Power load management method and system based on dual-carbon target multi-scene service, electronic equipment and storage medium

Abstract

The invention discloses a power load management method and system based on dual-carbon target multi-scene service, electronic equipment and a storage medium, and the method comprises the steps: constructing a load finite element analysis model according to historical structure data and historical operation data of a target power system, and carrying out a simulation experiment based on the load finite element analysis model; determining current load data of the target power system according to the current simulation experiment result; determining a load regulation and control object and a structure optimization object according to a dual-carbon target of a target power system, multi-scene service information and the current load data; and managing the power load of the target power system according to the load regulation and control object and the structure optimization object. The accuracy of load management can be effectively improved, and the utilization rate of energy is further improved.

Description

Technical Field

[0001] The present invention relates to the field of electric power engineering technology, and in particular to an electric power load management method, system, electronic device and storage medium based on dual-carbon target multi-scenario services. Background Art

[0002] With the continuous improvement of the automation level of the power industry and the widespread application of big data technology, power load management plays an increasingly important role in the operation of the power system. Power load management can realize multi-faceted load management and power control to ensure the stable operation of the power system and meet the needs of users, while achieving effective use of energy and reducing operating costs. The current common way to manage power load is to use questionnaires or user feedback on electricity consumption data for load regulation. However, the above data sources are highly subjective and overall one-sided, which ultimately results in low accuracy in managing power loads. Summary of the invention

[0003] The purpose of this section is to summarize some aspects of embodiments of the present invention and briefly introduce some preferred embodiments. Some simplifications or omissions may be made in this section and the specification abstract and the invention title of this application to avoid blurring the purpose of this section, the specification abstract and the invention title, and such simplifications or omissions cannot be used to limit the scope of the present invention.

[0004] In view of the above existing problems, the present invention is proposed.

[0005] Therefore, the present invention provides an electric load management method, system, electronic device and storage medium based on dual-carbon target multi-scenario services to solve the problem of high computational complexity of existing optimization algorithms.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0007] In a first aspect, the present invention provides a method for managing power load based on dual-carbon target multi-scenario services, comprising:

[0008] Constructing a load finite element analysis model according to historical structural data and historical operating data of the target power system, and performing simulation experiments based on the load finite element analysis model;

[0009] According to the current simulation experiment results, determine the current load data of the target power system;

[0010] Determine the load regulation object and the structure optimization object according to the dual carbon goals of the target power system, the multi-scenario service information and the current load data;

[0011] The power load of the target power system is managed according to the load regulation object and the structure optimization object.

[0012] As a preferred solution of the power load management method based on dual carbon target multi-scenario service described in the present invention, wherein:

[0013] The method of constructing a load finite element analysis model according to the historical structural data and historical operation data of the target power system and performing a simulation experiment based on the load finite element analysis model comprises the following steps:

[0014] Gridding the structure of the target power system from the dimensions of power generation, power transmission and power distribution according to the historical structure data to obtain a multi-dimensional grid;

[0015] Determining an analysis object for the target power system;

[0016] Acquire load data of the target power system when it operates with various historical operation data;

[0017] Constructing a load finite element analysis model according to the multi-dimensional grid, the analysis object and the load data;

[0018] Determining a current operating scenario of the target power system, and determining simulation application data according to the current operating scenario;

[0019] A simulation experiment is performed based on the load finite element analysis model according to the simulation application data.

[0020] As a preferred solution of the power load management method based on dual carbon target multi-scenario service described in the present invention, wherein:

[0021] Determining the load regulation object and the structure optimization object according to the dual-carbon goals of the target power system, the multi-scenario service information and the current load data includes the following steps:

[0022] Acquire characteristic information of a target power system, and determine a dual-carbon target of the target power system according to the characteristic information, wherein the dual-carbon target includes a carbon peak target and a carbon neutrality target;

[0023] Determine the service area of ​​the target power system, and obtain the power consumption characteristics, land use characteristics and load fluctuation data of the service area;

[0024] Determine multi-scenario service information according to the nature of electricity use, the nature of land use, and the load fluctuation data, wherein the multi-scenario service information includes residential electricity use scenario services, commercial electricity use scenario services, and industrial electricity use scenario services;

[0025] Predicting the carbon emissions of the target power system according to the current load data;

[0026] Determining the carbon neutrality of the target power system within a preset time period;

[0027] Determine the structural optimization object according to the carbon emissions, the carbon neutrality, the carbon peak target and the carbon neutrality target;

[0028] Determine branch load data under the residential electricity usage scenario service, the commercial electricity usage scenario service, and the industrial electricity usage scenario service according to the current load data;

[0029] A load regulation object is determined according to the branch load data.

