Power grid capacity declaration method, device, equipment, medium and product

Abstract

The invention discloses a power grid capacity declaration method, device and equipment, a medium and a product. The method comprises the steps of determining a target capacity and a target execution time period in response to a response demand sent by a power grid; according to the target capacity and the target execution time period, based on a preset first response library and a preset second response library, screening the target enterprises to obtain a target recommended enterprise; wherein the first response library comprises the response speed level of each target enterprise; the second response library comprises the target adjustable capacity and the sorting condition of each target enterprise in different candidate execution time periods; and generating a response capacity declaration request according to the target response speed, the target stability and the target adjustable capacity corresponding to the target recommendation enterprise, and feeding back the response capacity declaration request to the power grid. According to the technical scheme provided by the invention, the index information of different power utilization enterprises can be analyzed according to the response demand in combination with the preset response library, and the target recommendation enterprise is determined, so that the capacity declaration of the power grid is completed, and the declaration efficiency and success rate are improved.

Description

Technical Field

[0001] The present invention relates to the field of power grid technology, and in particular to a power grid capacity reporting method, device, equipment, medium and product. Background Art

[0002] With the transformation of the global energy structure and the widespread use of renewable energy, the supply and demand balance of the power system faces new challenges. In order to adapt to this change, demand response (DR) as a flexibility resource has received increasing attention. DR refers to the active adjustment of electricity consumption behavior by electricity users based on market price signals or incentive mechanisms to improve the supply and demand balance of the power system. In the field of virtual power plants (VPPs), DR is particularly important because it allows power suppliers to provide large-scale, flexible power resources by coordinating the response capabilities of multiple users.

[0003] Therefore, how the virtual power plant can analyze the indicator information of different electricity users based on the response needs and the preset response library, and determine the target recommended enterprises to complete the capacity declaration of the power grid is an urgent problem that needs to be solved. Summary of the invention

[0004] The present invention provides a method, device, equipment, medium and product for reporting power grid capacity, which analyzes the indicator information of different power consuming enterprises according to the response requirements and in combination with a preset response library, determines the target recommended enterprises, completes the capacity reporting of the power grid, and improves the reporting efficiency and success rate.

[0005] According to one aspect of the present invention, a method for declaring power grid capacity is provided, comprising:

[0006] In response to a response demand issued by the power grid, determining a target capacity and a target execution time period;

[0007] According to the target capacity and the target execution time period, the target enterprises are screened based on the preset first response library and second response library to obtain target recommended enterprises; wherein the first response library includes the response speed level of each target enterprise; the second response library includes the target adjustable capacity and ranking of each target enterprise in different candidate execution time periods;

[0008] According to the target response speed, target stability and target adjustable capacity of the target recommended enterprise, a response capacity declaration request is generated and fed back to the power grid.

[0009] According to another aspect of the present invention, there is provided a power grid capacity reporting device, comprising:

[0010] A determination module, configured to determine a target capacity and a target execution time period in response to a response demand issued by the power grid;

[0011] A screening module is used to screen target enterprises according to target capacity and target execution time period based on a preset first response library and a second response library to obtain target recommended enterprises; wherein the first response library includes the response speed level of each target enterprise; the second response library includes the target adjustable capacity and ranking of each target enterprise in different candidate execution time periods;

[0012] The feedback module is used to generate a response capacity declaration request based on the target response speed, target stability and target adjustable capacity corresponding to the target recommendation enterprise, and feed back to the power grid.

[0013] According to another aspect of the present invention, an electronic device is provided, the electronic device comprising:

[0014] at least one processor; and

[0015] a memory communicatively connected to the at least one processor; wherein,

[0016] The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the power grid capacity reporting method described in any embodiment of the present invention.

[0017] According to another aspect of the present invention, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the power grid capacity reporting method described in any embodiment of the present invention when executed.

[0018] According to another aspect of the present invention, a computer program product is provided. The computer program product includes a computer program. When the computer program is executed by a processor, the method for declaring power grid capacity according to any embodiment of the present invention is implemented.

