Method, device and equipment for evaluating intraday execution condition of orderly power utilization and medium

Abstract

The invention belongs to the technical field of power systems, and particularly relates to a method, a device and equipment for evaluating intraday execution conditions of orderly power utilization and a medium. The method comprises the following steps: according to index data and attribute information of each user, constructing an orderly power utilization load portrait of each user; according to the orderly power utilization load portrait of each user, respectively determining a load portrait comprehensive measurement value of each user; according to the attribute information of each user and the load portrait comprehensive measurement value, determining a feeder comprehensive measurement value of the user cluster; according to the feeder comprehensive measurement value of each user cluster, determining an orderly power utilization comprehensive measurement value of the regional power grid; and determining an in-day execution condition evaluation result of ordered power utilization of each feeder based on the feeder comprehensive measurement value of the user cluster, and determining an in-day execution condition evaluation result of ordered power utilization of each regional power grid based on the ordered power utilization comprehensive measurement value of the regional power grid. According to the invention, the electricity utilization characteristics and the orderly electricity utilization capability of the user can be comprehensively and accurately evaluated, and powerful decision support is provided for an electric power regulation and control department.

Description

Technical Field

[0001] The present invention belongs to the technical field of electric power systems, and in particular relates to a method, device, equipment and medium for evaluating the execution of orderly electricity consumption during the day. Background Art

[0002] With a high proportion of clean energy connected to the power grid, tight power balance scenarios are becoming the norm, posing severe challenges to the safe and stable operation of the power system. Domestic electricity demand continues to grow, and the load has repeatedly set new highs. However, the uncertainty of new energy output and the insufficient output of traditional thermal power due to resource constraints have made the power supply situation extremely severe. Especially during peak power consumption periods, such as summer and winter, local and periodic power supply gaps have long existed, and many places have had to adopt power rationing measures, which has brought huge pressure to power regulation.

[0003] The orderly power consumption plan issued by the government is usually different from the actual implementation process. During the implementation of orderly power consumption, power supply units need to face a variety of uncertainties or emergencies. Only by comprehensively weighing the safety boundary, load characteristics, regulation costs, and comprehensive benefits of the system under the power tight balance scenario can the orderly power consumption plan be reasonably implemented and the service quality be improved. At present, various parts of my country have accumulated rich experience in orderly power consumption, but also exposed some problems that need to be further improved. Especially when implementing orderly power supply, the relevant government power management departments cannot fully and effectively grasp the power load of each unit and enterprise. The adjustable loads in different regions have differences in time scale, response speed, regulation range, and regulation cost. There are great difficulties in their aggregation analysis and coordinated regulation, which is not conducive to the rational allocation of power resources. The ability to perform real-time quantitative evaluation and analysis of orderly power consumption within the day is insufficient.

[0004] Therefore, there is an urgent need to use technical means to scientifically and accurately analyze the operating status of orderly power load during the day and grasp the daily implementation of orderly power consumption in provincial and local power grids. Summary of the invention

[0005] The purpose of the present invention is to provide a method, device, equipment and medium for evaluating the execution status of orderly electricity consumption during the day, so as to solve the technical problem of how to accurately grasp the execution status of orderly electricity consumption in provincial and local power grids during the day in the prior art.

[0006] In order to achieve the above object, the present invention adopts the following technical solution: In a first aspect, the present invention provides a method for evaluating the execution of orderly electricity consumption within a day, comprising the following steps: Obtain indicator data and attribute information of each user in the regional power grid; According to the index data of each user, an orderly power load portrait including the static attributes, dynamic characteristics and real-time status of each user is constructed; according to the orderly power load portrait of each user, a comprehensive measurement value of the load portrait of each user is determined respectively; According to the attribute information of each user and the comprehensive measurement value of the load profile, the comprehensive measurement value of the feeder of the user cluster is determined; according to the comprehensive measurement value of the feeder of each user cluster, the comprehensive measurement value of the orderly power consumption of the regional power grid is determined; The evaluation results of the daily execution of orderly power consumption of each feeder are determined based on the comprehensive measurement value of the feeder of the user cluster, and the evaluation results of the daily execution of orderly power consumption of each regional power grid are determined based on the comprehensive measurement value of orderly power consumption of the regional power grid.