[0030] As a preferred solution of the power load management method based on dual carbon target multi-scenario service described in the present invention, wherein:

[0031] Determining the load regulation object according to the branch load data comprises the following steps:

[0032] If it is determined that the electrical equipment in the residential electricity usage scenario service, commercial electricity usage scenario service, and industrial electricity usage scenario service has inductive characteristics, determine whether to use capacitors for line compensation;

[0033] When it is determined to use a capacitor for line compensation, obtaining the capacitive reactance of the capacitor;

[0034] Calculating the voltage loss value according to the capacitive reactance, line load data and line electrical parameters;

[0035] Calculate line loss value based on phase, line load data and line parameters;

[0036] Determining a load regulation object according to the voltage loss value, the line loss value and the branch load data;

[0037] The voltage loss value is expressed as:

[0038]

[0039] Among them, U s Indicates the voltage loss value, P indicates the line active load, Q indicates the line reactive load, R indicates the line resistance, X indicates the line reactance, U indicates the line voltage, X indicates the line c It represents the capacitive reactance of capacitor;

[0040] The line loss value is expressed as:

[0041]

[0042] Among them, P s It represents the line loss value, P represents the line active load, U represents the line voltage, φ represents the phase, and R represents the line resistance.

[0043] As a preferred solution of the power load management method based on dual carbon target multi-scenario service described in the present invention, wherein:

[0044] The step of determining a load regulation object according to the voltage loss value, the line loss value and the branch load data comprises the following steps:

[0045] When the voltage loss value is greater than or equal to a preset voltage loss threshold, obtaining a conductor performance parameter of the target power system;

[0046] When the line loss value is greater than or equal to a preset line loss threshold, obtaining conductor performance parameters of the target power system;

[0047] Determining a conductor load regulation object according to the conductor performance parameter;

[0048] Determine the electricity demand and weight of each electricity user in residential electricity scenario services, commercial electricity scenario services, and industrial electricity scenario services;

[0049] Determine peak and valley periods of electricity consumption according to the electricity demand;

[0050] Determine a load control object and an energy storage load control object during a power consumption period according to the power consumption peak period, the power consumption valley period and the power consumption weight;

[0051] A load control object is obtained according to the conductor load control object, the power consumption period load control object and the energy storage load control object.

[0052] As a preferred solution of the power load management method based on dual carbon target multi-scenario service described in the present invention, wherein:

[0053] The managing the power load of the target power system according to the load regulation object and the structure optimization object comprises the following steps:

[0054] When receiving the load management confirmation information, preprocessing the load regulation object and the structure optimization object respectively;

[0055] Determine power supply reliability constraints, security load constraints, new peak constraints and electricity price range constraints through processed load regulation objects and structure optimization objects;

[0056] The power load of the target power system is managed according to the power supply reliability constraint, the security load constraint, the new peak constraint and the electricity price range constraint.

[0057] As a preferred solution of the power load management method based on dual carbon target multi-scenario service described in the present invention, wherein:

[0058] After managing the power load of the target power system according to the load regulation object and the structure optimization object, the method further includes:

[0059] Monitor the evaluation information of each user terminal on the managed target power system;

[0060] determining target satisfaction based on the evaluation information;

[0061] When the target satisfaction meets the preset evaluation requirements, determine the carbon emissions and carbon neutrality of the target power system after management;

[0062] When the carbon emissions and carbon neutrality of the target power system after management meet the preset requirements, the positive control of the target power system is completed.

[0063] In a second aspect, the present invention provides a power load management system based on dual-carbon target multi-scenario services, including:

[0064] A simulation module, used to construct a load finite element analysis model according to historical structural data and historical operating data of the target power system, and to perform simulation experiments based on the load finite element analysis model;

[0065] A load data determination module is used to determine the current load data of the target power system according to the current simulation experiment results;

[0066] An object determination module, used to determine a load regulation object and a structure optimization object according to the dual-carbon goals of the target power system, multi-scenario service information and the current load data;

[0067] A management module is used to manage the power load of the target power system according to the load regulation object and the structure optimization object.

[0068] In a third aspect, the present invention provides a computing device, comprising:

[0069] Memory, used to store programs;

[0070] A processor is used to execute the computer-executable instructions, which, when executed by the processor, implement the steps of the power load management method based on dual-carbon target multi-scenario services.

