Power utilization resource allocation method and device, electronic equipment and storage medium

Abstract

The invention provides a power utilization resource allocation method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring a target user and an allocation demand; determining superior line information of the target user from the plurality of power grid systems; determining at least one target aggregation control node and the capacity proportion of each target aggregation control node from the superior line information based on the distribution demand; and determining a power supply proportion of each target aggregation control node based on the capacity proportion, and performing adjustment capability distribution on the target user. Therefore, through the scheme, the problems of difficult monitoring and difficult scheduling caused by power supply of low-voltage user side resources to a power grid scheduling automation system and non-transparent calling paths due to various distributed source load resource types, dispersed grid-connected points and non-unique model definition of various aggregators can be solved; different control strategies can be determined, adjustment capability distribution according to design requirements or user requirements is realized, and the practicability of the scheme is improved.

Description

Technical Field

[0001] The present disclosure relates to the technical field of virtual power plants, and in particular to a method, device, electronic device and storage medium for allocating power resources. Background Art

[0002] In order to build a new power system with new energy as the main body, the development of the power grid faces new challenges: (1) A large number of diversified distributed flexible resources are connected to the power grid. These massive distributed resources are difficult to regulate through traditional centralized dispatching methods, and their flexibility potential cannot be fully utilized; (2) With the continuous development of the economy and society, the power consumption and power quality requirements of the power grid are constantly rising, and the power grid faces a certain degree of peak regulation, voltage regulation difficulties and congestion problems. The uncertainty and random volatility of flexible resources may have an unignorable impact on the safe and reliable operation of the power grid; (3) Building a larger power market is the trend of power market reform. At present, the construction of regional power markets has made important progress, but massive distributed flexible resources still lack effective ways and relevant mechanisms to participate in the regional unified power market, with limited profit margins and a lack of business models to support flexible resources to continue to participate in power grid regulation. The proposal of virtual power plants provides a new idea for solving these problems. Virtual power plants can participate in power grid operation by aggregating and coordinating massive distributed flexible resources on the user side, greatly improving the safety, reliability, economy and flexibility of power system operation, and assisting distributed resources to participate in multi-variety power market transactions. However, virtual power plants also face many difficulties in being connected to the public grid and participating in regional electricity markets.

[0003] As an emerging factor participating in the electricity market, the distributed source and load resources that are widely present on the user side have not been uniformly modeled and managed in the traditional power grid power dispatching automation system architecture, resulting in difficulties in the safety verification calculation and dispatching control required for the distributed source and load resources to participate in the electricity energy market in the clearing stage. Therefore, a user-side resource topology equivalence aggregation method that considers the power supply path is urgently needed in the existing technology. Summary of the invention

[0004] The present disclosure aims to solve one of the technical problems in the related art at least to some extent.

[0005] To this end, an object of the present disclosure is to propose a method for allocating power resources.

[0006] The second objective of the present disclosure is to provide a power resource allocation device.

[0007] A third objective of the present disclosure is to provide an electronic device.

[0008] A fourth object of the present disclosure is to provide a non-transitory computer-readable storage medium.

[0009] A fifth object of the present disclosure is to provide a computer program product.

[0010] To achieve the above-mentioned purpose, the first aspect of the present disclosure proposes a method for allocating electricity resources, including: obtaining the target user to be allocated and the allocation demand; determining the upper-level line information of the target user from multiple power grid systems; determining at least one target aggregation control node and the capacity ratio of each target aggregation control node from the upper-level line information based on the allocation demand; determining the power supply ratio of each target aggregation control node based on the capacity ratio, and allocating adjustment capacity to the target user based on the power supply ratio and the target aggregation control node.

[0011] According to one embodiment of the present disclosure, determining at least one target aggregation control node from the upper-level line information based on the allocation requirement includes: acquiring at least one measurement point subordinate to the target user; and determining at least one target aggregation control node from the upper-level line information based on the allocation requirement and the measurement point.

[0012] According to one embodiment of the present disclosure, the determining of at least one target aggregation control node from the upper-level line information based on the allocation demand and the measurement point includes: in response to the allocation demand being 110kV global optimization, tracing back the upper-level line information based on the node of the measurement point until a 35kV substation bus or a 110kV substation bus is found and then stopping tracing; and using the traced 35kV substation bus or 110kV substation bus as the target aggregation control node.