[0019] The technical solution of the embodiment of the present invention determines the target capacity and the target execution time period in response to the response demand issued by the power grid; based on the target capacity and the target execution time period, the target enterprises are screened based on the preset first response library and the second response library to obtain the target recommended enterprises; wherein the first response library includes the response speed level of each target enterprise; the second response library includes the target adjustable capacity and ranking of each target enterprise in different candidate execution time periods; according to the target response speed, target stability and target adjustable capacity corresponding to the target recommended enterprise, a response capacity declaration request is generated and fed back to the power grid. By analyzing the indicator information of different power consuming enterprises according to the response demand and the preset response library, accurate target recommended enterprises can be determined to complete the capacity declaration to the power grid and improve the declaration efficiency and success rate.

[0020] It should be understood that the contents described in this section are not intended to identify the key or important features of the embodiments of the present invention, nor are they intended to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0022] Figure 1 This is a flow chart of a method for declaring power grid capacity provided by Embodiment 1 of the present invention;

[0023] Figure 2 is a flow chart of a method for declaring power grid capacity provided by Embodiment 2 of the present invention;

[0024] Figure 3 This is a structural block diagram of a power grid capacity reporting device provided by Embodiment 3 of the present invention;

[0025] Figure 4 It is a schematic diagram of the structure of an electronic device provided in Embodiment 4 of the present invention. DETAILED DESCRIPTION

[0026] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0027] It should be noted that the terms "first", "second", "target", "candidate", "alternative", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices. The acquisition, storage, use, processing, etc. of data in the technical solution of this application comply with the relevant provisions of national laws and regulations.

[0028] Embodiment 1

[0029] Figure 1 It is a flow chart of a method for declaring power grid capacity provided in the first embodiment of the present invention; this embodiment can be applicable to the situation that the power supplier controls the virtual power plant to screen and obtain recommended enterprises in response to the response demand of the power grid to complete the capacity declaration. The method can be executed by a power grid capacity declaration device, and the power grid capacity declaration device can be implemented in the form of hardware and / or software. The power grid capacity declaration device can be configured in an electronic device, such as in the demand side of the power supplier equipped with a virtual power plant, and the virtual power plant is controlled by the demand side to execute, such as Figure 1 As shown in the figure, the grid capacity declaration method includes:

[0030] S101 . In response to a response demand issued by a power grid, determine a target capacity and a target execution time period.

[0031] Among them, the response demand of the power grid refers to the demand-side response demand issued by the power grid to the virtual power plant based on the current supply and demand of electricity. The type of response demand may be, for example, peak shaving or emergency response. The response demand may represent the amount of electricity that the power grid requires each electricity user to report during the target execution time period. Target enterprises may participate in demand-side response. The target capacity refers to the amount of electricity that the power grid corresponding to the response demand requires each electricity user to report during the target execution time period, that is, the load capacity that the power grid issues to the virtual power plant to adjust. The target execution time period may, for example, be a time period of a preset length in the future.

[0032] Optionally, when the virtual power plant detects a response demand issued by the power grid, it can analyze the response demand to obtain the target execution time period that needs to be reported provided by the power grid, and at the same time determine the total electricity consumption that each power user needs to report during the target execution time period, that is, the target capacity.

[0033] S102: According to the target capacity and the target execution time period, target enterprises are screened based on a preset first response library and a preset second response library to obtain target recommended enterprises.

[0034] The first response database and the second response database are response databases generated after evaluating and ranking the power users that can declare capacity. The target enterprise refers to the power users that can declare capacity recorded in the first response database and the second response database. The target recommended enterprise refers to the target enterprise that is finally determined from the target enterprises to declare capacity.

[0035] The first response library includes the response speed level of each target enterprise; the second response library includes the target adjustable capacity and ranking of each target enterprise in different candidate execution time periods. The response speed level can be, for example, fast response, medium response, and slow response. The response speed level of each target enterprise in the first response library can be obtained by evaluating the target ranking value of each target enterprise; the target adjustable capacity refers to the adjustable power consumption of the target enterprise recorded in the second response library. The target recommendation value can be the product of the target ranking value of each target enterprise and the target adjustable capacity.

