of the substation, and provide important reference for the planning and design of the substation, which helps to consider future flexibility needs in the design stage of the substation, thereby improving the anti-interference ability and adaptability of the system.

[0096] In another embodiment, Figure 4 As shown, a method for determining the flexibility of controllable resources in a substation is provided. Figure 1 Taking the server 104 in the example as an example, the following steps are included:

[0097] Step S402: acquiring the operation status data corresponding to each controllable resource object in the power distribution area, and determining a resource adjustable capacity determination model for each controllable resource object.

[0098] Step S404, for any of the controllable resource objects, input the operating status data corresponding to the controllable resource object into the resource adjustable capacity determination model corresponding to the controllable resource object, process the operating status data corresponding to the controllable resource object through the resource adjustable capacity determination model corresponding to the controllable resource object, and output the flexibility information corresponding to the controllable resource object; the flexibility information corresponding to the controllable resource object represents the scheduling flexibility of the controllable resource object in the resource scheduling process.

[0099] Step S406: Obtain the flexibility information weight for each of the controllable resource objects.

[0100] Step S408, using the flexibility information weight of each of the controllable resource objects, adjust the flexibility information corresponding to each of the controllable resource objects to obtain the overall flexibility information of the controllable resources of the distribution substation; the overall flexibility information of the controllable resources represents the overall scheduling flexibility of the distribution substation in the resource scheduling process; the overall flexibility information of the controllable resources and the flexibility information corresponding to each of the controllable resource objects are used as resource scheduling indication information of the power network to instruct the power network to perform resource scheduling.

[0101] It should be noted that the specific limitations of the above steps can refer to the specific limitations of a method for determining the flexibility of controllable resources in a substation above.

[0102] It should be understood that, although the various steps in the flowcharts involved in the above-mentioned embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-mentioned embodiments can include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0103] Based on the same inventive concept, the embodiment of the present application also provides a device for determining the flexibility of controllable resources in a substation for implementing the above-mentioned method for determining the flexibility of controllable resources in a substation. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above-mentioned method, so the specific limitations in one or more embodiments of the device for determining the flexibility of controllable resources in a substation provided below can refer to the limitations of the method for determining the flexibility of controllable resources in a substation above, and will not be repeated here.

[0104] In an exemplary embodiment, Figure 5 As shown, a device for determining the flexibility of controllable resources in a substation is provided, comprising: an acquisition module 502, an input module 504 and a determination module 506, wherein:

[0105] The acquisition module 502 is used to acquire the operation status data corresponding to each controllable resource object in the distribution station area, and determine the resource adjustable capacity determination model for each controllable resource object;

[0106] An input module 504 is used for inputting the operation status data corresponding to any controllable resource object into the resource adjustable capacity determination model corresponding to the controllable resource object, processing the operation status data corresponding to the controllable resource object through the resource adjustable capacity determination model corresponding to the controllable resource object, and outputting the flexibility information corresponding to the controllable resource object; the flexibility information corresponding to the controllable resource object represents the scheduling flexibility of the controllable resource object in the resource scheduling process;

[0107] Determination module 506 is used to determine the overall flexibility information of controllable resources of the distribution substation according to the flexibility information corresponding to each controllable resource object; the overall flexibility information of controllable resources represents the overall scheduling flexibility of the distribution substation in the resource scheduling process; the overall flexibility information of controllable resources and the flexibility information corresponding to each controllable resource object are used as resource scheduling indication information of the power network, instructing the power network to perform resource scheduling.

[0108] In an exemplary embodiment, the controllable resource objects in the power distribution area include distributed power sources in the power distribution area, and the resource adjustable capacity determination model corresponding to the distributed power sources is expressed as: G =UF G +DF G ; Among them, F G Characterizing the flexibility information of distributed generation, UF G Characterize the upward regulation capability information of distributed generation, DF G Characterizes the downward adjustment capability information of distributed power sources; the upward adjustment capability information UF of distributed power sources G The determination method is expressed as: Distributed power generation down regulation capability information DF G The determination method is expressed as: in, Characterizes the maximum upward power of distributed power generation, Characterizes the maximum down-regulated power of distributed power sources, Characterizes the available upregulated power of distributed generation, Characterizes the available downward power of distributed power generation; the available upward power of distributed power generation The determination method is expressed as: Available down-regulated power of distributed generation The determination method is expressed as: in, Characterizes the maximum output of distributed power generation, Characterizes the minimum output of distributed generation, P t G Characterize the output of distributed generation in the current state.