[0007] Furthermore, in the step of obtaining the index data and attribute information of each user of the regional power grid, The indicator data includes user level, user capacity, response time, basic adjustable capacity, N-1 adjustable capacity, N-2 adjustable capacity, real-time measurement, safety status, and load forecast after considering orderly power consumption control measures; The attribute information includes the name, type, weight, feeder and region of each user.

[0008] Furthermore, according to the orderly power load portrait of each user, a comprehensive measurement value of the load portrait of each user is determined respectively, including: Calculate the comprehensive measure of the static properties of orderly electricity consumption of each user , the calculation formula is:

[0009] Calculate the comprehensive measure of the orderly power consumption dynamic characteristics of each user , the calculation formula is:

[0010] Calculate the comprehensive measure of the real-time state of orderly power consumption of each user , the calculation formula is:

[0011] Calculate the comprehensive measurement value of each user's orderly power load portrait , the calculation formula is:

[0012] In the above formula, i represents user i, n represents the number of users, is user level; is the response time; is user capacity; As the basic adjustable capability; N-1 adjustable capacity; N-2 adjustable capacity; It is a safe state; For real-time measurement; This is the load forecast after considering orderly power consumption control measures.

[0013] Furthermore, based on the attribute information of each user and the comprehensive measurement value of the load profile, the comprehensive measurement value of the feeder of the user cluster is determined; based on the comprehensive measurement value of the feeder of each user cluster, the comprehensive measurement value of orderly power consumption of the regional power grid is determined, including: Determine the feeder to which each user belongs according to the attribute information of each user; The comprehensive load profile measurement values ​​of each user under the same feeder are weighted summed to obtain the feeder comprehensive measurement value of the user cluster; The comprehensive measurement values ​​of feeders of each user cluster in the same region are weighted and summed to obtain the comprehensive measurement value of orderly power consumption of the power grid in each region.

[0014] Furthermore, based on the comprehensive measurement value of the feeder of the user cluster, the evaluation result of the execution of the orderly power consumption of each feeder during the day is determined, and based on the comprehensive measurement value of the orderly power consumption of the regional power grid, the evaluation result of the execution of the orderly power consumption of each regional power grid during the day is determined, including: Compare the feeder comprehensive measurement value of the user cluster with the preset first scoring interval to determine the scoring level corresponding to the feeder; The comprehensive measurement value of orderly electricity consumption of the regional power grid is compared with the preset second scoring interval to determine the corresponding scoring level of the regional power grid.

[0015] In a second aspect, the present invention provides a device for evaluating the execution of orderly electricity consumption within a day, comprising: A data acquisition module is used to obtain the index data and attribute information of each user of the regional power grid; The first calculation module is used to construct an orderly power load portrait including static attributes, dynamic characteristics and real-time status of each user according to the indicator data of each user; and determine the comprehensive measurement value of the load portrait of each user according to the orderly power load portrait of each user; The second calculation module is used to determine the feeder comprehensive measurement value of the user cluster according to the attribute information of each user and the comprehensive measurement value of the load profile; and determine the comprehensive measurement value of orderly power consumption of the regional power grid according to the feeder comprehensive measurement value of each user cluster; The score evaluation module is used to determine the evaluation results of the daily execution of orderly power consumption of each feeder based on the comprehensive measurement value of the feeder of the user cluster, and to determine the evaluation results of the daily execution of orderly power consumption of each regional power grid based on the comprehensive measurement value of orderly power consumption of the regional power grid.

[0016] Further, in the data acquisition module, the indicator data includes user level, user capacity, response time, basic adjustable capacity, N-1 adjustable capacity, N-2 adjustable capacity, real-time measurement, safety status, and load forecast after considering orderly power consumption control measures; The attribute information includes the name, type, weight, feeder and region of each user.