[0036] Optionally, according to the target capacity and the target execution time period, the target enterprises are screened based on the preset first response library and the second response library to obtain target recommended enterprises, including: according to the ranking of each target enterprise in the second response library and the target adjustable capacity of each target enterprise in the target execution time period, under the condition that the capacity conditions are met, at least two groups of candidate recommended enterprises are determined from the target enterprises; according to the first response library, the response speed level of each group of candidate recommended enterprises is determined to determine a group of target recommended enterprises from each group of candidate recommended enterprises.

[0037] Among them, the ranking situation can specifically be the result of sorting according to the target recommendation value of each target enterprise. The second response library includes the target adjustable capacity and ranking situation of each target enterprise in different candidate execution time periods; the number of candidate execution time periods is at least two, and the candidate execution time periods include the target execution time period. The capacity condition refers to the condition for evaluating whether the sum of the target adjustable capacity is greater than or equal to the target capacity. Candidate recommended enterprises refer to a group of target enterprises whose total adjustable capacity meets the capacity condition, and each group of candidate recommended enterprises includes at least one target enterprise. The target recommended enterprise refers to the group with the highest response speed level among the candidate recommended enterprises.

[0038] Optionally, the second response library may be matched according to the target execution time period to determine from the second response library the adjustable capacity corresponding to each target enterprise when the candidate execution time period is the target execution time period as the target adjustable capacity.

[0039] Optionally, the response speed level of each target enterprise included in each group of candidate recommended enterprises can be determined based on the first response library, and the response speed level with the largest number can be determined as the response speed level to which each group of candidate recommended enterprises belongs, and the candidate recommended enterprise with the highest response speed level can be further determined as the target recommended enterprise, that is, a group of target recommended enterprises can be determined from each group of candidate recommended enterprises.

[0040] Optionally, based on the ranking of each target enterprise in the second response library and the target adjustable capacity of each target enterprise in the target execution time period, when the capacity condition is met, at least two groups of candidate recommended enterprises are determined from the target enterprises, including: based on the ranking of each target enterprise in the second response library, at least one target enterprise is selected in turn, and based on the target adjustable capacity of each target enterprise in the target execution time period, the total adjustable capacity of the selected target enterprise group is determined; if the total adjustable capacity is greater than or equal to the target capacity, it is determined that the capacity condition is met, and the corresponding target enterprise group is determined as the candidate recommended enterprise, so as to determine at least two groups of candidate recommended enterprises.

[0041] The target enterprise group refers to an enterprise group consisting of at least one selected target enterprise, and the target enterprise group includes candidate recommended enterprises.

[0042] Optionally, target enterprises may be screened based on the first response library and the second response library in combination with the selection of the virtual power plant user. For example, if the virtual power plant user selects an enterprise with a fast response speed level, the target enterprise with a fast response speed level may be first determined based on the first response library, and then the enterprises are sorted from higher to lower target recommendation values ​​based on the second response library. The list is terminated when the sum of the regulation capacities of multiple enterprises with high target recommendation values ​​is equal to the target capacity, to obtain the final target recommended enterprises and submit the list to the power grid.

[0043] Optionally, in response to a request to generate a response library, the virtual power plant is controlled to monitor the target enterprise for a preset period of time to determine the monitoring data; based on the monitoring data, the target response speed and target stability of each target enterprise are evaluated, and based on the target response speed and target stability of each target enterprise, the corresponding target ranking value of each target enterprise is determined; based on the target ranking value, the response speed level of each target enterprise is determined to generate a first response library.

[0044] Among them, generating a request refers to a request that the virtual power plant generates a first response library and a second response library to respond in time when the response demand of the power grid is detected. The monitoring data may include the adjustment time, the number of measurements of the target enterprise, and the adjustment load obtained by each measurement. The adjustment time refers to the time required from the start of adjustment to reaching the maximum adjustment ratio, also known as the start-up time. The target ranking value can be the product of the target response speed and the target stability.