[0071] In a fourth aspect, the present invention provides a computer-readable storage medium, comprising: when the program is executed by a processor, the steps of implementing the power load management method based on dual-carbon target multi-scenario services are implemented.

[0072] Beneficial effects of the present invention: The present invention uses a load finite element analysis model constructed using historical structural data and historical operating data to conduct simulation experiments, and then uses load control objects and structural optimization objects to manage power loads, thereby effectively improving the accuracy of load management and further improving energy utilization. BRIEF DESCRIPTION OF THE DRAWINGS

[0073] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing 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 labor. Among them:

[0074] Figure 1 A basic flow chart of a power load management method based on dual-carbon target multi-scenario services provided by an embodiment of the present invention;

[0075] Figure 2 A specific flow chart of S3 of a power load management method based on dual-carbon target multi-scenario services provided by an embodiment of the present invention;

[0076] Figure 3 A structural schematic diagram of a power load management method based on dual-carbon target multi-scenario services provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0077] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in the art without creative work should fall within the scope of protection of the present invention.

[0078] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0079] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The term "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive with other embodiments.

[0080] The present invention is described in detail with reference to schematic diagrams. When describing the embodiments of the present invention, for the sake of convenience, the cross-sectional diagrams showing the device structure will not be partially enlarged according to the general scale, and the schematic diagrams are only examples, which should not limit the scope of protection of the present invention. In addition, in actual production, the three-dimensional dimensions of length, width and depth should be included.

[0081] At the same time, in the description of the present invention, it should be noted that the directions or positional relationships indicated by the terms "upper, lower, inner and outer" are based on the directions or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific direction, be constructed and operated in a specific direction, and therefore cannot be understood as limiting the present invention. In addition, the terms "first, second or third" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance.

[0082] In the present invention, unless otherwise clearly specified and limited, the terms "install, connect, connect" should be understood in a broad sense, for example: it can be a fixed connection, a detachable connection or an integral connection; it can also be a mechanical connection, an electrical connection or a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0083] Example 1

[0084] Reference Figure 1-3 , is an embodiment of the present invention, and provides a power load management method based on dual-carbon target multi-scenario services, such as Figure 1 As shown, the following steps are included:

[0085] S1: According to the historical structural data and historical operating data of the target power system, a load finite element analysis model is constructed, and simulation experiments are carried out based on the load finite element analysis model;

[0086] It should be noted that the executor of this embodiment is an electric power load management device based on dual-carbon target multi-scenario services. It can also be other devices that can achieve the same or similar functions, such as a load management controller, etc. This embodiment does not limit this. In this embodiment, the load management controller is taken as an example for explanation.

[0087] It should be understood that the target power system refers to a system that converts natural disposable energy into electrical energy and transmits electricity. The target power system can be composed of power generation, transmission and distribution, and the equipment used in different links is different. For example, the equipment used in the power generation link includes generator sets, transformers and inverters, and the equipment used in the distribution link includes switchgear, distribution transformers, distribution cabinets and control and protection equipment. The historical structure data includes but is not limited to power generation system data, transmission system data, substation system data and distribution system data, among which the power generation system data includes but is not limited to power plant type, generator set information and power generation data, the transmission system data includes but is not limited to transmission line data, substation data and transmission loss data, the substation system data includes but is not limited to transformer data, substation data, and the distribution system data includes but is not limited to distribution line data, distribution transformer data and distribution load data.

[0088] In an embodiment of the present application, historical operation data refers to data when the target power system was operating at a historical moment. The collection period of the historical operation data may be one year. After determining the historical structural data of the target power system, a load finite element analysis model is constructed in combination with the historical operation data, and a simulation experiment is performed based on the load finite element analysis model.

[0089] In an embodiment of the present application, the structure of the target power system is gridded from the dimensions of power generation, transmission and distribution according to historical structural data to obtain a multi-dimensional grid; the analysis object of the target power system is determined; the load data of the target power system when it is operating with various historical operating data is obtained; a load finite element analysis model is constructed according to the multi-dimensional grid, the analysis object and the load data; the current operating scenario of the target power system is determined, and the simulation application data is determined according to the current operating scenario; and a simulation experiment is performed according to the simulation application data based on the load finite element analysis model.

[0090] It can be understood that after grid division from the dimensions of power generation, transmission and distribution according to historical structural data, the entire target power system is divided into power generation grid, transmission grid and distribution grid. The analysis object refers to the object for target power load analysis based on the load control object and the structural optimization object. After determining the analysis object of the target power system, a load finite element analysis model is constructed by combining the multi-dimensional grid and load data. The simulation application data refers to the data applied for the simulation experiment, for example, adding electrical equipment and adjusting the power of electrical equipment. After determining the simulation application data, the load finite element analysis model is used to carry out simulation experiments.