[0017] Furthermore, in the first calculation module: Calculate the comprehensive measure of the static properties of orderly electricity consumption of each user , the calculation formula is:

[0018] Calculate the comprehensive measure of the orderly power consumption dynamic characteristics of each user , the calculation formula is:

[0019] Calculate the comprehensive measure of the real-time state of orderly power consumption of each user , the calculation formula is:

[0020] Calculate the comprehensive measurement value of each user's orderly power load portrait , the calculation formula is:

[0021] In the above formula, i represents user i, n represents the number of users, is user level; is the response time; is user capacity; As the basic adjustable capability; N-1 adjustable capacity; N-2 adjustable capacity; It is a safe state; For real-time measurement; This is the load forecast after considering orderly power consumption control measures.

[0022] According to a third aspect of the present invention, there is provided an electronic device, comprising a processor and a memory, wherein the processor is configured to execute a computer program stored in the memory to implement the above method for evaluating the daily execution of orderly electricity consumption.

[0023] According to a fourth aspect of the present invention, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores at least one instruction, and when the at least one instruction is executed by a processor, the method for evaluating the execution status of orderly electricity consumption during the day is implemented as described above.

[0024] Compared with the prior art, the beneficial effects of the present invention are as follows: The method for evaluating the execution of orderly power consumption during the day proposed in this plan obtains orderly power consumption index data and constructs an orderly power consumption load portrait that takes into account the user's static attributes, dynamic characteristics, and real-time status indicators. It can fully reflect the user's power consumption characteristics and orderly power consumption capabilities, and provide strong support for evaluating the execution of orderly power consumption. In addition, the constructed orderly power consumption load portrait can strengthen the interoperability of multi-dimensional lean related data, realize the integration of orderly power consumption professional data, improve the utilization efficiency of data, and provide more accurate and comprehensive data support for subsequent analysis and decision-making.

[0025] In this scheme, the comprehensive measurement value of orderly power consumption of feeders of user clusters and the comprehensive measurement value of orderly power consumption of power grids in various regions are obtained by weighted summation of weight factors. This can realize flexible adjustment of the weights of each user and each feeder, fully consider the differences in different regions and different loads, and make the evaluation results more in line with reality.

[0026] This scheme calculates the degree to which the comprehensive measurement of orderly electricity consumption deviates from the healthy value and obtains the graded evaluation results of the daily execution of orderly electricity consumption in each feeder and regional power grid, which improves the accuracy of the evaluation, shortens the evaluation cycle, and provides timely and accurate decision-making basis for the power control department.

[0027] In summary, this solution obtains comprehensive orderly electricity consumption index data, constructs an orderly electricity consumption load portrait that takes into account the user's static attributes, dynamic characteristics, and real-time status indicators, and proposes calculation formulas for the comprehensive measurement value of the user's orderly electricity consumption load portrait, the comprehensive measurement value of the orderly electricity consumption of the feeder of the user cluster, and the comprehensive measurement value of the orderly electricity consumption of the regional power grid. According to the degree to which the comprehensive measurement of orderly electricity consumption deviates from the healthy value, the graded evaluation results of the daily execution of orderly electricity consumption of each feeder and each regional power grid are calculated. It can comprehensively and accurately evaluate the user's electricity consumption characteristics and orderly electricity consumption capabilities, provide powerful decision-making support for the power control department, and realize the reasonable allocation of power resources and the effective implementation of orderly electricity consumption. The device for evaluating the execution of orderly electricity consumption during the day, electronic equipment, and computer-readable storage medium provided by the present invention also solve the problems raised in the background technology section. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] The drawings constituting a part of the present application are used to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings: Figure 1 A method for evaluating the execution of orderly electricity consumption during the day according to an embodiment of the present invention Figure 2 A schematic diagram of orderly power load portrait in an embodiment of the present invention; Figure 3This is a structural block diagram of a device for evaluating the execution status of orderly electricity consumption during the day according to an embodiment of the present invention; Figure 4 The present invention is a structural block diagram of an electronic device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0029] The present invention will be described in detail below with reference to the accompanying drawings and in combination with embodiments. It should be noted that the embodiments and features in the embodiments of the present application can be combined with each other without conflict.