[0013] According to one embodiment of the present disclosure, based on the allocation demand and the measurement point, determining at least one target aggregation control node from the upper-level line information includes: in response to the allocation demand being 220kV global optimization, tracing back upward in the upper-level line information based on the node corresponding to the measurement point until the 220kV substation bus is searched and then stopping tracing; and using the traced 220kV substation bus as the target aggregation control node.

[0014] According to one embodiment of the present disclosure, determining the upper-level line information of the target user from multiple power grid systems includes: obtaining measurement point information of each measurement point of the target user; determining transformer resource information from the power grid marketing and metering automation system based on the metering node information; determining feeder line information from the power grid marketing and metering automation system based on the transformer resource information; determining corresponding line structure information from the power grid distribution network dispatching automation system based on the feeder line information; obtaining municipal-level main network topology information from the power grid municipal-level bureau-level main network dispatching automation system based on the line structure information; and determining the upper-level line information of each measurement point of the target user based on the municipal-level main network topology information and the measurement point information.

[0015] According to one embodiment of the present disclosure, obtaining the measurement point information of each measurement point of the target user includes: querying the measurement point identifier corresponding to the user account number from the user-metering relationship table of the power grid marketing and metering automation system based on the user account number information of the target user.

[0016] According to one embodiment of the present disclosure, obtaining the capacity ratio of each target aggregation control node includes: for any target aggregation control node, obtaining resource capacity aggregation data of the target aggregation control node; and determining the capacity ratio of the target aggregation control node based on the resource capacity aggregation data.

[0017] To achieve the above-mentioned purpose, a second aspect of the present disclosure provides a power resource allocation device, including:

[0018] According to one embodiment of the present disclosure, the power resource allocation device is also used for: an acquisition module, used to acquire the target user to be allocated and the allocation demand; a determination module, used to determine the upper-level line information of the target user from multiple power grid systems; a screening module, used to determine at least one target aggregation control node and the capacity ratio of each target aggregation control node from the upper-level line information based on the allocation demand; an allocation module, used to determine the power supply ratio of each target aggregation control node based on the capacity ratio, and to adjust the capacity allocation to the target user based on the power supply ratio and the target aggregation control node.

[0019] To achieve the above-mentioned purpose, the third aspect embodiment of the present disclosure proposes an electronic device, comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to implement the power resource allocation method as described in the first aspect embodiment of the present disclosure.

[0020] To achieve the above-mentioned purpose, the fourth aspect embodiment of the present disclosure proposes a non-transitory computer-readable storage medium storing computer instructions, wherein the computer instructions are used to implement the power resource allocation method as described in the first aspect embodiment of the present disclosure.

[0021] To achieve the above-mentioned purpose, the fifth aspect of the present disclosure proposes a computer program product, including a computer program, which, when executed by a processor, is used to implement the power resource allocation method as described in the first aspect of the present disclosure.

[0022] Therefore, this solution can solve the problems of difficult monitoring and scheduling caused by the opaque power supply and call path of low-voltage user-side resources to the power grid dispatching automation system due to the large variety of distributed source and load resources, scattered grid connection points and non-unique model definitions of various aggregators. At the same time, by setting allocation requirements, different control strategies can be determined to achieve allocation of adjustment capacity according to design needs or user needs, thereby improving the practicality of this solution. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 is a schematic diagram of a method for allocating power resources according to an embodiment of the present disclosure;

[0024] Figure 2 is a schematic diagram of another method for allocating power resources according to an embodiment of the present disclosure;

[0025] Figure 3 is a schematic diagram of another method for allocating power resources according to an embodiment of the present disclosure;

[0026] Figure 4 is a schematic diagram of another method for allocating power resources according to an embodiment of the present disclosure;

[0027] Figure 5 is a schematic diagram of a power resource allocation device according to an embodiment of the present disclosure;

[0028] Figure 6 is a schematic diagram of an electronic device according to an embodiment of the present disclosure. DETAILED DESCRIPTION

[0029] Embodiments of the present disclosure are described in detail below, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present disclosure, and should not be construed as limiting the present disclosure.