[0091] S2: Determine the current load data of the target power system according to the current simulation experiment results;

[0092] It can be understood that the current load data refers to the load value of the target power system at the current moment. The larger the load value, the higher the load borne by the target power system. The current load data can be determined by simulating the current scenario through a load finite element analysis model.

[0093] S3: Determine the load regulation object and structure optimization object based on the dual carbon goals, multi-scenario service information and current load data of the target power system;

[0094] In the embodiment of the present application, step S3, as Figure 2 As shown, the following steps are included:

[0095] S31: Obtain characteristic information of the target power system, and determine the dual carbon targets of the target power system based on the characteristic information, where the dual carbon targets include a carbon peak target and a carbon neutrality target.

[0096] It should be understood that the dual carbon targets set for power systems with different characteristics are different. Therefore, after obtaining the characteristic information of the target power system, the dual carbon targets of the target power system are further determined. Among them, the carbon peak target refers to the moment when carbon dioxide emissions have reached a peak and no longer grow, and then gradually decline. The carbon neutrality target refers to the neutralization target of offsetting the carbon dioxide emissions generated.

[0097] S32: Determine the service area of ​​the target power system, and obtain the power usage characteristics, land usage characteristics and load fluctuation data of the service area.

[0098] It can be understood that the service area refers to the area where the target power system serves different electricity users. The service area includes but is not limited to residential areas, industrial areas, and commercial areas. The electricity consumption nature, land use nature, and load fluctuation data of different areas are different. For example, the residential electricity consumption time is relatively short, the voltage and power are small, and the load fluctuation is relatively stable; the industrial electricity voltage and power are high and the load fluctuation is relatively stable; the commercial electricity load fluctuation is large.

[0099] S33: Determine multi-scenario service information according to the nature of electricity consumption, the nature of land use and load fluctuation data, wherein the multi-scenario service information includes residential electricity consumption scenario service, commercial electricity consumption scenario service and industrial electricity consumption scenario service.

[0100] It should be understood that after obtaining the electricity consumption characteristics, land use characteristics and load fluctuation data of the service area, regional division is carried out based on the electricity consumption characteristics, land use characteristics and load fluctuation data, and different areas correspond to different scene services. For example, residential areas correspond to residential electricity consumption scene services, commercial areas correspond to commercial electricity consumption scene services, and industrial areas correspond to industrial electricity consumption scene services.

[0101] S34: Predict the carbon emissions of the target power system based on the current load data.

[0102] It can be understood that after determining the current load data, the electric energy generation of the target power system is determined based on the current load data, and then the electric energy generation is input into the carbon emission prediction model, and the carbon emission prediction model outputs the carbon emissions of the target power system.

[0103] S35: Determine the carbon neutrality of the target power system within a preset time period.

[0104] It should be understood that after waiting for a preset period of time, the remaining content of carbon dioxide is detected again, and then the carbon neutrality of the target power system within the preset period of time is comprehensively calculated in combination with the predicted carbon emissions of the target power system.

[0105] S36: Determine the objects of structural optimization based on carbon emissions, carbon neutrality, carbon peak target and carbon neutrality target.

[0106] It can be understood that after obtaining the carbon neutrality amount of the target power system within a preset time period, the carbon emissions are compared with the carbon peak target, and the carbon neutrality is compared with the carbon neutrality target. If the comparison result is that the carbon emissions are greater than the carbon peak target and / or the carbon neutrality is less than the carbon neutrality target, it indicates that the structure of the target power system can be optimized. At this time, the structural optimization object is determined, such as replacing disposable energy, adding power generation modules, optimizing line paths, replacing conductors, etc.

[0107] S37: Determine branch load data under residential electricity usage scenario service, commercial electricity usage scenario service and industrial electricity usage scenario service according to current load data.

[0108] It should be understood that the current load data refers to the total load data of the target power system. In order to effectively improve the accuracy of power load management, load segmentation is performed according to multi-scenario service information, that is, the number of branch loads under residential power scenario services, commercial power scenario services, and industrial power scenario services is determined.

[0109] S38: Determine the load control object according to the branch load data.