[0030] The following detailed description is an exemplary description, which is intended to provide further detailed description of the present invention. Unless otherwise specified, all technical terms used in the present invention have the same meaning as those generally understood by those skilled in the art to which the present application belongs. The terms used in the present invention are only for describing specific embodiments, and are not intended to limit exemplary embodiments according to the present invention.

[0031] Measure: In mathematics, this concept is a generalization of geometric concepts such as length, area, and volume. Simply put, for a set of measurable indicators, a measure can give the "size" of this set of indicators.

[0032] Normalization method: Different evaluation indicators often have different dimensions and dimensional units. The normalization method can limit the preprocessed data to a certain range, eliminate the influence of the dimension and make the data comparable.

[0033] Example 1 like Figure 1 As shown, a method for evaluating the execution of orderly electricity consumption within a day includes the following steps: S1. Obtain indicator data and attribute information of each user of the regional power grid.

[0034] In step S1, the indicator data includes user level, user capacity, response time, basic adjustable capacity, N-1 adjustable capacity, N-2 adjustable capacity, real-time measurement, safety status and load forecast after considering orderly power consumption control measures; the attribute information includes the name, type, weight, feeder and region of each user.

[0035] In one embodiment, the weight of the user may be determined according to the type of the user.

[0036] Specifically, users can be divided into different types according to their electricity consumption nature, scale, importance, etc., such as industrial users, commercial users, residential users, etc. The weights of different types of users are set according to their impact on the power grid and their electricity demand.

[0037] In an optional embodiment, the indicator data and attribute information of each user are obtained from the control system.

[0038] Specifically, the control system obtains the user level (UL), user capacity (UC), response time (RT), basic adjustable capacity (BAC), N-1 adjustable capacity (N1AC), N-2 adjustable capacity (N2AC), real-time measurement (LR), load forecast after considering orderly power consumption control measures (LF), safety status (SA) and other indicator data of each user in the regional power grid; obtains the name, type, weight, feeder, region and other attribute information of each user.

[0039] in: The user level indicator UL is a discrete variable with a value range of {4,3,2,1}, representing special users, first-level users, second-level users, and third-level users respectively; The user capacity index UC, the basic adjustable capacity index BAC, the N-1 adjustable capacity index N1AC, the N-2 adjustable capacity index N2AC, the real-time measurement index LR, and the load forecast index LF are continuous variables with a value range greater than or equal to 0, and the unit is megawatt; The response time indicator RT is a discrete variable with a value range of {10,8,4,1}, which represents milliseconds, seconds, minutes, and hours respectively; The indicator SA of the safety status is a discrete variable with a value range of {3, 2, 1}, representing warning, good, and healthy respectively.

[0040] In a preferred embodiment, after the above data is obtained, each indicator data of the user is normalized.

[0041] Specifically, the maximum value normalization method can be used to normalize all indicator data. The calculation formula is as follows:

[0042] In the formula, n represents the total number of users, i represents the i-th user, X represents the indicator name, represents the value of indicator X of the i-th user, represents the normalized data and .

[0043] Optionally, if there are extreme values ​​or uneven distribution in the data, it can be processed by combining Z-score standardization, minimum-maximum standardization, etc.

[0044] In one embodiment, when the source data is normalized using the maximum value normalization method, if the maximum value in the data set is an outlier, the normalization result may be affected by the outlier, resulting in inaccurate data processing results. Therefore, when normalizing the user's various indicator data, this solution preprocesses and checks the data and removes data with excessive deviation.

[0045] In one embodiment, in addition to directly eliminating outliers, the outliers may be corrected by interpolation, mean substitution, or the like, or a threshold may be set for screening.

