Intelligent power grid adaptive load balance and demand response optimization control method and system

Abstract

The invention relates to the technical field of automation control, in particular to an intelligent power grid adaptive load balance and demand response optimization control method and system, and the method specifically comprises the steps: carrying out the branch transmission safety analysis based on a reduction evaluation result of the transmission stability of a transmission branch and a reduction evaluation result of a transmission equipment risk evaluation result; moreover, the transmission and distribution of the real-time load of the power grid are carried out according to the branch transmission safety analysis result, and the distribution of the load of the power grid is carried out according to the branch load transmission safety, thereby improving the transmission safety of the load of the power grid, and guaranteeing the transmission quality of the load of the power grid. The problems that in the prior art, the transmission safety of the power grid load is low, and the transmission quality of the power grid load is poor are solved.

Description

Technical Field

[0001] The present invention relates to the technical field of automatic control, and is an intelligent power grid adaptive load balancing and demand response optimization control method and system. Background Art

[0002] In the power grid system, the phenomenon of current transmission through multiple branches is determined by the parallel structure of the power grid and the distribution characteristics of the power flow. This phenomenon is not only an important feature in power grid design but also a key mechanism to ensure the reliability and economy of power grid operation. The following is an analysis of the specific reasons: The power grid usually adopts a parallel structure, and multiple branches (such as multiple transmission lines or feeders) are connected to the same node or area. The purpose of this structure is to: improve the reliability of power supply to ensure that other branches can still supply power normally when some branches fail; provide multiple-path power supply options to enhance the flexibility and dispatching ability of the power grid; share the load to avoid overloading of a single branch. In the prior art, when distributing the load transmitted by multiple branches, in order to reduce losses, the load is usually distributed according to the impedance of each branch. However, excessive load distribution will affect the safety of power grid load transmission, and it is impossible to perform branch transmission safety analysis based on the reduction evaluation results of the transmission stability of the transmission branch and the reduction evaluation results of the transmission equipment hazard assessment results, and perform the transmission distribution of the power grid real-time load according to the branch transmission safety analysis results. This leads to low safety of power grid load transmission and poor transmission quality of power grid load at the same time. Summary of the Invention

[0003] The purpose of this part is to outline some aspects of the embodiments of the present invention and briefly introduce some preferred embodiments. Some simplifications or omissions may be made in this part, as well as in the abstract and title of the present application, to avoid obscuring the purpose of this part, the abstract, and the title of the invention. However, such simplifications or omissions cannot be used to limit the scope of the present invention.

[0004] The technical problem to be solved by the present invention is that in the prior art, the present invention solves the problem that in the prior art, it is impossible to perform branch transmission safety analysis based on the transmission stability of the transmission branch and the transmission equipment hazard assessment results, and perform the transmission distribution of the power grid real-time load according to the branch transmission safety analysis results, which leads to low safety of power grid load transmission and poor transmission quality of power grid load at the same time, and proposes an intelligent power grid adaptive load balancing and demand response optimization control method and system.

[0005] In order to achieve the above object, the technical solution of the intelligent power grid adaptive load balancing and demand response optimization control method of the present invention includes the following steps:

[0006] S1: Obtain the transmission data of each transmission branch of the power grid, and at the same time obtain the change situation of the operation data of the power grid branch equipment, and at the same time obtain the power grid real-time load;

[0007] S2: Analyze transmission fluctuations and transmission stability using transmission data from each transmission branch of the power grid, and perform a restoration evaluation of transmission stability based on transmission fluctuations;

[0008] S3: Conduct transmission equipment risk assessment based on changes in operating data of power grid branch equipment during signal propagation, and perform a restoration assessment of the transmission equipment risk assessment results based on transmission fluctuations;

[0009] S4: Based on the restored evaluation results of the transmission stability of the transmission branch and the restored evaluation results of the transmission equipment hazard evaluation results, a branch transmission safety analysis is performed, and based on the branch transmission safety analysis results, a transmission allocation of the real-time load of the power grid is performed.