[0045] Optionally, the target enterprises can be sorted in descending order according to the target ranking value, and the first 20% of the target enterprises can be determined as fast response enterprises, the first 40% of the target enterprises can be determined as medium response enterprises, and the last 40% of the target enterprises can be determined as slow response enterprises according to the sorting results, so as to form a first response library.

[0046] Optionally, the target response speed and target stability of each target enterprise are evaluated based on the monitoring data, including: determining the target response speed of each target enterprise based on the adjustment time in the monitoring data, combined with the target capacity and the initial load of the equipment involved in each target enterprise; determining the target stability of each target enterprise based on the number of measurements in the monitoring data and the adjustment load obtained from each measurement.

[0047] Exemplarily, the target response speed Rs of each target enterprise may be determined based on the following formula:

[0048]

[0049] Among them, R m It refers to the load required to be achieved in response to demand, that is, the target capacity. i It refers to the initial equipment load of the i-th physical equipment of the target enterprise. Ts refers to the adjustment time.

[0050] It should be noted that the target enterprise can adjust its load capacity by reducing or increasing electricity consumption. The virtual power plant can monitor this process, and the maximum adjustment ratio is pre-set by the enterprise. The virtual power plant can monitor whether the target enterprise's adjustment capacity has reached the maximum.

[0051] Exemplarily, the target stability St of each target enterprise can be determined based on the following formula:

[0052]

[0053] Among them, σ R represents the standard deviation of the adjustment ratio, indicating the volatility of the adjustment process. Specifically, the standard deviation of the adjustment ratio σ R It can be expressed by the following formula:

[0054]

[0055] Where N represents the number of samples (i.e. the number of measurements). i Represents the regulation load of the ith measurement. The calculation formula is R i =E 1i -E 2i , E 1i and E 2i All of them are obtained through monitoring of the virtual power plant. The enterprise's production is operating normally. The virtual power plant obtains E through monitoring.1i , the virtual power plant issues adjustment instructions, the enterprise adjusts the power consumption, and the virtual power plant obtains the adjusted power consumption E 2i . Refers to the average value of the regulated load. It can be calculated using the following formula:

[0056]

[0057] Among them, R i represents the adjustment load of the ith measurement. N represents the number of samples (i.e., the number of measurements).

[0058] It should be noted that the regulated load is obtained by testing the enterprise's regulated load before the power grid responds to demand. This is the regulated load obtained by the test, not the actual load. It is obtained by subtracting the power consumption of the enterprise before regulation from the power consumption after regulation.

[0059] Optionally, after generating the first response library, further analysis may be performed on target enterprises in the first response library with a quick response level (i.e., the top 20%) to generate a second response library; further analysis may be performed on all target enterprises in the first response library to generate a second response library, and the present invention is not limited to this.

[0060] Optionally, the target enterprises that meet the analysis conditions in the first response library (such as the top 20% of the target enterprises) can be determined as analysis enterprises, and the target adjustable capacity of each analysis enterprise in the target execution time period can be determined based on the enterprise operation plan of each analysis enterprise; the target recommended value can be determined based on the target ranking value and target adjustable capacity of each analysis enterprise, and the second response library can be generated based on the target recommended value.

[0061] Optionally, further analyzing all target enterprises in the first response library and generating a second response library may include: determining the target adjustable capacity of each target enterprise in the target execution time period according to the enterprise operation plan of each target enterprise; determining the target recommended value according to the target ranking value and target adjustable capacity of each target enterprise, and generating the second response library based on the target recommended value.

[0062] Among them, the enterprise operation plan can be the production arrangement and equipment maintenance plan of each target enterprise in the future time period (i.e., the candidate execution time period). The target recommendation value can be the product of the target ranking value and the target adjustable capacity. The target enterprises in the second response library can be arranged in descending order based on the target recommendation value. The target adjustable capacity refers to the power load that the target enterprise can adjust according to the power grid demand during the target execution time period. Specifically, the power load can be adjusted by adjusting the production arrangement of the enterprise.