[0030] The acquisition, storage, use, and processing of data in the technical solution disclosed in this disclosure are in compliance with the relevant provisions of relevant laws and regulations.

[0031] It should be noted that in the embodiments of the present application, certain software, components, models and other existing solutions in the industry may be mentioned, and they should be considered as exemplary. Their purpose is only to illustrate the feasibility of implementing the technical solution of the present application, but it does not mean that the applicant has or will necessarily use the solution.

[0032] Figure 1 is a schematic diagram of a method for allocating power resources according to an embodiment of the present disclosure, such as Figure 1 As shown, the power resource allocation method includes the following steps:

[0033] S101, obtaining target users to be allocated and allocation requirements.

[0034] The power resource allocation method of the embodiment of the present application can be applied to the scenario of allocating power supply paths and power supply points to specific users. The executor of the power resource allocation of the embodiment of the present application can be the power resource allocation device of the embodiment of the present application, which can be set on an electronic device.

[0035] It should be noted that the target users in the embodiments of the present disclosure may be of various types, and no limitation is made herein. For example, the target users may be users in residential areas, merchants, factories, and the like.

[0036] It should be noted that the allocation requirement is an allocation rule, which is set in advance and can be limited according to actual design needs or user power demand. For example, the allocation requirement can be to limit the specifications of the busbar, or to limit a specific area of ​​specific power supply.

[0037] S102, determining upper-level line information of a target user from multiple power grid systems.

[0038] In actual operation, since different information is widely present in the distributed source and load resources on the user side, there is no unified modeling and management in the traditional power grid power dispatching automation system architecture, which leads to difficulties in the participation of distributed source and load resources in the electric energy market, such as the need for safety verification calculation and dispatching control in the clearing stage.

[0039] In the present disclosure, corresponding data can be automatically acquired from multiple power grid systems to generate upper-level line information of target users.

[0040] In one possible implementation, a Robotic Process Automation (RPA) robot can access each power grid system in turn to obtain the corresponding data, and then generate the target user's upper-level line information based on the obtained data.

[0041] S103: Determine at least one target aggregation control node and a capacity ratio of each target aggregation control node from the upper-level line information based on the allocation requirement.

[0042] In the embodiment of the present disclosure, after the upper-level line information is acquired, the upper-level line information may include multiple aggregation control nodes, and the multiple aggregation control nodes may be screened according to allocation requirements to determine at least one target aggregation control node.

[0043] S104, determining the power supply ratio of each target aggregation control node based on the capacity ratio, and adjusting capacity allocation to the target user based on the power supply ratio and the target aggregation control node.

[0044] In the disclosed embodiment, the target user to be allocated and the allocation demand are first obtained, and then the upper-level line information of the target user is determined from multiple power grid systems. Then, based on the allocation demand, at least one target aggregation control node and the capacity ratio of each target aggregation control node are determined from the upper-level line information. Finally, the power supply ratio of each target aggregation control node is determined based on the capacity ratio, and the adjustment capacity is allocated to the target user based on the power supply ratio and the target aggregation control node. Therefore, through this solution, the problems of difficulty in monitoring and scheduling caused by the opaque power supply and call path of the low-voltage user-side resources to the power grid dispatching automation system due to the various types of distributed source and load resources, the dispersion of grid connection points, and the non-unique model definition of various aggregators can be solved. At the same time, by setting the allocation demand, different control strategies can be determined to achieve the allocation of adjustment capacity according to design needs or user needs, thereby improving the practicality of this solution.

[0045] In the above embodiment, at least one target aggregation control node is determined from the upper-level line information based on the allocation requirements, and Figure 2 Explaining further, the method includes:

[0046] S201: Acquire at least one measurement point of a subordinate of a target user.

[0047] In actual operation, the target user may include multiple measurement points. In one possible way, a measurement point can be regarded as an independent electricity meter. The measurement point is also the smallest unit of low-voltage user-side resource aggregation. Different measurement points are used for independent electricity consumption statistics and billing.

[0048] It should be noted that different measurement points may belong to different aggregation control nodes.

[0049] In the embodiment of the present disclosure, based on the user account number information of the target user, the user account number corresponding to each measuring point is queried from the user-metering relationship table of the power grid marketing and metering automation system.

[0050] S202: Determine at least one target aggregation control node from upper-level line information based on allocation requirements and measurement points.