[0010] Specifically, the S1 includes the following specific steps:

[0011] S11: Acquire transmission data reflecting the quality of the electric signal, such as the current, voltage, and frequency of the electric signal transmitted by each transmission branch in the previous operation cycle during the operation of the power grid, and store the acquired data in a storage component;

[0012] S12: Acquire operating data of operating equipment of each transmission branch in the previous cycle during the operation of the power grid, wherein the operating data is divided into operating data of different equipment, and the operating data of different equipment may be different. The collected data is stored in a storage component;

[0013] S13: The real-time transmission load of the power grid and the transmission load of each branch of the power grid in the past are simultaneously acquired, and the acquired data are stored in a storage component.

[0014] Specifically, the transmission fluctuation analysis is as follows:

[0015] S21: Obtain the transmission load of each branch of the power grid in the previous power grid operation cycle, and perform branch load jitter anomaly analysis based on the load transmission difference between adjacent moments of the transmission load. The branch load jitter anomaly analysis formula is: Where T is the operating cycle duration, xt is the load at time t within the branch operating cycle, x(t-1) is the load at time t-1 within the branch operating cycle, and dt is the time integral constant. In this step, the load quality is analyzed by the jitter of the branch load over continuous time.

[0016] S22: Obtain the branch load jitter anomaly analysis results, the branch load average value in the previous cycle, and the branch load safety value. It should be noted that the branch load safety value here is the maximum safe load that the branch can transmit, and perform transmission fluctuation analysis. The transmission fluctuation analysis formula is: Where Ds is the branch load jitter anomaly analysis result, fh is the average branch load value in the previous cycle, and fhz is the branch load safety value.

[0017] Specifically, the restoration evaluation of transmission stability based on transmission fluctuation in S2 includes the following specific steps:

[0018] S23: Acquire transmission data reflecting the quality of the electric signal of each transmission branch in the previous operation cycle, including the current, voltage, and frequency. Analyze the stability of branch electric signal transmission using the transmission data reflecting the quality of the electric signal at the load, including the current, voltage, and frequency, and the transmission data reflecting the quality of the electric signal after transmission, including the current, voltage, and frequency of the standard electric signal. The stability analysis formula for branch electric signal transmission is:

[0019] Where m is the number of electrical signal quality data types, ai is the influence weight of the i-th electrical signal quality data type, and Wi is the sum of the deviations of the i-th electrical signal quality data type from the transmission start position during the operation cycle. In this way, the transmission stability during the transmission process is analyzed by the loss and change of the electrical signal transmission process. The greater the loss and change, the lower the transmission stability.

[0020] S24: Perform a transmission stability restoration evaluation based on the power transmission stability and transmission fluctuation analysis results. The transmission stability restoration evaluation formula is:

[0021] Wdc=Wd×Bd ， It should be noted that, since better transmission stability can be guaranteed in an environment with large transmission fluctuation analysis results, it means that the transmission performance is better. Therefore, the transmission performance is proportional to the transmission fluctuation analysis results and also proportional to the transmission stability. Therefore, a reduction evaluation formula for transmission stability can be fitted.

[0023] Specifically, in S3, the risk assessment of transmission equipment based on the changes in the operating data of the power grid branch equipment during the signal propagation process includes the following specific steps:

[0024] S31: Obtaining changes in operating data of the power grid branch equipment, and obtaining an abnormal operating value of the corresponding power grid branch equipment by weighted summing the differences between the operating data of the power grid branch equipment in the previous cycle and the standard value;

[0025] S32: Obtaining operation abnormality values of all devices in the power grid branch and damage impact area data of corresponding devices, performing weighted summation of the operation abnormality values of all devices in the power grid branch based on the ratio of the damage impact area data of the corresponding devices to the standard area to obtain a transmission equipment hazard assessment value of the power grid branch, wherein the calculation formula for the transmission equipment hazard assessment value of the power grid branch can be: Where Q is the number of devices in the power grid branch, Sc is the damage impact area of the cth device in the power grid branch, S is the standard area, and Pc is the abnormal operation value of the cth device in the power grid branch;

[0026] It should be noted that for a power grid branch, the importance of each device is different. For example, the core equipment transformer affects the power supply over a large area, while some capacitors and resistors only affect the power supply over a small area. Therefore, it is necessary to weight each device in the power grid branch according to its importance. The weighting method can be the affected area, equipment capacity, and other data types that reflect the impact of the equipment. In this formula, the risk of transmission equipment in the power grid branch is comprehensively considered through the abnormal operating values of the equipment and the damage impact area data of the corresponding equipment.