[0110] In an embodiment of the present application, S38 includes: if it is determined that the electrical equipment in the residential electricity usage scenario service, commercial electricity usage scenario service, and industrial electricity usage scenario service has inductive characteristics, then judging whether to use capacitors for line compensation; when it is determined to use capacitors for line compensation, obtaining the capacitive reactance of the capacitor; calculating the voltage loss value based on the capacitive reactance, line load data, and line electrical parameters; calculating the line loss value based on the phase, line load data, and line parameters; determining the load control object based on the voltage loss value, line loss value, and branch load data.

[0111] In the embodiment of the present application, for the electrical equipment, it is necessary to determine whether there is an inductance characteristic. If there is no inductance characteristic, there is no situation of absorbing useful power and useless power from the power grid. When it is determined that there is an inductance characteristic, it is necessary to further determine whether to use a capacitor for line compensation. If so, the voltage loss value is calculated, specifically:

[0112]

[0113] Among them, U s Indicates the voltage loss value, P indicates the line active load, Q indicates the line reactive load, R indicates the line resistance, X indicates the line reactance, U indicates the line voltage, X indicates the line c It represents the capacitive reactance of capacitor;

[0114] In the embodiment of the present application, when calculating the voltage loss value, it is also necessary to calculate the line loss value in combination with the phase, specifically:

[0115]

[0116] Among them, P s It represents the line loss value, P represents the line active load, U represents the line voltage, φ represents the phase, and R represents the line resistance.

[0117] In an embodiment of the present application, a load control object is determined based on a voltage loss value, a line loss value, and branch load data, including: when the voltage loss value is greater than or equal to a preset voltage loss threshold and / or the line loss value is greater than or equal to a preset line loss threshold, obtaining conductor performance parameters of the target power system; determining a conductor load control object based on the conductor performance parameters; determining the power demand and power weight of each power user under residential power consumption scenario services, commercial power consumption scenario services, and industrial power consumption scenario services; determining a peak power consumption period and a trough power consumption period based on the power demand; determining a power consumption period load control object and an energy storage load control object based on the power consumption peak period, the power consumption trough period, and the power consumption weight; and obtaining a load control object based on the conductor load control object, the power consumption period load control object, and the energy storage load control object.

[0118] It should be understood that after calculating the voltage loss value and the line loss value respectively, it is necessary to determine whether the conditions that the voltage loss value is greater than or equal to the preset voltage loss threshold and the line loss value is greater than or equal to the preset line loss threshold are met. If so, the conductor load control object is determined according to the conductor performance parameters of the target power system, for example, replacing a conductor with better performance, and determining the power consumption period load control object and the energy storage load control object according to the peak period, trough period and power consumption weight of each power user under the residential power consumption scenario service, commercial power consumption scenario service and industrial power consumption scenario service. For example, subsidies or tax incentives are given to users who implement energy-saving measures, electricity price discounts are provided to users who reduce power consumption during peak hours, and energy storage equipment is used to release energy during peak load hours. The determined conductor load control object, power consumption period load control object and energy storage load control object all belong to load control objects of different dimensions, that is, the above-mentioned different dimensional load control objects and structural optimization objects are used to manage the power load of the target power system.

[0119] This embodiment obtains characteristic information of the target power system, and determines the dual carbon targets of the target power system according to the characteristic information, wherein the dual carbon targets include a carbon peak target and a carbon neutrality target; determines the service area of ​​the target power system, and obtains the electricity consumption nature, land use nature and load fluctuation data of the service area; determines multi-scenario service information according to the electricity consumption nature, land use nature and load fluctuation data, wherein the multi-scenario service information includes residential electricity scenario services, commercial electricity scenario services and industrial electricity scenario services; predicts the carbon emissions of the target power system according to current load data; determines the carbon neutrality of the target power system within a preset time period; determines the structural optimization object according to the carbon emissions, carbon neutrality, carbon peak target and carbon neutrality target; determines the branch load data under the residential electricity scenario services, commercial electricity scenario services and industrial electricity scenario services according to the current load data; determines the load regulation object according to the branch load data; in the above manner, the dual carbon targets of the target power system are used to determine the structural optimization object, and the multi-scenario service information is used to determine the branch load data, and then the load regulation object is determined according to the branch load data, thereby effectively improving the accuracy of determining the load regulation object and the structural optimization object.

[0120] It should be understood that the dual carbon targets set for power systems with different characteristics are different. The dual carbon targets include carbon peak targets and carbon neutrality targets. Multi-scenario service information refers to service information under multiple electricity usage scenarios, which include residential electricity usage scenario services, commercial electricity usage scenario services, and industrial electricity usage scenario services. Load regulation object refers to the object for power load management based on load, and structural optimization object refers to the object for power load management based on structure.