[0051] In the disclosed embodiment, in response to the allocation demand for 110kV global optimization, the node based on the measurement point traces upward in the upper-level line information until the 35kV substation bus or the 110kV substation bus is searched and then the tracing is stopped, and the traced 35kV substation bus or 110kV substation bus is used as the target aggregation control node.

[0052] In another possible situation, in response to the allocation demand for 220kV global optimization, the node corresponding to the measurement point is traced upward in the upper-level line information until the 220kV substation bus is found and the tracing is stopped. The traced 220kV substation bus is used as the target aggregation control node.

[0053] It should be noted that the upward tracing in the embodiment of the present disclosure is tracing back from the starting node to the power generation source or the power transmission source.

[0054] In the disclosed embodiment, at least one measurement point subordinate to the target user is first obtained, and then at least one target aggregation control node is determined from the upper-level line information based on the allocation requirements and the measurement point information of the measurement point. Thus, by setting the allocation requirements, different control strategies can be determined to achieve the allocation of adjustment capabilities according to design requirements or user requirements, thereby improving the practicality of the solution.

[0055] In the above embodiment, the upper level line information of the target user is determined from multiple power grid systems, and the upper level line information of the target user can also be determined by Figure 3 Explaining further, the method includes:

[0056] S301, obtaining measurement point information of each measurement point of a target user.

[0057] In the embodiment of the present disclosure, based on the user account number information of the target user, the measurement point identifier of each measurement point corresponding to the user account number is queried from the user-metering relationship table of the power grid marketing and metering automation system.

[0058] S302, determining transformer resource information from a power grid marketing and metering automation system based on metering node information.

[0059] Establish the association between transformer information and metering point information from the power grid marketing and metering automation system, obtain the transformer list corresponding to the current user account number, and determine the corresponding transformer resource through the Geographic Information System for Intelligent Distribution (GISID) of the transformer. It should be noted that the GISID corresponding to the equipment in different power grids is different, so different types of equipment or different equipment in the same type can be distinguished.

[0060] S303, determining feeder line information from the power grid marketing and metering automation system based on the transformer resource information.

[0061] In the disclosed embodiment, the distribution network topology information can be obtained from the power distribution network dispatching automation system, and the line structure of the current feeder in the distribution network topology model can be queried through the feeder GISID. The feeder outlet switch is queried as the connection node between the feeder and the main network model. The naming rule of the feeder outlet switch is such as: 10kVF26 feeder 726 switch. The feeder outlet switch GISID is used to realize the unique identification of the feeder outlet switch.

[0062] S304: Determine corresponding line structure information from the power distribution network dispatching automation system based on the feeder line information.

[0063] In the disclosed embodiment, the distribution network topology information can be obtained from the power distribution network dispatching automation system, the line structure of the current feeder in the distribution network topology model can be queried through the feeder GISID, and the feeder outlet switch is queried as the connection node between the feeder and the main network model. The naming rules of the feeder outlet switch are as follows: 10kVF26 feeder 726 switch, and the unique identification of the feeder outlet switch is achieved through the feeder outlet switch GISID.

[0064] S305, obtaining prefecture-level main network topology information from the prefecture-level bureau-level main network dispatching automation system of the power grid based on the line structure information.

[0065] In the disclosed embodiment, the municipal-level main grid topology information can be obtained from the municipal-level main grid dispatching automation system of the power grid, and the main grid topology model and the distribution network topology model can be associated through the feeder outlet switch GISID. The 10kV bus information connected to the current feeder outlet can be queried according to the feeder outlet switch GISID.

[0066] S306: Determine the upper-level line information of each measurement point of the target user based on the prefecture-level city-level main network topology information and the measurement point information.

[0067] In the disclosed embodiment, the topological model information of the main network of the municipal bureau can be obtained from the municipal bureau-level main network dispatching automation system of the power grid, and the upper-level line of the current node can be determined by the switch disconnection relationship:

[0068] If the current switch status is off, return to search for the next switch

[0069] If the current switch state is closed, the current node is changed to the upper level line corresponding to the switch, and the search for the next level connection relationship continues.