[0027] Specifically, the restoration evaluation of the transmission equipment risk assessment results based on transmission fluctuations in S3 includes the following specific steps:

[0028] S33: Obtaining the calculated transmission equipment risk assessment value and transmission fluctuation analysis result of the power grid branch;

[0029] S34: Performing a restoration evaluation on the transmission equipment risk assessment result based on the calculated transmission equipment risk assessment value of the power grid branch and the transmission fluctuation analysis result, wherein the restoration evaluation formula for the transmission equipment risk assessment result is:

[0030] It should be noted that, since a large transmission fluctuation analysis result can ensure a small transmission equipment risk assessment result, the lower the risk of the equipment, the equipment risk is inversely proportional to the transmission fluctuation analysis result. The above formula can be obtained by fitting the data.

[0031] Specifically, S4 includes the following specific steps:

[0032] S41: Obtaining the calculated transmission stability restoration assessment result and transmission equipment risk restoration assessment result, and obtaining a branch transmission safety analysis result by weighted summing the inverse of the transmission stability restoration assessment result and the transmission equipment risk restoration assessment result, that is, evaluating and analyzing the safety of the branch transmission load;

[0033] S42: Compare the branch transmission security analysis result with the set branch transmission security analysis threshold. If the branch transmission security analysis result is greater than or equal to the set branch transmission security analysis threshold, set the branch as a safe transmission branch. If the branch transmission security analysis result is less than the set branch transmission security analysis threshold, do not set the branch as a safe transmission branch.

[0034] S43. Obtain the sum of the security of all safety transmission branches, and distribute the transmission of real-time load according to the ratio of the security of the corresponding safety transmission branch to the sum of the security of all safety transmission branches, that is, the transmission distribution ratio of the real-time load of one of the safety transmission branches is the same as the ratio of the security of the corresponding safety transmission branch to the sum of the security of all safety transmission branches.

[0035] In addition, the smart grid adaptive load balancing and demand response optimization control system of the present invention includes the following modules:

[0036] Data acquisition module, transmission stability analysis module, transmission equipment hazard assessment module and load transmission distribution module;

[0037] The data acquisition module is used to acquire the transmission data of each transmission branch of the power grid, and at the same time acquire the operation data changes of the power grid branch equipment, and acquire the real-time load of the power grid;

[0038] The transmission stability analysis module analyzes transmission fluctuations and transmission stability based on the transmission data of each transmission branch of the power grid, and performs a restoration evaluation of transmission stability based on the transmission fluctuations;

[0039] The transmission equipment risk assessment module performs transmission equipment risk assessment based on the changes in the operating data of the power grid branch equipment during the signal propagation process, and performs a restoration assessment on the transmission equipment risk assessment results based on the transmission fluctuations;

[0040] The load transmission distribution module performs branch transmission safety analysis based on the restored evaluation results of the transmission stability of the transmission branch and the restored evaluation results of the transmission equipment risk evaluation results, and performs transmission distribution of the real-time load of the power grid based on the branch transmission safety analysis results.

[0041] A storage medium stores instructions, and when a computer reads the instructions, the computer executes the smart grid adaptive load balancing and demand response optimization control method.

[0042] An electronic device includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the method for optimizing the control of adaptive load balancing and demand response of a smart grid is implemented.