[0121] S4: Manage the power load of the target power system according to the load regulation object and the structure optimization object.

[0122] It can be understood that after the load regulation object and the structure optimization object are determined, the load regulation object is regulated and the structure optimization object is optimized to complete the management of the power load of the target power system.

[0123] In an embodiment of the present application, when load management confirmation information is received, the load control object and the structure optimization object are preprocessed respectively; the power supply reliability constraint, security load constraint, new peak constraint and electricity price range constraint are determined through the processed load control object and structure optimization object; the power load of the target power system is managed according to the power supply reliability constraint, security load constraint, new peak constraint and electricity price range constraint.

[0124] It should be understood that since load control will affect the user's electricity experience, before performing power load management, it is necessary to send load management prompt information to each user terminal, and after receiving the load management confirmation information, it indicates that the user has done a good job of preventing load changes. At this time, the load control object and the structure optimization object are pre-processed respectively. For example, for the load control object, the power consumption time period, voltage level, grid connection method, and generator output are regulated; for the structure optimization object, the power generation method, power equipment energy efficiency, line material, and transmission medium are optimized. After the processing is completed, the power supply reliability constraint, security load constraint, new peak constraint, and electricity price range constraint are determined based on the processing direction of the two dimensions. Among them, for the power supply reliability constraint, in order to ensure the power supply reliability, it is generally necessary to reserve 2% of the standby load, so that the maximum total power of the user does not exceed 98% of the maximum power supply load. For the security load constraint, the security load is set to the lower limit of the peak shaving. For the new peak constraint, the low load period cannot be higher than the average load period. For the electricity price constraint, the peak-to-valley electricity price ratio error is controlled within 10% of the average electricity price ratio.

[0125] In an embodiment of the present application, it also includes: monitoring the evaluation information of each user terminal on the target power system after management; determining the target satisfaction based on the evaluation information; when the target satisfaction meets the preset evaluation requirements, determining the carbon emissions and carbon neutrality of the target power system after management; when the carbon emissions and carbon neutrality of the target power system after management meet the preset requirements, completing the positive control of the target power system.

[0126] It can be understood that the evaluation information refers to the information evaluated by each user terminal on the target power system after management. The evaluation information is divided into multiple levels, for example, poor, qualified, good and excellent. After using the evaluation information to determine the target satisfaction, it is judged whether the target satisfaction meets the preset evaluation requirements. If so, it is further judged whether the carbon emissions and carbon neutrality of the target power system after management meet the preset requirements. The preset requirements can be dual carbon targets. If so, the purpose of saving energy and ensuring the stable operation of the target power system is achieved.

[0127] This embodiment also provides a power load management system based on dual carbon target multi-scenario services, including:

[0128] The simulation module is used to construct a load finite element analysis model according to the historical structural data and historical operation data of the target power system, and to conduct simulation experiments based on the load finite element analysis model.

[0129] The load data determination module is used to determine the current load data of the target power system according to the current experimental results.

[0130] The object determination module is used to determine the load regulation objects and structure optimization objects based on the dual carbon goals of the target power system, multi-scenario service information and current load data.

[0131] The management module is used to manage the power load of the target power system according to the load regulation object and the structure optimization object.

[0132] Furthermore, it also includes:

[0133] Memory, used to store programs;

[0134] A processor is used to load the program to execute the power load management method based on dual-carbon target multi-scenario services.

[0135] Furthermore, it also includes:

[0136] like Figure 3As shown, the power load management device based on dual carbon target multi-scenario service may include: a processor 1001, such as a central processing unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Among them, the communication bus 1002 is used to realize the connection and communication between these components. The user interface 1003 may include a display screen (Display), an input unit such as a keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface and a wireless interface. The network interface 1004 may optionally include a standard wired interface and a wireless interface (such as a wireless fidelity (Wireless-Fidelity, Wi-Fi) interface). The memory 1005 may be a high-speed random access memory (Random Access Memory, RAM) or a stable non-volatile memory (Non-Volatile Memory, NVM), such as a disk storage. The memory 1005 may also be a storage device independent of the aforementioned processor 1001.

[0137] The memory 1005 as a storage medium may include an operating system, a network communication module, a user interface module, and an electric load management program based on dual-carbon target multi-scenario services.