[0046] S2. Constructing an orderly power load portrait including static attributes, dynamic characteristics and real-time status of each user according to the index data of each user; determining a comprehensive measurement value of the load portrait of each user according to the orderly power load portrait of each user; In step S2, an orderly power load profile including static attributes, dynamic characteristics, and real-time status of regional power grid users is constructed. Figure 2 As shown, where: The static attributes include indicators such as user level (UL), user capacity (UC), and response time (RT); The indicators included in the dynamic characteristics include basic adjustable capacity (BAC), N-1 adjustable capacity (N1AC), and N-2 adjustable capacity (N2AC); The real-time status includes indicators such as real-time measurement (LR), load forecast (LF), and safety status (SA).

[0047] In step S2, a comprehensive measurement value of the orderly power load portrait of each user is calculated by mathematical methods to evaluate the actual implementation of the user's orderly power consumption during the day.

[0048] Specifically, according to the orderly power load portrait of each user, the comprehensive measurement value of the load portrait of each user is determined respectively, including: Calculate the comprehensive measure of the static properties of orderly electricity consumption of each user , the calculation formula is:

[0049] Calculate the comprehensive measure of the orderly power consumption dynamic characteristics of each user , the calculation formula is:

[0050] Calculate the comprehensive measure of the real-time state of orderly power consumption of each user , the calculation formula is:

[0051] Combining the three types of indicators, the comprehensive measurement value of the orderly power load portrait of each user is calculated. , the calculation formula is:

[0052] In the above formula, i represents user i, n represents the number of users, is user level; is the response time; is user capacity; As the basic adjustable capability; N-1 adjustable capacity; N-2 adjustable capacity; It is a safe state; For real-time measurement; This is the load forecast after considering orderly power consumption control measures.

[0053] S3. Determine the feeder comprehensive measurement value of the user cluster according to the attribute information of each user and the comprehensive measurement value of the load profile; determine the comprehensive measurement value of orderly power consumption of the regional power grid according to the feeder comprehensive measurement value of each user cluster; Step S3 specifically includes: determining the feeder to which each user belongs based on the attribute information of each user; weighted summing up the comprehensive measurement values ​​of the load portraits of each user under the same feeder to obtain the comprehensive measurement value of the feeder of the user cluster; weighted summing up the comprehensive measurement values ​​of the feeders of each user cluster in the same region to obtain the comprehensive measurement value of orderly power consumption of the power grid in each region.

[0054] In one embodiment, a weighted sum is performed to obtain a comprehensive measurement value of orderly power consumption of feeders.

[0055] Specifically, according to the attribute information of the feeder to which each user belongs, the weighted sum is used to obtain the feeder comprehensive measurement value of the user cluster: , the calculation formula is:

[0056] Where m represents the total number of feeders, represents the total number of users within the power supply range of the jth feeder; represents the weight of the i-th user and .

[0057] In one embodiment, the weighted sum is used to obtain the comprehensive measurement value of orderly power consumption of the regional power grid: Specifically, according to the attribute information of the region to which each feeder belongs, the weighted sum is used to obtain the comprehensive measurement value of orderly power consumption of the power grid in each region. , the calculation formula is:

[0058] In the formula, s represents the total number of regions, represents the total number of feeders within the power supply range of the kth region; represents the weight of the jth feeder and .

[0059] S4. Determine the evaluation results of the daily execution of orderly power consumption of each feeder based on the comprehensive measurement value of the feeder of the user cluster, and determine the evaluation results of the daily execution of orderly power consumption of each regional power grid based on the comprehensive measurement value of orderly power consumption of the regional power grid.

[0060] Step S4 specifically includes: comparing the comprehensive measurement value of the feeder of the user cluster with the preset first scoring interval to determine the scoring level corresponding to the feeder; comparing the comprehensive measurement value of the orderly power consumption of the regional power grid with the preset second scoring interval to determine the scoring level corresponding to the regional power grid.