[0063] Optionally, the expected power consumption and minimum power consumption of each target enterprise in the target execution time period can be determined according to the enterprise operation plan, and the difference between the expected power consumption and the minimum power consumption can be determined as the target adjustable capacity.

[0064] Exemplarily, the target adjustable capacity C(t) of each target enterprise in the target execution time period may be determined based on the following formula:

[0065] C(t)=E pre (t)-E min

[0066] Where t represents the target execution time period. pre It represents the expected electricity consumption of the target enterprise during the target execution period, which is determined by the average value of the enterprise's electricity consumption at the same time over N days. min Indicates the minimum power consumption that can be achieved during the target execution time period.

[0067] For example, the power grid needs to respond to demand after 4 hours and meet the regulation standards within 10 minutes. In this case, it is necessary to screen enterprises that can be adjusted after 4 hours and whose response speed can meet the 10-minute standard. Then, they need to be sorted through the first response library, and enterprises that meet the conditions and perform well will be screened out. These enterprises will enter the second response library, calculate the adjustable capacity, and submit the list to the power grid through sorting according to the target ranking value.

[0068] S103. Generate a response capacity declaration request based on the target response speed, target stability and target adjustable capacity corresponding to the target recommendation enterprise, and feed it back to the power grid.

[0069] Optionally, after the virtual power plant reports the response capacity declaration request to the power grid, it can instruct each target recommended enterprise to perform power consumption regulation operations in the corresponding target execution time period based on the corresponding target adjustable capacity according to the target adjustable capacity of each target recommended enterprise, so as to facilitate the subsequent power grid to provide incentives based on the execution status of each target recommended enterprise.

[0070] It should be noted that the present invention creates a first response library based on the response speed and stability of the enterprise and a second response library based on the actual operation plan of the enterprise, and then combines the specific needs of the power grid and uses precise screening and recommendation algorithms to select and recommend suitable enterprises from the response library to participate in demand-side response, which can effectively improve the adaptability of demand data to the target object and the success rate of demand-side transactions.

[0071] The technical solution of the embodiment of the present invention determines the target capacity and the target execution time period in response to the response demand issued by the power grid; based on the target capacity and the target execution time period, the target enterprises are screened based on the preset first response library and the second response library to obtain the target recommended enterprises; wherein the first response library includes the response speed level of each target enterprise; the second response library includes the target adjustable capacity and ranking of each target enterprise in different candidate execution time periods; according to the target response speed, target stability and target adjustable capacity corresponding to the target recommended enterprise, a response capacity declaration request is generated and fed back to the power grid. By analyzing the indicator information of different power consuming enterprises according to the response demand and the preset response library, accurate target recommended enterprises can be determined to complete the capacity declaration to the power grid and improve the declaration efficiency and success rate.

[0072] Embodiment 2

[0073] Figure 2 It is a flow chart of a grid capacity declaration method provided in the second embodiment of the present invention; based on the above embodiment, this embodiment provides a preferred solution for determining target recommended enterprises based on the first response library and the second response library for grid capacity declaration.

[0074] Specifically, Figure 2 As shown, the method may include the following process:

[0075] S201. In response to a generation request from a response library, control the virtual power plant to monitor a target enterprise for a preset period of time and determine monitoring data.

[0076] S202. Evaluate the target response speed and target stability of each target enterprise based on the monitoring data, and determine the corresponding target ranking value of each target enterprise based on the target response speed and target stability of each target enterprise.

[0077] S203: Determine the response speed level of each target enterprise according to the target ranking value to generate a first response library.

[0078] S204: Determine the target adjustable capacity of each target enterprise in the target execution time period according to the enterprise operation plan of each target enterprise.

[0079] S205: Determine a target recommendation value according to the target ranking value and target adjustable capacity of each target enterprise, and generate a second response library according to the target recommendation value.

[0080] S206 . Determine a target capacity and a target execution time period in response to a response demand issued by the power grid.