[0070] In the disclosed embodiment, the measurement point information of each measurement point of the target user is first obtained, and then the transformer resource information is determined from the power grid marketing and metering automation system based on the metering node information, and then the feeder line information is determined from the power grid marketing and metering automation system based on the transformer resource information, and then the corresponding line structure information is determined from the power grid distribution network dispatching automation system based on the feeder line information, and then the prefecture-level main network topology information is obtained from the power grid prefecture-level bureau-level main network dispatching automation system based on the line structure information, and finally the upper-level line information of each measurement point of the target user is determined based on the prefecture-level main network topology information and the measurement point information. Thus, by automatically acquiring information from multiple systems, the accuracy and efficiency of establishing the upper-level line information can be increased compared to the current technology through manual query.

[0071] In the above embodiment, the power supply ratio and the target aggregation control node are used to adjust the capacity allocation for the target user, and the target user can also be allocated by Figure 4 Explaining further, the method includes:

[0072] S401, obtaining the power demand of the target user.

[0073] In one possible implementation method, in the dispatching automation system or the power spot market technical support system, the resource capacity aggregation of the same region, the same aggregator, and the same node can be regarded as a virtual equivalent unit, and the measurement, prediction, and operating status data sent to the dispatcher should be the total value of the superposition of each resource as the demand electricity.

[0074] S402: Determine the power supply amount of each target aggregation control node based on the power supply ratio and the required power.

[0075] In one possible implementation, in the dispatching automation system or the power spot market technical support system, the resource capacity aggregation of the same region, the same aggregator, and the same node is regarded as a virtual equivalent unit. The dispatching automation system issues the dispatching plan, and the power spot market technical support system performs the clearing calculation in units of virtual equivalent units, which are then disassembled by the aggregator technical support system. For example, user A's demand for electricity is 10MW, including three metering points a, b, and c, and the transformers e, f, and g are connected with transformers with capacities of 800, 800, and 400, respectively, belonging to the three target aggregation control nodes Ⅰ, Ⅱ, and Ⅲ, respectively. Then the corresponding power supply of user A at the target aggregation control nodes Ⅰ, Ⅱ, and Ⅲ is 4MW, 4MW, and 2MW, respectively.

[0076] It should be noted that an aggregator refers to an entity that uniformly manages and operates various response resources in a certain area, aggregates response resources to participate in demand response transactions, and includes power sales companies and third-party independent entity aggregators. Among them, a third-party independent entity aggregator refers to an independent legal entity that builds or operates response resources to provide auxiliary services for the power system.

[0077] Corresponding to the power resource allocation methods provided in the above-mentioned embodiments, an embodiment of the present disclosure further provides a power resource allocation device. Since the power resource allocation device provided in the embodiment of the present disclosure corresponds to the power resource allocation methods provided in the above-mentioned embodiments, the implementation methods of the above-mentioned power resource allocation methods are also applicable to the power resource allocation device provided in the embodiment of the present disclosure, and will not be described in detail in the following embodiments.

[0078] Figure 5 is a schematic diagram of a power resource allocation device according to an embodiment of the present disclosure. Figure 5 As shown, the power resource allocation device 500 includes: an acquisition module 510 , a determination module 520 , a screening module 530 and an allocation module 540 .

[0079] The acquisition module 510 is used to acquire the target user to be allocated and the allocation requirements.

[0080] The determination module 520 is used to determine the upper-level line information of the target user from multiple power grid systems.

[0081] The screening module 530 is used to determine at least one target aggregation control node and the capacity ratio of each target aggregation control node from the upper-level line information based on the allocation requirement.

[0082] The allocation module 540 is used to determine the power supply ratio of each target aggregation control node based on the capacity ratio, and to adjust the capacity allocation to the target user based on the power supply ratio and the target aggregation control node.

[0083] In the embodiment of the present disclosure, the screening module 530 is further used to: obtain at least one measurement point subordinate to the target user; and determine at least one target aggregation control node from the upper-level line information based on the allocation requirements and the measurement point information of the measurement point.

[0084] In the embodiment of the present disclosure, the screening module 530 is also used for: in response to the allocation demand for 110kV global optimization, tracing back the upper-level line information based on the node of the measurement point until the 35kV substation bus or the 110kV substation bus is searched and then stopping the tracing; and taking the traced 35kV substation bus or 110kV substation bus as the target aggregation control node.