[0061] In one embodiment, the orderly power consumption of each feeder and each regional power grid is evaluated in the following manner: According to the degree to which the comprehensive measurement of orderly power consumption deviates from the healthy value, the daily execution of orderly power consumption of each feeder and each regional power grid is evaluated (A-excellent; B-good; C-qualified; D-poor). The evaluation formula is:

[0062]

[0063] in, represents the evaluation result of the orderly power consumption of the j-th feeder during the day, It represents the evaluation result of the orderly electricity consumption implementation in the k-th region.

[0064] The above scheme proposes an analysis method for the execution of orderly power consumption in regional power grids during the day, covering static attributes, dynamic characteristics and real-time status indicators. First, all user data of the regional power grid is obtained from the control system and normalized to obtain standard indicator data; secondly, an orderly power consumption load portrait containing user static attributes, dynamic characteristics and real-time status indicators is constructed, and the comprehensive measurement value of the user orderly power consumption load portrait is calculated; then, the weighted sum is used to obtain the comprehensive measurement value of feeder orderly power consumption of the user cluster, and the comprehensive measurement value of orderly power consumption of the regional power grid is further obtained; finally, according to the degree to which the comprehensive measurement of orderly power consumption deviates from the healthy value, the execution of orderly power consumption in the power grids in each region is evaluated.

[0065] In an optional embodiment, after obtaining the evaluation results of the execution of the orderly power consumption of the feeder line and the orderly power consumption of the regional power grid, the shortcomings of the orderly power consumption scheme of the feeder line and the regional power grid with lower scores are analyzed, such as inaccurate load forecasting, unreasonable control measures, etc. In response to these problems, specific adjustment strategies are formulated, including optimizing the load forecasting model, adjusting the control measures, etc.

[0066] Example 2 like Figure 3 As shown, based on the same inventive concept as the above embodiment, the present invention also provides an evaluation device for orderly electricity consumption within a day, comprising: A data acquisition module is used to obtain the index data and attribute information of each user of the regional power grid; The first calculation module is used to construct an orderly power load portrait including static attributes, dynamic characteristics and real-time status of each user according to the indicator data of each user; and determine the comprehensive measurement value of the load portrait of each user according to the orderly power load portrait of each user; The second calculation module is used to determine the feeder comprehensive measurement value of the user cluster according to the attribute information of each user and the comprehensive measurement value of the load profile; and determine the comprehensive measurement value of orderly power consumption of the regional power grid according to the feeder comprehensive measurement value of each user cluster; The score evaluation module is used to determine the evaluation results of the daily execution of orderly power consumption of each feeder based on the comprehensive measurement value of the feeder of the user cluster, and to determine the evaluation results of the daily execution of orderly power consumption of each regional power grid based on the comprehensive measurement value of orderly power consumption of the regional power grid.

[0067] In the data acquisition module, the indicator data includes user level, user capacity, response time, basic adjustable capacity, N-1 adjustable capacity, N-2 adjustable capacity, real-time measurement, safety status and load forecast after considering orderly power consumption control measures; the attribute information includes the name, type, weight, feeder and region of each user.

[0068] Example 3 like Figure 4 As shown, the present invention also provides an electronic device 100 for implementing a method for evaluating the execution of orderly electricity consumption within a day; The electronic device 100 includes a memory 101 , at least one processor 102 , a computer program 103 stored in the memory 101 and executable on the at least one processor 102 , and at least one communication bus 104 .

[0069] The memory 101 can be used to store a computer program 103. The processor 102 implements the steps of a method for evaluating the execution status of orderly electricity consumption during the day in Example 1 by running or executing the computer program stored in the memory 101 and calling the data stored in the memory 101.

[0070] The memory 101 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application required for at least one function (such as a sound playback function, an image playback function, etc.), etc.; the data storage area may store data (such as audio data) created according to the use of the electronic device 100, etc. In addition, the memory 101 may include a non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), at least one disk storage device, a flash memory device, or other non-volatile solid-state storage devices.