[0081] S207. According to the ranking of each target enterprise in the second response database and the target adjustable capacity of each target enterprise in the target execution time period, and in the case where the capacity condition is met, at least two groups of candidate recommended enterprises are determined from the target enterprises.

[0082] S208. Determine the response speed level of each group of candidate recommended enterprises according to the first response database, so as to determine a group of target recommended enterprises from each group of candidate recommended enterprises.

[0083] S209: Generate a response capacity declaration request based on the target response speed, target stability and target adjustable capacity corresponding to the target recommendation enterprise, and feed it back to the power grid.

[0084] Embodiment 3

[0085] Figure 3 It is a structural block diagram of a power grid capacity reporting device provided in the third embodiment of the present invention; this embodiment can be applicable to the situation where the power supplier responds to the response demand of the power grid and controls the virtual power plant to screen and obtain recommended enterprises to complete the capacity reporting. The power grid capacity reporting device provided in the embodiment of the present invention can execute the power grid capacity reporting method provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method; the power grid capacity reporting device can be implemented in the form of hardware and / or software, and configured in an electronic device with a power grid capacity reporting function, such as in the demand side of a power supplier equipped with a virtual power plant, and the virtual power plant is controlled by the demand side to execute, such as Figure 3 As shown, the power grid capacity reporting device specifically includes:

[0086] A determination module 301 is used to determine a target capacity and a target execution time period in response to a response demand issued by the power grid;

[0087] The screening module 302 is used to screen the target enterprises according to the target capacity and the target execution time period based on the preset first response library and the second response library to obtain the target recommended enterprises; wherein the first response library includes the response speed level of each target enterprise; the second response library includes the target adjustable capacity and ranking of each target enterprise in different candidate execution time periods;

[0088] The feedback module 303 is used to generate a response capacity declaration request according to the target response speed, target stability and target adjustable capacity corresponding to the target recommendation enterprise, and feed back to the power grid.

[0089] The technical solution of the embodiment of the present invention determines the target capacity and the target execution time period in response to the response demand issued by the power grid; based on the target capacity and the target execution time period, the target enterprises are screened based on the preset first response library and the second response library to obtain the target recommended enterprises; wherein the first response library includes the response speed level of each target enterprise; the second response library includes the target adjustable capacity and ranking of each target enterprise in different candidate execution time periods; according to the target response speed, target stability and target adjustable capacity corresponding to the target recommended enterprise, a response capacity declaration request is generated and fed back to the power grid. By analyzing the indicator information of different power consuming enterprises according to the response demand and the preset response library, accurate target recommended enterprises can be determined to complete the capacity declaration to the power grid and improve the declaration efficiency and success rate.

[0090] Furthermore, the screening module 302 may include:

[0091] A first screening unit is used to determine at least two groups of candidate recommended enterprises from the target enterprises according to the ranking of each target enterprise in the second response library and the target adjustable capacity of each target enterprise in the target execution time period, if the capacity condition is met;

[0092] The second screening unit is used to determine the response speed level of each group of candidate recommended enterprises according to the first response library, so as to determine a group of target recommended enterprises from each group of candidate recommended enterprises.

[0093] Furthermore, the first screening unit is specifically used for:

[0094] Select at least one target enterprise in turn according to the ranking of each target enterprise in the second response database, and determine the total adjustable capacity of the selected target enterprise group according to the target adjustable capacity of each target enterprise in the target execution time period;

[0095] If the total adjustable capacity is greater than or equal to the target capacity, it is determined that the capacity condition is met, and the corresponding target enterprise group is determined as the candidate recommended enterprise to determine at least two groups of candidate recommended enterprises.

[0096] Furthermore, the above device also includes:

[0097] A data determination module, for responding to a generation request from a response library, controlling the virtual power plant to monitor the target enterprise for a preset time and determining monitoring data;

[0098] A ranking value determination module is used to evaluate the target response speed and target stability of each target enterprise according to the monitoring data, and determine the corresponding target ranking value of each target enterprise according to the target response speed and target stability of each target enterprise;

[0099] The generation module is used to determine the response speed level of each target enterprise according to the target ranking value to generate a first response library.