[0085] In the disclosed embodiment, the screening module 530 is also used for: in response to the allocation demand for 220kV global optimization, tracing back upward in the upper-level line information based on the node corresponding to the measurement point until the 220kV substation bus is found and the tracing back is stopped; and the traced 220kV substation bus is used as the target aggregation control node.

[0086] In the disclosed embodiment, the screening module 530 is also used to: obtain measurement point information of each measurement point of the target user; determine transformer resource information from the power grid marketing and metering automation system based on the metering node information; determine feeder line information from the power grid marketing and metering automation system based on the transformer resource information; determine corresponding line structure information from the power grid distribution network dispatching automation system based on the feeder line information; obtain municipal-level main network topology information from the municipal-level main network dispatching automation system of the power grid based on the line structure information; determine the upper-level line information of each measurement point of the target user based on the municipal-level main network topology information and the measurement point information.

[0087] In the disclosed embodiment, the screening module 530 is further used to query the measurement point identifiers of each measurement point corresponding to the user account number from the user-metering relationship table of the power grid marketing and metering automation system based on the user account number information of the target user.

[0088] In the embodiment of the present disclosure, the allocation module 540 is further used to: obtain the power demand of the target user; and determine the power supply of each target aggregation control node based on the power supply ratio and the power demand.

[0089] Therefore, this solution can solve the problems of difficult monitoring and scheduling caused by the opaque power supply and call path of low-voltage user-side resources to the power grid dispatching automation system due to the large variety of distributed source and load resources, scattered grid connection points and non-unique model definitions of various aggregators. At the same time, by setting allocation requirements, different control strategies can be determined to achieve allocation of adjustment capacity according to design needs or user needs, thereby improving the practicality of this solution.

[0090] In order to implement the above embodiment, the present disclosure further provides an electronic device 600, Figure 6 is a schematic diagram of an electronic device according to an embodiment of the present disclosure, such as Figure 6 As shown, the electronic device 600 includes: a processor 601 and a memory 602 that is communicatively connected to the processor, the memory 602 stores instructions that can be executed by at least one processor, and the instructions are executed by at least one processor 601 to implement the present disclosure. Figure 1-Figure 4 A method for allocating power resources according to an embodiment of the present invention.

[0091] In order to implement the above embodiments, the present disclosure also provides a non-transitory computer-readable storage medium storing computer instructions, wherein the computer instructions are used to enable the computer to implement the above embodiments. Figure 1-Figure 4 A method for allocating power resources according to an embodiment of the present invention.

[0092] In order to implement the above embodiments, the present disclosure also provides a computer program product, including a computer program. When the computer program is executed by a processor, the computer program implements the above embodiments. Figure 1-Figure 4 A method for allocating power resources according to an embodiment of the present invention.

[0093] It should be noted that personal information from users should be collected for legitimate and reasonable purposes and should not be shared or sold outside of these legitimate uses. In addition, such collection / sharing should be carried out after receiving the user's informed consent, including but not limited to notifying the user to read the user agreement / user notice and sign the agreement / authorization including authorization of relevant user information before the user uses the function. In addition, any necessary steps should be taken to protect and safeguard access to such personal information data and ensure that others who have access to personal information data comply with its privacy policy and procedures.

[0094] The present application is expected to provide an implementation scheme for users to selectively block the use or access of personal information data. That is, the present disclosure is expected to provide hardware and / or software to prevent or block access to such personal information data. Once the personal information data is no longer needed, the risk can be minimized by limiting data collection and deleting the data. In addition, when applicable, such personal information is de-identified to protect the privacy of the user.

[0095] In the description of the aforementioned embodiments, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0096] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In the description of this application, the meaning of "plurality" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0097] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, fragment or portion of code comprising one or more executable instructions for implementing the steps of a custom logical function or process, and the scope of the preferred embodiments of the present application includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in the reverse order depending on the functions involved, which should be understood by technicians in the technical field to which the embodiments of the present application belong.

[0098] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in combination with these instruction execution systems, devices or apparatuses. For the purpose of this specification, "computer-readable medium" can be any device that contains, stores, communicates, propagates or transmits a program for use by an instruction execution system, device or apparatus, or in combination with these instruction execution systems, devices or apparatuses. More specific examples (non-exhaustive list) of computer-readable media include the following: an electrical connection with one or more wires (electronic device), a portable computer disk box (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), a fiber optic device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium and then editing, interpreting or processing in other suitable ways if necessary, and then stored in a computer memory.