[0043] Compared with the prior art, the technical effects of the present invention are as follows:

[0044] Based on the restoration evaluation results of the transmission stability of the transmission branch and the restoration evaluation results of the transmission equipment hazard evaluation results, the branch transmission safety analysis is carried out, and according to the branch transmission safety analysis results, the transmission allocation of the power grid real-time load is carried out, and the power grid load is allocated according to the branch load transmission safety, which improves the safety of the power grid load transmission and ensures the transmission quality of the power grid load at the same time. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0046] Wherein:

[0047] Figure 1 is a schematic flow chart of the intelligent power grid adaptive load balancing and demand response optimization control method of the present invention;

[0048] Figure 2 is a schematic flow chart of the S2 step of the intelligent power grid adaptive load balancing and demand response optimization control method of the present invention;

[0049] Figure 3 is a schematic flow chart of the S3 step of the intelligent power grid adaptive load balancing and demand response optimization control method of the present invention;

[0050] Figure 4 is a schematic structural diagram of the intelligent power grid adaptive load balancing and demand response optimization control system of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0051] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and understandable, the specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings of the specification.

[0052] In the following description, many specific details are set forth in order to fully understand the present invention. However, the present invention can also be implemented in other ways different from those described herein. Those skilled in the art can make similar promotions without departing from the connotation of the present invention. Therefore, the present invention is not limited by the specific embodiments disclosed below.

[0053] Secondly, the so-called "one embodiment" or "embodiment" herein refers to a specific feature, structure or characteristic that can be included in at least one implementation manner of the present invention. The "in one embodiment" appearing in different places in this specification does not all refer to the same embodiment, nor is it a separate or alternative embodiment that excludes other embodiments.

[0054] Embodiment 1:

[0055] like Figures 1 to 3 As shown, the smart grid adaptive load balancing and demand response optimization control method of the embodiment of the present invention is as follows Figures 1 to 3 As shown, the specific steps are as follows:

[0056] S1: Acquire the transmission data of each transmission branch of the power grid, obtain the operating data changes of the power grid branch equipment, and obtain the real-time load of the power grid;

[0057] In this embodiment, S1 includes the following specific steps:

[0058] S11: Acquire transmission data reflecting the quality of the electric signal, such as the current, voltage, and frequency of the electric signal transmitted by each transmission branch in the previous operation cycle during the operation of the power grid, and store the acquired data in a storage component;

[0059] Exemplarily, the current is acquired by current sensors provided at the output position and the load position, and the current acquired by the current sensors is stored in a corresponding current information storage module;

[0060] S12: Acquire operating data of operating equipment of each transmission branch in the previous cycle during the operation of the power grid, wherein the operating data is divided into operating data of different equipment, and the operating data of different equipment may be different. For example, for transformer: load rate: the load percentage of the transformer; winding current: the magnitude of the current of each winding; iron loss and copper loss: the power loss of the transformer; transmission line: line current: the current on the transmission line; line loss: the power loss on the transmission line; resistance-admittance-reactance: the basic electrical parameters of the transmission line; electromagnetic field strength: the electromagnetic field parameters near the transmission line. The collected data is stored in the storage component;

[0061] S13: simultaneously acquiring the real-time transmission load of the power grid and the transmission load of each branch of the power grid in the past, and storing the acquired data in a storage component;

[0062] S2: Analyze transmission fluctuations and transmission stability using transmission data from each transmission branch of the power grid, and perform a restoration evaluation of transmission stability based on transmission fluctuations;

[0063] In this embodiment, the transmission fluctuation analysis is specifically as follows:

[0064] S21: Obtain the transmission load of each branch of the power grid in the previous power grid operation cycle, and perform branch load jitter anomaly analysis based on the load transmission difference between adjacent moments of the transmission load. The branch load jitter anomaly analysis formula is: Where T is the operating cycle duration, xt is the load at time t within the branch operating cycle, x(t-1) is the load at time t-1 within the branch operating cycle, and dt is the time integral constant. In this step, the load quality is analyzed by the jitter of the branch load over continuous time.