[0100] Furthermore, the ranking value determination module is specifically used for:

[0101] Determine the target response speed of each target enterprise based on the adjustment time in the monitoring data, combined with the target capacity and the initial load of the equipment involved in each target enterprise;

[0102] The target stability of each target enterprise is determined based on the number of measurements in the monitoring data and the regulation load obtained from each measurement.

[0103] Furthermore, the above device is also used for:

[0104] Determine the target adjustable capacity of each target enterprise in the target execution time period according to the enterprise operation plan of each target enterprise;

[0105] According to the target ranking value and target adjustable capacity of each target enterprise, the target recommended value is determined, and according to the target recommended value, a second response library is generated.

[0106] Embodiment 4

[0107] Figure 4 It is a schematic diagram of the structure of an electronic device provided in Embodiment 4 of the present invention. Figure 4 A schematic diagram of the structure of an electronic device 10 that can be used to implement an embodiment of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described and / or required herein.

[0108] like Figure 4As shown, the electronic device 10 includes at least one processor 11, and a memory connected to the at least one processor 11, such as a read-only memory (ROM) 12, a random access memory (RAM) 13, etc., wherein the memory stores a computer program that can be executed by at least one processor, and the processor 11 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 12 or the computer program loaded from the storage unit 18 to the random access memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 can also be stored. The processor 11, the ROM 12, and the RAM 13 are connected to each other through a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0109] A number of components in the electronic device 10 are connected to the I / O interface 15, including: an input unit 16, such as a keyboard, a mouse, etc.; an output unit 17, such as various types of displays, speakers, etc.; a storage unit 18, such as a disk, an optical disk, etc.; and a communication unit 19, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0110] The processor 11 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any appropriate processor, controller, microcontroller, etc. The processor 11 executes the various methods and processes described above, such as a power grid capacity declaration method.

[0111] In some embodiments, the grid capacity declaration method may be implemented as a computer program, which is tangibly contained in a computer-readable storage medium, such as a storage unit 18. In some embodiments, part or all of the computer program may be loaded and / or installed on the electronic device 10 via the ROM 12 and / or the communication unit 19. When the computer program is loaded into the RAM 13 and executed by the processor 11, one or more steps of the grid capacity declaration method described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured to execute the grid capacity declaration method in any other appropriate manner (e.g., by means of firmware).

[0112] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), system-on-chips (SOCs), complex programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0113] Computer programs for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that when the computer program is executed by the processor, the functions / operations specified in the flow chart and / or block diagram are implemented. The computer program may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0114] In the context of the present invention, a computer readable storage medium may be a tangible medium that may contain or store a computer program for use by or in conjunction with an instruction execution system, device, or equipment. A computer readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, semiconductor systems, devices, or equipment, or any suitable combination of the foregoing. Alternatively, a computer readable storage medium may be a machine readable signal medium. A more specific example of a machine readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0115] To provide interaction with a user, the systems and techniques described herein may be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or trackball) through which the user can provide input to the electronic device. Other types of devices may also be used to provide interaction with the user; for example, the feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form (including acoustic input, voice input, or tactile input).

[0116] The systems and techniques described herein may be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0117] A computing system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The client and server relationship is generated by computer programs running on the corresponding computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system to solve the defects of difficult management and weak business scalability in traditional physical hosts and VPS services.

[0118] In one embodiment, the embodiment of the present invention further includes a computer program product, the computer program product includes a computer program, and the computer program implements the power grid capacity reporting method of any embodiment of the present invention when executed by a processor.

[0119] In the process of implementation, the computer program product can be written in one or more programming languages ​​or a combination thereof to perform the computer program code of the present invention, including object-oriented programming languages, such as Java, Smalltalk, C++, and conventional procedural programming languages, such as "C" language or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer can be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or can be connected to an external computer (for example, using an Internet service provider to connect through the Internet).

[0120] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps described in the present invention can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solution of the present invention can be achieved, and this document does not limit this.