[0071] At least one processor 102 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The processor 102 may be a microprocessor or any conventional processor, etc. The processor 102 is the control center of the electronic device 100, and uses various interfaces and lines to connect various parts of the entire electronic device 100.

[0072] The memory 101 in the electronic device 100 stores a plurality of instructions to implement a method for evaluating the execution of orderly electricity consumption within a day, and the processor 102 can execute the plurality of instructions to implement: Obtain indicator data and attribute information of each user in the regional power grid; According to the index data of each user, an orderly power load profile including static attributes, dynamic characteristics and real-time status of each user is constructed; according to the orderly power load profile of each user, a comprehensive measurement value of the load profile of each user is determined respectively; According to the attribute information of each user and the comprehensive measurement value of the load profile, the comprehensive measurement value of the feeder of the user cluster is determined; according to the comprehensive measurement value of the feeder of each user cluster, the comprehensive measurement value of the orderly power consumption of the regional power grid is determined; The evaluation results of the daily execution of orderly power consumption of each feeder are determined based on the comprehensive measurement value of the feeder of the user cluster, and the evaluation results of the daily execution of orderly power consumption of each regional power grid are determined based on the comprehensive measurement value of orderly power consumption of the regional power grid.

[0073] Example 4 If the module / unit integrated in the electronic device 100 is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present invention implements all or part of the processes in the above-mentioned embodiment method, and can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and the computer program can implement the steps of the above-mentioned method embodiments when executed by the processor. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. Computer-readable media may include: any entity or device capable of carrying computer program code, recording medium, U disk, mobile hard disk, disk, optical disk, computer memory and read-only memory (ROM, Read-Only Memory).

[0074] It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0075] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0076] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0077] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0078] In the description of this specification, the description with reference to the terms "one embodiment", "example", "specific example", 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 invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0079] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A method for evaluating the execution of orderly electricity consumption within a day, characterized in that: The steps include: Obtain indicator data and attribute information of each user in the regional power grid; According to the indicator data of each user, an orderly power load portrait including static attributes, dynamic characteristics and real-time status of each user is constructed; Determine the comprehensive measurement value of the load profile of each user according to the orderly power load profile of each user; Determine the feeder comprehensive measurement value of the user cluster based on the attribute information of each user and the comprehensive measurement value of the load profile; Determine the comprehensive measurement value of orderly power consumption of the regional power grid based on the comprehensive measurement value of the feeder of each user cluster; The evaluation results of the daily execution of orderly power consumption of each feeder are determined based on the comprehensive measurement value of the feeder of the user cluster, and the evaluation results of the daily execution of orderly power consumption of each regional power grid are determined based on the comprehensive measurement value of orderly power consumption of the regional power grid.

2. The method for evaluating the execution of orderly electricity consumption within a day according to claim 1, characterized in that: In the step of obtaining the index data and attribute information of each user of the regional power grid, The indicator data includes user level, user capacity, response time, basic adjustable capacity, N-1 adjustable capacity, N-2 adjustable capacity, real-time measurement, safety status, and load forecast after considering orderly power consumption control measures; The attribute information includes the name, type, weight, feeder and region of each user.

3. The method for evaluating the execution of orderly electricity consumption within a day according to claim 1, characterized in that: According to the orderly power load portrait of each user, a comprehensive measurement value of the load portrait of each user is determined respectively, including: Calculate the comprehensive measure of the static properties of orderly electricity consumption of each user , the calculation formula is: Calculate the comprehensive measure of the orderly power consumption dynamic characteristics of each user , the calculation formula is: Calculate the comprehensive measure of the orderly power consumption real-time status of each user , the calculation formula is: Calculate the comprehensive measurement value of each user's orderly power load portrait , the calculation formula is: In the above formula, i represents user i, n represents the number of users, is user level; is the response time; is user capacity; As the basic adjustable capability; N-1 adjustable capacity; N-2 adjustable capacity; It is a safe state; For real-time measurement; This is the load forecast after considering orderly power consumption control measures.