[0138] exist Figure 3 In the power load management device based on dual carbon target multi-scenario services shown, the network interface 1004 is mainly used for data communication with the network integration platform workstation; the user interface 1003 is mainly used for data interaction with the user; the processor 1001 and the memory 1005 in the power load management device based on dual carbon target multi-scenario services of the present invention can be set in the power load management device based on dual carbon target multi-scenario services, and the power load management device based on dual carbon target multi-scenario services calls the power load management program based on dual carbon target multi-scenario services stored in the memory 1005 through the processor 1001, and executes the power load management method based on dual carbon target multi-scenario services provided in an embodiment of the present invention.

[0139] This embodiment also provides a computer-readable storage medium storing a program, which, when executed by a processor, implements the power load management method based on dual-carbon target multi-scenario services.

[0140] The storage medium proposed in this embodiment and the power load management method based on dual carbon target multi-scenario services proposed in the above embodiment belong to the same inventive concept. The technical details not described in detail in this embodiment can be referred to the above embodiment, and this embodiment has the same beneficial effects as the above embodiment.

[0141] Through the above description of the implementation methods, the technicians in the relevant field can clearly understand that the present invention can be implemented by means of software and necessary general hardware, and of course can also be implemented by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as a computer floppy disk, read-only memory (ReadOnly, Memory, ROM), random access memory (RandomAccess Memory, RAM), flash memory (FLASH), hard disk or optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, server, or network device, etc.) to perform the methods of various embodiments of the present invention.

[0142] Example 2

[0143] Referring to Table 1, an embodiment of the present invention provides an electric load management method based on dual-carbon target multi-scenario services. In order to verify its beneficial effects, comparison results of two schemes are provided.

[0144] Table 1 Comparison table

[0145] Comparison indicators Existing methods This method Load forecast accuracy ±5％ ±2％ Energy waste rate 12％ 6％ Dual carbon target achievement rate 85％ 95％ Operating cost savings No significant changes 15％ Improved system stability No significant improvement 30% improvement Control response speed Average 30 minutes Average 10 minutes Data processing capabilities Processing historical data Real-time data analysis and prediction Load management range Local area Full network coverage Degree of intelligence Manual adjustment is the main Automatic intelligent adjustment

[0146] As can be seen from Table 1, our invention has taken more detailed considerations in terms of data processing and load management scope. A load finite element analysis model is constructed according to the historical structural data and historical operation data of the target power system, and simulation experiments are carried out based on the load finite element analysis model; the current load data of the target power system is determined according to the current experimental results; the load control object and the structural optimization object are determined according to the dual-carbon goals, multi-scenario service information and current load data of the target power system; the power load of the target power system is managed according to the load control object and the structural optimization object; in the above manner, simulation experiments are carried out using the load finite element analysis model constructed using historical structural data and historical operation data, and then the load control object and the structural optimization object are used to manage the power load, thereby effectively improving the accuracy of load management and thereby improving energy utilization.

[0147] 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 preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A power load management method based on dual carbon target multi-scenario services, characterized in that: include: Constructing a load finite element analysis model according to historical structural data and historical operating data of the target power system, and performing simulation experiments based on the load finite element analysis model; According to the current simulation experiment results, determine the current load data of the target power system; Determine the load regulation object and the structure optimization object according to the dual carbon goals of the target power system, the multi-scenario service information and the current load data; The power load of the target power system is managed according to the load regulation object and the structure optimization object.

2. The power load management method based on dual carbon target multi-scenario service as claimed in claim 1 is characterized by: The method of constructing a load finite element analysis model according to the historical structural data and historical operation data of the target power system and performing a simulation experiment based on the load finite element analysis model comprises the following steps: Gridding the structure of the target power system from the dimensions of power generation, power transmission and power distribution according to the historical structure data to obtain a multi-dimensional grid; Determining an analysis object for the target power system; Acquire load data of the target power system when it operates with various historical operation data; Constructing a load finite element analysis model according to the multi-dimensional grid, the analysis object and the load data; Determining a current operating scenario of the target power system, and determining simulation application data according to the current operating scenario; A simulation experiment is performed based on the load finite element analysis model according to the simulation application data.

3. The power load management method based on dual carbon target multi-scenario service as claimed in claim 1 or 2, characterized in that: Determining the load regulation object and the structure optimization object according to the dual-carbon goals of the target power system, the multi-scenario service information and the current load data includes the following steps: Acquire characteristic information of a target power system, and determine a dual-carbon target of the target power system according to the characteristic information, wherein the dual-carbon target includes a carbon peak target and a carbon neutrality target; Determine the service area of ​​the target power system, and obtain the power consumption characteristics, land use characteristics and load fluctuation data of the service area; Determine multi-scenario service information according to the nature of electricity use, the nature of land use, and the load fluctuation data, wherein the multi-scenario service information includes residential electricity use scenario services, commercial electricity use scenario services, and industrial electricity use scenario services; Predicting the carbon emissions of the target power system according to the current load data; Determining the carbon neutrality of the target power system within a preset time period; Determine the structural optimization object according to the carbon emissions, the carbon neutrality, the carbon peak target and the carbon neutrality target; Determine branch load data under the residential electricity usage scenario service, the commercial electricity usage scenario service, and the industrial electricity usage scenario service according to the current load data; A load regulation object is determined according to the branch load data.