[0121] The above specific implementations do not constitute a limitation on the protection scope of the present invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for declaring power grid capacity, characterized in that: include: In response to a response demand issued by the power grid, determining a target capacity and a target execution time period; According to the target capacity and the target execution time period, the target enterprises are screened based on the preset first response library and second response library to obtain target recommended enterprises; wherein the first response library includes the response speed level of each target enterprise; the second response library includes the target adjustable capacity and ranking of each target enterprise in different candidate execution time periods; According to the target response speed, target stability and target adjustable capacity of the target recommended enterprise, a response capacity declaration request is generated and fed back to the power grid.

2. The method according to claim 1, characterized in that According to the target capacity and target execution time period, based on the preset first response library and second response library, the target enterprises are screened to obtain target recommended enterprises, including: According to the ranking of each target enterprise in the second response database and the target adjustable capacity of each target enterprise in the target execution time period, when the capacity condition is met, at least two groups of candidate recommended enterprises are determined from the target enterprises; According to the first response database, the response speed level of each group of candidate recommended enterprises is determined to determine a group of target recommended enterprises from each group of candidate recommended enterprises.

3. The method according to claim 2, characterized in that According to the ranking of each target enterprise in the second response database and the target adjustable capacity of each target enterprise in the target execution time period, at least two groups of candidate recommended enterprises are determined from the target enterprises when the capacity conditions are met, including: Select at least one target enterprise in turn according to the ranking of each target enterprise in the second response database, and determine the total adjustable capacity of the selected target enterprise group according to the target adjustable capacity of each target enterprise in the target execution time period; If the total adjustable capacity is greater than or equal to the target capacity, it is determined that the capacity condition is met, and the corresponding target enterprise group is determined as the candidate recommended enterprise to determine at least two groups of candidate recommended enterprises.

4. The method according to claim 1, characterized in that Also includes: In response to the generation request of the response library, the virtual power plant is controlled to monitor the target enterprise for a preset time period and determine the monitoring data; According to the monitoring data, the target response speed and target stability of each target enterprise are evaluated, and the corresponding target ranking value of each target enterprise is determined according to the target response speed and target stability of each target enterprise; According to the target ranking value, the response speed level of each target enterprise is determined to generate a first response library.

5. The method according to claim 4, characterized in that Based on the monitoring data, evaluate the target response speed and target stability of each target enterprise, including: Determine the target response speed of each target enterprise based on the adjustment time in the monitoring data, combined with the target capacity and the initial load of the equipment involved in each target enterprise; The target stability of each target enterprise is determined based on the number of measurements in the monitoring data and the regulation load obtained from each measurement.

6. The method according to claim 1, characterized in that Also includes: Determine the target adjustable capacity of each target enterprise in the target execution time period according to the enterprise operation plan of each target enterprise; According to the target ranking value and target adjustable capacity of each target enterprise, the target recommended value is determined, and according to the target recommended value, a second response library is generated.

7. A power grid capacity reporting device, characterized in that: include: A determination module, configured to determine a target capacity and a target execution time period in response to a response demand issued by the power grid; A screening module is used to screen target enterprises according to target capacity and target execution time period based on a preset first response library and a second response library to obtain target recommended enterprises; wherein the first response library includes the response speed level of each target enterprise; the second response library includes the target adjustable capacity and ranking of each target enterprise in different candidate execution time periods; The feedback module is used to generate a response capacity declaration request based on the target response speed, target stability and target adjustable capacity corresponding to the target recommendation enterprise, and feed back to the power grid.

8. An electronic device, characterized in that: The electronic device comprises: at least one processor; and a memory communicatively connected to the at least one processor; wherein, The memory stores a computer program executed by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the power grid capacity declaration method according to any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the power grid capacity reporting method according to any one of claims 1 to 6 when executed.

10. A computer program product, characterized in that The computer program product comprises a computer program, and when the computer program is executed by a processor, the computer program implements the method for declaring power grid capacity according to any one of claims 1 to 6.

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