[0099] It should be understood that the various parts of the present application can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0100] A person skilled in the art may understand that all or part of the steps in the method for implementing the above-mentioned embodiment may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, which, when executed, includes one or a combination of the steps of the method embodiment.

[0101] In addition, each functional unit in each embodiment of the present application may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0102] The storage medium mentioned above may be a read-only memory, a magnetic disk or an optical disk, etc. Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limiting the present application. A person of ordinary skill in the art may change, modify, replace and modify the above embodiments within the scope of the present application.

Claims

1. A method for allocating power resources, characterized in that: include: Obtain the target users to be assigned and the assignment requirements; Determine the upper level line information of the target user from multiple power grid systems; Determine at least one target aggregation control node and a capacity ratio of each target aggregation control node from the upper-level line information based on the allocation requirement; The power supply ratio of each of the target aggregation control nodes is determined based on the capacity ratio, and the adjustment capacity allocation is performed to the target user based on the power supply ratio and the target aggregation control node.

2. The method according to claim 1, characterized in that The determining at least one target aggregation control node from the upper-level line information based on the allocation requirement includes: Acquire at least one measurement point of a subordinate of the target user; At least one target aggregation control node is determined from the upper-level line information based on the allocation requirement and the measurement point.

3. The method according to claim 2, characterized in that The determining at least one target aggregation control node from the upper-level line information based on the allocation requirement and the measurement point includes: In response to the allocation requirement being 110 kV global optimization, tracing back upwards based on the node of the measurement point on the upper-level line information until a 35 kV substation bus or a 110 kV substation bus is found and then the tracing back is stopped; The traced 35kV substation bus or 110kV substation bus is used as the target aggregation control node.

4. The method according to claim 2, characterized in that: The determining at least one target aggregation control node from the upper-level line information based on the allocation requirement and the measurement point includes: In response to the allocation requirement being 220 kV global optimization, tracing back upwards on the upper-level line information based on the node corresponding to the measurement point until a 220 kV substation bus is found and the tracing back is stopped; The traced 220kV substation bus is used as the target aggregation control node.

5. The method according to claim 1, characterized in that The determining the upper-level line information of the target user from a plurality of power grid systems includes: Acquire measurement point information of each measurement point of the target user; Determine transformer resource information from the power grid marketing and metering automation system based on the metering node information; Determine feeder line information from a power grid marketing and metering automation system based on the transformer resource information; Determine corresponding line structure information from the power distribution network dispatching automation system based on the feeder line information; Based on the line structure information, obtain the city-level main network topology information from the city-level main network dispatching automation system of the power grid; The upper-level line information of each measurement point of the target user is determined based on the prefecture-level city-level main network topology information and the measurement point information.

6. The method according to claim 5, characterized in that The obtaining the measurement point information of each measurement point of the target user includes: Based on the user account number information of the target user, the measurement point identifiers of each measurement point corresponding to the user account number are queried from the user-metering relationship table of the power grid marketing and metering automation system.

7. The method according to any one of claims 1 to 6, characterized in that The allocating the regulating capacity to the target user based on the power supply ratio and the target aggregation control node includes: Obtaining the power demand of the target user; Based on the power supply ratio and the required power quantity, the power supply quantity of each target aggregation control node is determined.

8. A power resource allocation device, characterized in that: include: An acquisition module is used to acquire target users to be allocated and allocation requirements; A determination module, used to determine the upper-level line information of the target user from multiple power grid systems; A screening module, configured to determine at least one target aggregation control node and a capacity ratio of each of the target aggregation control nodes from the upper-level line information based on the allocation requirement; An allocation module is used to determine the power supply ratio of each target aggregation control node based on the capacity ratio, and to allocate adjustment capacity to the target user based on the power supply ratio and the target aggregation control node.

9. An electronic device, characterized in that: Including memory and processor; The processor runs a program corresponding to the executable program code by reading the executable program code stored in the memory, so as to implement the method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-executable instructions, which are used to implement the method according to any one of claims 1 to 7 when executed by a processor.

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