[0065] S22: Obtain the branch load jitter anomaly analysis results, the branch load average value in the previous cycle, and the branch load safety value. It should be noted that the branch load safety value here is the maximum safe load that the branch can transmit, and perform transmission fluctuation analysis. The transmission fluctuation analysis formula is: Where Ds is the branch load jitter anomaly analysis result, fh is the average branch load value in the previous cycle, and fhz is the branch load safety value.

[0066] In this embodiment, the restoration evaluation of transmission stability based on transmission fluctuation in S2 includes the following specific steps:

[0067] S23: Acquire transmission data reflecting the quality of the electric signal of each transmission branch in the previous operation cycle, including the current, voltage, and frequency. Analyze the stability of branch electric signal transmission using the transmission data reflecting the quality of the electric signal at the load, including the current, voltage, and frequency, and the transmission data reflecting the quality of the electric signal after transmission, including the current, voltage, and frequency of the standard electric signal. The stability analysis formula for branch electric signal transmission is: Where m is the number of electrical signal quality data types, ai is the influence weight of the i-th electrical signal quality data type, and Wi is the sum of the deviations of the i-th electrical signal quality data type from the transmission start position during the operation cycle. In this way, the transmission stability during the transmission process is analyzed by the loss and change of the electrical signal transmission process. The greater the loss and change, the lower the transmission stability.

[0068] S24: Perform a restoration evaluation of transmission stability based on the power transmission stability and transmission fluctuation analysis results. An example of a restoration evaluation formula for transmission stability is:

[0069] Wdc=Wd×Bd ， It should be noted that, since better transmission stability can be guaranteed in an environment with large transmission fluctuation analysis results, it means that the transmission performance is better. Therefore, the transmission performance is proportional to the transmission fluctuation analysis results and also proportional to the transmission stability. Therefore, a reduction evaluation formula for transmission stability can be fitted.

[0071] S3: Conduct transmission equipment risk assessment based on changes in operating data of power grid branch equipment during signal propagation, and perform a restoration assessment of the transmission equipment risk assessment results based on transmission fluctuations;

[0072] In this embodiment, the transmission equipment hazard assessment through the change of the operation data of the grid branch equipment during the signal propagation process in S3 includes the following specific steps:

[0073] S31: Obtain the change of the operation data of the grid branch equipment, and obtain the operation abnormality value of the corresponding grid branch equipment by weighted summing the difference between the operation data of the grid branch equipment in the previous cycle and the standard value;

[0074] S32: Obtain the operation abnormality values of all the equipment on the grid branch and the data of the damage influence area of the corresponding equipment, and weighted sum the operation abnormality values of all the equipment on the grid branch based on the ratio of the damage influence area data of the corresponding equipment to the standard area to obtain the transmission equipment hazard assessment value of the grid branch. An example of the calculation formula for the transmission equipment hazard assessment value of the grid branch is: where Q is the number of equipment on the grid branch, Sc is the damage influence area of the c-th equipment on the grid branch, S is the standard area, and Pc is the operation abnormality value of the c-th equipment on the grid branch;

[0075] In this embodiment, for the grid branch, the importance of its various equipment is also different. For example, the core equipment transformer affects a large area of power supply, while some capacitors and resistors only affect the power supply in a small area. Therefore, it is necessary to weight the various equipment on the grid branch with different importance. The weighting method can be data types such as the influence area and equipment capacity that reflect the equipment influence. In this formula, the transmission equipment hazard of the grid branch is comprehensively considered through the operation abnormality value of the equipment and the data of the damage influence area of the corresponding equipment.

[0076] Specifically, the reduction assessment of the transmission equipment hazard assessment result based on the transmission fluctuation in S3 includes the following specific steps:

[0077] S33: Obtain the calculated transmission equipment hazard assessment value of the grid branch and the transmission fluctuation analysis result;

[0078] S34: Based on the calculated transmission equipment hazard assessment value of the grid branch and the transmission fluctuation analysis result, perform a reduction assessment on the transmission equipment hazard assessment result. Among them, the formula for the reduction assessment of the transmission equipment hazard assessment result is:

[0079] It should be noted that since the transmission equipment hazard assessment result can be guaranteed to be small in an environment with a large transmission fluctuation analysis result, indicating that the equipment hazard is lower, the equipment hazard is inversely proportional to the transmission fluctuation analysis result. The above formula can be obtained through data fitting;

[0080] S4: Based on the restoration evaluation result of the transmission stability of the transmission branch and the restoration evaluation result of the transmission equipment risk assessment result, conduct branch transmission safety analysis, and based on the branch transmission safety analysis result, conduct the transmission allocation of the real-time grid load;

[0081] It should be specifically noted that the value-taking method of the set parameters in this embodiment is as follows: Obtain the transmission data of each transmission branch of the power grid obtained historically, and at the same time obtain the change situation of the operation data of the grid branch equipment and the historical load distribution result, substitute them into the corresponding steps of this embodiment to obtain the load distribution result of each branch, and at the same time obtain the corresponding data (the smallest abnormal change) that is the safest after the historical load distribution result of the distribution runs, and substitute the load distribution result in this embodiment into the fitting software for fitting, and output the value-taking of the set parameters that meets the accuracy rate of the historical safest corresponding data.

[0082] In this embodiment, S4 includes the following specific steps:

[0083] S41: Obtain the restoration evaluation result of the calculated transmission stability and the restoration evaluation result of the transmission equipment risk, and obtain the branch transmission safety analysis result through the weighted sum of the restoration evaluation result of the transmission stability and the reciprocal of the restoration evaluation result of the transmission equipment risk, that is, evaluate and analyze the safety of the branch transmission load;

[0084] S42: Compare the branch transmission safety analysis result with the set branch transmission safety analysis threshold. If the branch transmission safety analysis result is greater than or equal to the set branch transmission safety analysis threshold, set the branch as a safe transmission branch. If the branch transmission safety analysis result is less than the set branch transmission safety analysis threshold, do not set the branch as a safe transmission branch;

[0085] S43. Obtain the sum of the safety of all safe transmission branches, and conduct the transmission allocation of the real-time load according to the proportion of the safety of the corresponding safe transmission branch in the sum of the safety of all safe transmission branches, that is, the transmission allocation proportion of the real-time load of one safe transmission branch is the same as the proportion of the safety of the corresponding safe transmission branch in the sum of the safety of all safe transmission branches.

[0086] Embodiment 2:

[0087] As Figure 4 shown, the intelligent power grid adaptive load balancing and demand response optimization control system of the embodiment of the present invention, as Figure 4 shown, includes the following modules:

[0088] Data acquisition module, transmission stability analysis module, transmission equipment risk assessment module, and load transmission allocation module;

[0089] The data acquisition module is used to obtain the transmission data of each transmission branch of the power grid, and at the same time obtain the operating data changes of the power grid branch equipment, and obtain the real-time load of the power grid;

[0090] The transmission stability analysis module analyzes transmission fluctuations and transmission stability through the transmission data of each transmission branch of the power grid, and performs a restoration evaluation of transmission stability based on transmission fluctuations;

[0091] The transmission equipment risk assessment module assesses the risk of transmission equipment based on the changes in the operating data of the power grid branch equipment during signal propagation, and restores the assessment results based on transmission fluctuations.

[0092] The load transmission distribution module performs branch transmission safety analysis based on the restored evaluation results of the transmission stability of the transmission branch and the restored evaluation results of the transmission equipment hazard evaluation results, and performs transmission distribution of the real-time load of the power grid based on the branch transmission safety analysis results.

[0093] Embodiment three:

[0094] This embodiment provides an electronic device, comprising: a processor and a memory, wherein the memory stores a computer program that can be called by the processor;

[0095] The processor executes the above-mentioned smart grid adaptive load balancing and demand response optimization control method by calling the computer program stored in the memory.

[0096] The electronic device may have relatively large differences due to different configurations or performances, and may include one or more processors (Central Processing Units, CPU) and one or more memories, wherein the memory stores at least one computer program, which is loaded and executed by the processor to implement the smart grid adaptive load balancing and demand response optimization control method provided by the above method embodiment. The electronic device may also include other components for implementing the functions of the device. For example, the electronic device may also have components such as a wired or wireless network interface and an input / output interface for data input and output. This embodiment will not be described in detail here.