[0109] In an exemplary embodiment, the controllable resource objects in the power distribution area include energy storage in the power distribution area, and the resource adjustable capacity determination model corresponding to the energy storage is expressed as: ESS =UF ESS +DF ESS ; Among them, F ESS Characterizing the flexibility information of energy storage, UF ESS Characterize the upward adjustment ability of energy storage, DF ESS Characterizes the downward adjustment capability information of energy storage; the upward adjustment capability information of energy storage UF ESS The determination method is expressed as: Energy storage down-regulation capability information DF ESS The determination method is expressed as: in, Characterizes the maximum discharge power of energy storage, Characterizes the maximum charging power of energy storage, Characterizes the available up-regulation power of energy storage, Characterizes the available downward power of energy storage; the available upward power of energy storage The determination method is expressed as: Available down-regulation power of energy storage The determination method is expressed as: in, Characterizes the maximum state of charge of energy storage, Characterizes the minimum state of charge for energy storage, Characterizes the current state of charge of the energy storage, η cha Characterizes the charging efficiency of energy storage, η dis Characterizes the discharge efficiency of energy storage.

[0110] In an exemplary embodiment, the controllable resource objects of the power distribution area include the demand response side in the power distribution area, and the resource adjustable capacity determination model corresponding to the demand response side is expressed as: Among them, F DR Characterize the flexibility information on the demand response side, Characterize the adjustable load on the demand response side, Characterizes the current load on the demand response side.

[0111] In an exemplary embodiment, the overall flexibility information of controllable resources in a distribution station area is determined as follows: Among them, F S Characterizes the overall flexibility information of controllable resources in the distribution area, F s represents the flexibility information of any controllable resource object in the distribution area, S represents the set of controllable resource objects in the distribution area, ω s Characterizes the flexibility information weight of any controllable resource object.

[0112] In an exemplary embodiment, the flexibility information weight of any controllable resource object is determined as follows: Among them, Cap s Characterizes the rated capacity of any controllable resource object in the distribution station area.

[0113] Each module in the above-mentioned controllable resource flexibility determination device can be implemented in whole or in part by software, hardware and their combination. Each of the above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory in the computer device in the form of software, so that the processor can call and execute the operations corresponding to each of the above modules.

[0114] In an exemplary embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as shown in FIG. Figure 6 As shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, referred to as I / O) and a communication interface. Among them, the processor, the memory and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store data for determining the flexibility of controllable resources in the area. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a method for determining the flexibility of controllable resources in the area is implemented.

[0115] Those skilled in the art will understand that Figure 6 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0116] In one embodiment, a computer device is provided, including a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor executes the steps of the above-mentioned method for determining the flexibility of controllable resources in a metropolitan area. The steps of the method for determining the flexibility of controllable resources in a metropolitan area may be the steps of the method for determining the flexibility of controllable resources in a metropolitan area in each of the above-mentioned embodiments.

[0117] In one embodiment, a computer-readable storage medium is provided, which stores a computer program. When the computer program is executed by a processor, the processor executes the steps of the above-mentioned method for determining the flexibility of controllable resources in a substation. The steps of the method for determining the flexibility of controllable resources in a substation can be the steps of the method for determining the flexibility of controllable resources in a substation in each of the above-mentioned embodiments.

[0118] In one embodiment, a computer program product is provided, including a computer program, which, when executed by a processor, causes the processor to execute the steps of the above-mentioned method for determining the flexibility of controllable resources in a metropolitan area. The steps of the method for determining the flexibility of controllable resources in a metropolitan area may be the steps of the method for determining the flexibility of controllable resources in a metropolitan area in each of the above-mentioned embodiments.

[0119] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but are not limited to this.

[0120] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0121] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A method for determining the flexibility of controllable resources in a substation, characterized in that: The method comprises: Obtaining operation status data corresponding to each controllable resource object in the distribution station area, and determining a resource adjustable capacity determination model for each of the controllable resource objects; For any of the controllable resource objects, the operation status data corresponding to the controllable resource object is input into the resource adjustable capacity determination model corresponding to the controllable resource object, the operation status data corresponding to the controllable resource object is processed by the resource adjustable capacity determination model corresponding to the controllable resource object, and the flexibility information corresponding to the controllable resource object is output; the flexibility information corresponding to the controllable resource object represents the scheduling flexibility of the controllable resource object in the resource scheduling process; According to the flexibility information corresponding to each of the controllable resource objects, the overall flexibility information of the controllable resources of the distribution substation is determined; the overall flexibility information of the controllable resources represents the overall scheduling flexibility of the distribution substation in the resource scheduling process; the overall flexibility information of the controllable resources and the flexibility information corresponding to each of the controllable resource objects are used as resource scheduling indication information of the power network, instructing the power network to perform resource scheduling.