4. The method for evaluating the execution of orderly electricity consumption in a day according to claim 1, characterized in that: Determine the feeder comprehensive measurement value of the user cluster based on the attribute information of each user and the comprehensive measurement value of the load profile; According to the comprehensive measurement value of the feeder of each user cluster, the comprehensive measurement value of orderly power consumption of the regional power grid is determined, including: Determine the feeder to which each user belongs according to the attribute information of each user; The comprehensive load profile measurement values ​​of each user under the same feeder are weighted summed to obtain the feeder comprehensive measurement value of the user cluster; The comprehensive measurement values ​​of feeders of each user cluster in the same region are weighted and summed to obtain the comprehensive measurement value of orderly power consumption of the power grid in each region.

5. The method for evaluating the execution of orderly electricity consumption during the day according to claim 1, characterized in that: The evaluation results of the execution of orderly power consumption of each feeder during the day are determined based on the comprehensive measurement value of the feeder of the user cluster, and the evaluation results of the execution of orderly power consumption of each regional power grid during the day are determined based on the comprehensive measurement value of orderly power consumption of the regional power grid, including: Compare the feeder comprehensive measurement value of the user cluster with the preset first scoring interval to determine the scoring level corresponding to the feeder; The comprehensive measurement value of orderly electricity consumption of the regional power grid is compared with the preset second scoring interval to determine the corresponding scoring level of the regional power grid.

6. A device for evaluating the execution of orderly electricity consumption during the day, characterized in that: include: A data acquisition module is used to obtain the index data and attribute information of each user of the regional power grid; A first calculation module is used to construct an orderly power load portrait including static attributes, dynamic characteristics and real-time status of each user according to the indicator data of each user; Determine the comprehensive measurement value of the load profile of each user according to the orderly power load profile of each user; The second calculation module is used to determine the feeder comprehensive measurement value of the user cluster according to the attribute information of each user and the comprehensive measurement value of the load profile; and determine the comprehensive measurement value of orderly power consumption of the regional power grid according to the feeder comprehensive measurement value of each user cluster; The score evaluation module is used to determine the evaluation results of the daily execution of orderly power consumption of each feeder based on the comprehensive measurement value of the feeder of the user cluster, and to determine the evaluation results of the daily execution of orderly power consumption of each regional power grid based on the comprehensive measurement value of orderly power consumption of the regional power grid.

7. The device for evaluating the execution of orderly electricity consumption in a day according to claim 6, characterized in that: In the data acquisition module, the indicator data includes user level, user capacity, response time, basic adjustable capacity, N-1 adjustable capacity, N-2 adjustable capacity, real-time measurement, safety status, and load forecast after considering orderly power consumption control measures; The attribute information includes the name, type, weight, feeder and region of each user.

8. The device for evaluating the execution of orderly electricity consumption in a day according to claim 6, characterized in that: In the first calculation module: Calculate the comprehensive measure of the static properties of orderly electricity consumption of each user , the calculation formula is: Calculate the comprehensive measure of the orderly power consumption dynamic characteristics of each user , the calculation formula is: Calculate the comprehensive measure of the orderly power consumption real-time status of each user , the calculation formula is: Calculate the comprehensive measurement value of each user's orderly power load portrait , the calculation formula is: In the above formula, i represents user i, n represents the number of users, is user level; is the response time; is user capacity; As the basic adjustable capability; N-1 adjustable capacity; N-2 adjustable capacity; It is a safe state; For real-time measurement; This is the load forecast after considering orderly power consumption control measures.

9. An electronic device, characterized in that: It comprises a processor and a memory, wherein the processor is used to execute a computer program stored in the memory to implement the method for evaluating the daily execution of orderly electricity consumption as described in any one of claims 1 to 6.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores at least one instruction, and when the at least one instruction is executed by the processor, the method for evaluating the daily execution of orderly electricity consumption as described in any one of claims 1 to 6 is implemented.

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