[0097] Embodiment 4:

[0098] This embodiment provides a computer-readable storage medium having a rewritable computer program stored thereon;

[0099] When the computer program runs on a computer device, the computer device is caused to execute the above-mentioned smart grid adaptive load balancing and demand response optimization control method.

[0100] For example, a computer-readable storage medium can be a read-only memory (ROM), a random access memory (RAM), a compact disc read-only memory (CD-ROM), magnetic tape, floppy disk, optical data storage device, etc.

[0101] It should be understood that in various embodiments of the present application, the magnitude of the sequence numbers of the above processes does not mean the order of execution, and the execution order of each process should be determined by its function and internal logic, and should not constitute any limitation to the implementation process of the embodiments of the present application.

[0102] It should be understood that determining B according to A does not mean determining B only according to A, and B can also be determined according to A and / or other information.

[0103] The above embodiments can be implemented in whole or in part by software, hardware, firmware, or any other combination. When implemented using software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the processes or functions according to the embodiments of the present invention are generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via a wired network or / and a wireless network. The computer-readable storage medium can be any available medium that the computer can access, or a data storage device such as a server or data center that includes one or more collections of available media. The available medium can be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium. The semiconductor medium can be a solid-state drive.

[0104] Those of ordinary skill in the art can realize that the units and algorithm steps of each example described in combination with the embodiments disclosed in the present invention can be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are executed in a hardware or software manner depends on the specific application and design constraints of the technical solution. A professional technician can use different methods for each specific application to implement the described functions, but such implementation should not be considered to exceed the scope of the present invention.

[0105] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0106] In the several embodiments provided by the present invention, it should be understood that the disclosed systems, devices, and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of units is only one type. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0107] Units described as separate components may or may not be physically separate, and components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0108] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0109] Throughout this specification, references to terms such as "one embodiment," "example," or "specific example" indicate that the specific features, structures, materials, or characteristics described in conjunction with that embodiment or example are included in at least one embodiment or example of the present invention. In this specification, schematic representations of these terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.

[0110] The basic principles, main features, and advantages of the present invention are shown and described above. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The above embodiments and descriptions are merely illustrative of the principles of the present invention. Various changes and modifications may be made to the present invention without departing from the spirit and scope of the present invention. Such changes and modifications are intended to fall within the scope of the present invention. The scope of protection claimed in the present invention is defined by the appended claims and their equivalents.

Claims

1. An intelligent power grid adaptive load balancing and demand response optimization control method, characterized in that The method includes: S1: Obtain the transmission data of each transmission branch of the power grid, simultaneously obtain the change situation of the operation data of the grid branch equipment, and simultaneously obtain the real-time load of the power grid; S2: Conduct transmission fluctuation and transmission stability analysis through the transmission data of each transmission branch of the power grid, and perform restoration evaluation of transmission stability based on the transmission fluctuation; S3: Conduct transmission equipment hazard assessment through the change situation of the operation data of the grid branch equipment during the signal propagation process, and perform restoration evaluation of the transmission equipment hazard assessment result based on the transmission fluctuation; S4: Conduct branch transmission safety analysis based on the restoration evaluation result of the transmission stability of the transmission branch and the restoration evaluation result of the transmission equipment hazard assessment result, and perform transmission allocation of the real-time load of the power grid based on the branch transmission safety analysis result.

2. The intelligent power grid adaptive load balancing and demand response optimization control method according to claim 1, wherein The transmission fluctuation analysis includes: S21: Obtain the transmission load of each branch of the power grid in the previous power grid operation cycle, and conduct abnormal analysis of branch load jitter based on the load transmission difference between adjacent moments of the transmission load; S22: Obtain the analysis result of abnormal branch load jitter, the average value of branch load in the previous cycle, and the safety value of branch load. Among them, the transmission fluctuation analysis formula is: Among them, Ds is the analysis result of abnormal branch load jitter, fh is the average value of branch load in the previous cycle, and fhz is the safety value of branch load.