2. The method according to claim 1, characterized in that: The controllable resource objects in the power distribution area include distributed power sources in the power distribution area, and the resource adjustable capacity determination model corresponding to the distributed power sources is expressed as: F G =UF G +DF G ; Among them, F G Characterize the flexibility information of the distributed generation, UF G Characterize the upward regulation capability information of the distributed generation, DF G Characterizing the down-regulation capability information of the distributed power source; The distributed generation capacity information UF G The determination method is expressed as: The down regulation capability information DF of the distributed generation G The determination method is expressed as: in, Characterizes the maximum upward power of the distributed power source, Characterizes the maximum down-regulated power of the distributed power source, Characterizes the available upregulated power of the distributed generation, Characterizing the available down-regulated power of the distributed power source; The available increased power of the distributed generation The determination method is expressed as: The available reduced power of the distributed generation The determination method is expressed as: in, Characterize the maximum output of the distributed power source, Characterizes the minimum output of the distributed generation, P t G Characterizes the output of the distributed power source in the current state.

3. The method according to claim 1, characterized in that The controllable resource object of the power distribution substation includes energy storage in the power distribution substation, and the resource adjustable capacity determination model corresponding to the energy storage is expressed as: F ESS =UF ESS +DF ESS ; Among them, F ESS Characterizing the flexibility of the energy storage, UF ESS Characterize the upward adjustment capability information of the energy storage, DF ESS Characterizing the down-regulation capability information of the energy storage; The energy storage capacity information UF ESS The determination method is expressed as: The down regulation capability information DF of the energy storage ESS The determination method is expressed as: in, Characterizing the maximum discharge power of the energy storage, Characterizing the maximum charging power of the energy storage, Characterizes the available up-regulation power of the energy storage, Characterizing the available down-regulation power of the energy storage; The available up-regulation power of the energy storage The determination method is expressed as: The available down-regulation power of the energy storage The determination method is expressed as: in, Characterizing the maximum state of charge of the energy storage, Characterizes the minimum state of charge of the energy storage, Characterizes the current state of charge of the energy storage, η cha Characterize the charging efficiency of the energy storage, η dis Characterizes the discharge efficiency of the energy storage.

4. The method according to claim 1, characterized in that The controllable resource object of the power distribution area includes the demand response side in the power distribution area, and the resource adjustable capacity determination model corresponding to the demand response side is expressed as: Among them, F DR Characterizing flexibility information of the demand response side, Characterize the adjustable load on the demand response side, Characterize the current load of the demand response side.

5. The method according to claim 1, characterized in that The overall flexibility information of the controllable resources in the distribution station area is determined in the following manner: Among them, F S Characterizes the overall flexibility information of the controllable resources in the distribution area, F s represents the flexibility information of any controllable resource object in the power distribution area, S represents the set of controllable resource objects in the power distribution area, ω s Characterize the flexibility information weight of any of the controllable resource objects.

6. The method according to claim 5, characterized in that The method for determining the flexibility information weight of any of the controllable resource objects is expressed as follows: Among them, Cap s Characterizes the rated capacity of any of the controllable resource objects in the distribution station area.

7. A device for determining the flexibility of controllable resources in a substation, characterized in that: The device comprises: An acquisition module, used to acquire the operation status data corresponding to each controllable resource object in the distribution station area, and determine a resource adjustable capacity determination model for each of the controllable resource objects; An input module, for inputting, for any of the controllable resource objects, the operating status data corresponding to the controllable resource object into a resource adjustable capacity determination model corresponding to the controllable resource object, processing the operating status data corresponding to the controllable resource object through the resource adjustable capacity determination model corresponding to the controllable resource object, and outputting flexibility information corresponding to the controllable resource object; the flexibility information corresponding to the controllable resource object represents the scheduling flexibility of the controllable resource object in the resource scheduling process; A determination module is used to determine the overall flexibility information of the controllable resources of the distribution substation according to the flexibility information corresponding to each of the controllable resource objects; the overall flexibility information of the controllable resources represents the overall scheduling flexibility of the distribution substation in the resource scheduling process; the overall flexibility information of the controllable resources and the flexibility information corresponding to each of the controllable resource objects are used as resource scheduling indication information of the power network, instructing the power network to perform resource scheduling.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

9. 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 method according to any one of claims 1 to 6 are implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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