4. The power load management method based on dual carbon target multi-scenario service as claimed in claim 3 is characterized by: Determining the load regulation object according to the branch load data comprises the following steps: If it is determined that the electrical equipment in the residential electricity usage scenario service, commercial electricity usage scenario service, and industrial electricity usage scenario service has inductive characteristics, determine whether to use capacitors for line compensation; When it is determined to use a capacitor for line compensation, obtaining the capacitive reactance of the capacitor; Calculating the voltage loss value according to the capacitive reactance, line load data and line electrical parameters; Calculate line loss value based on phase, line load data and line parameters; Determining a load regulation object according to the voltage loss value, the line loss value and the branch load data; The voltage loss value is expressed as: Among them, U s Indicates the voltage loss value, P indicates the line active load, Q indicates the line reactive load, R indicates the line resistance, X indicates the line reactance, U indicates the line voltage, X indicates the line c It represents the capacitive reactance of capacitor; The line loss value is expressed as: Among them, P s It represents the line loss value, P represents the line active load, U represents the line voltage, φ represents the phase, and R represents the line resistance.

5. The power load management method based on dual carbon target multi-scenario service as claimed in claim 4 is characterized by: The step of determining a load regulation object according to the voltage loss value, the line loss value and the branch load data comprises the following steps: When the voltage loss value is greater than or equal to a preset voltage loss threshold, obtaining a conductor performance parameter of the target power system; When the line loss value is greater than or equal to a preset line loss threshold, obtaining conductor performance parameters of the target power system; Determining a conductor load regulation object according to the conductor performance parameter; Determine the electricity demand and electricity weight of each electricity user in residential electricity scenario services, commercial electricity scenario services, and industrial electricity scenario services; Determine peak and valley periods of electricity consumption according to the electricity demand; Determine a load control object and an energy storage load control object during a power consumption period according to the power consumption peak period, the power consumption valley period and the power consumption weight; A load control object is obtained according to the conductor load control object, the power consumption period load control object and the energy storage load control object.

6. The power load management method based on dual carbon target multi-scenario service as claimed in claim 5 is characterized by: The managing the power load of the target power system according to the load regulation object and the structure optimization object comprises the following steps: When receiving the load management confirmation information, preprocessing the load regulation object and the structure optimization object respectively; Determine power supply reliability constraints, security load constraints, new peak constraints and electricity price range constraints through processed load regulation objects and structure optimization objects; The power load of the target power system is managed according to the power supply reliability constraint, the security load constraint, the new peak constraint and the electricity price range constraint.

7. The power load management method based on dual carbon target multi-scenario service as claimed in claim 6 is characterized by: After managing the power load of the target power system according to the load regulation object and the structure optimization object, the method further includes: Monitor the evaluation information of each user terminal on the managed target power system; determining target satisfaction based on the evaluation information; When the target satisfaction meets the preset evaluation requirements, determine the carbon emissions and carbon neutrality of the target power system after management; When the carbon emissions and carbon neutrality of the target power system after management meet the preset requirements, the positive control of the target power system is completed.

8. A system for the power load management method based on dual carbon target multi-scenario services according to any one of claims 1 to 7, characterized in that: A simulation module, used to construct a load finite element analysis model according to historical structural data and historical operating data of the target power system, and to perform simulation experiments based on the load finite element analysis model; A load data determination module is used to determine the current load data of the target power system according to the current simulation experiment results; An object determination module, used to determine a load regulation object and a structure optimization object according to the dual-carbon goals of the target power system, multi-scenario service information and the current load data; A management module is used to manage the power load of the target power system according to the load regulation object and the structure optimization object.

9. An electronic device, characterized in that: include: Memory, used to store programs; A processor is used to load the program to execute the steps of the power load management method based on dual carbon target multi-scenario services as described in any one of claims 1-7.

10. A computer-readable storage medium storing a program, characterized in that: When the program is executed by the processor, the steps of the power load management method based on dual-carbon target multi-scenario services as described in any one of claims 1 to 7 are implemented.

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