3. The intelligent power grid adaptive load balancing and demand response optimization control method according to claim 2, characterized in that The restoration evaluation of transmission stability based on transmission fluctuation in S2 includes the following specific steps: S23: Obtain the transmission data reflecting the quality of the electrical signal, such as the current, voltage, and frequency of the transmission electrical signal of each transmission branch in the previous operation cycle. Analyze the stability of the branch electrical signal transmission through the transmission data of the current, voltage, and frequency of the electrical signal at the load end reflecting the quality of the electrical signal and the transmission data of the current, voltage, and frequency of the standard electrical signal after transmission reflecting the quality of the electrical signal. Among them, the stability analysis formula of the branch electrical signal transmission is: Among them, m is the number of types of electrical signal quality data, ai is the influence weight of the i-th type of electrical signal quality data, and Wi is the total deviation of the i-th type of electrical signal quality data from the transmission start position within the operation cycle; S24: Perform restoration evaluation of transmission stability through the power transmission stability and the analysis result of transmission fluctuation.

4. The intelligent power grid adaptive load balancing and demand response optimization control method according to claim 3, characterized in that The transmission equipment hazard assessment through the change situation of the operation data of the grid branch equipment during the signal propagation process in S3 includes the following specific steps: S31: Obtain the change situation of the operation data of the grid branch equipment, and obtain the operation abnormal value corresponding to the grid branch equipment through weighted summation of the difference between the operation data situation of the grid branch equipment in the previous cycle and the standard value; S32: Obtain the operation abnormal values of all equipment of the grid branch and the data of the damage influence area corresponding to the equipment, and obtain the transmission equipment hazard assessment value of the grid branch through weighted summation of the operation abnormal values of all equipment of the grid branch based on the ratio of the damage influence area data corresponding to the equipment to the standard area.

5. The intelligent power grid adaptive load balancing and demand response optimization control method according to claim 4, characterized in that, The restoration evaluation of the transmission equipment hazard assessment result based on transmission fluctuation in S3 includes the following specific steps: S33: Obtain the calculated transmission equipment hazard assessment value of the grid branch and the transmission fluctuation analysis result; S34: Perform restoration evaluation of the transmission equipment hazard assessment result based on the calculated transmission equipment hazard assessment value of the grid branch and the transmission fluctuation analysis result.

6. The intelligent power grid adaptive load balancing and demand response optimization control method according to claim 5, characterized in that, S4 includes the following specific steps: S41: Obtain the calculated restoration evaluation result of transmission stability and the restoration evaluation result of transmission equipment hazard. Obtain the branch transmission safety analysis result through weighted summation of the restoration evaluation result of transmission stability and the reciprocal of the restoration evaluation result of transmission equipment hazard, that is, evaluate and analyze the safety of the branch transmission load; S42: Compare the branch transmission safety analysis result with the set branch transmission safety analysis threshold. If the branch transmission safety analysis result is greater than or equal to the set branch transmission safety analysis threshold, set the branch as a safe transmission branch; if the branch transmission safety analysis result is less than the set branch transmission safety analysis threshold, do not set the branch as a safe transmission branch.

7. The intelligent grid adaptive load balancing and demand response optimization control method according to claim 6, characterized in that, S4 further includes the following specific steps: S43: Obtain the total safety of all safe transmission branches, and perform real-time load transmission allocation according to the proportion of the safety of the corresponding safe transmission branch in the total safety of all safe transmission branches, that is, the transmission allocation ratio of the real-time load of one safe transmission branch is the same as the proportion of the safety of the corresponding safe transmission branch in the total safety of all safe transmission branches.

8. The intelligent power grid adaptive load balancing and demand response optimization control method according to claim 7, characterized in that S1 includes the following specific steps: S11: Obtain the transmission data reflecting the electrical signal quality, including the current, voltage, and frequency of the transmission electrical signal of each transmission branch in the previous operation cycle during the grid operation process, and store the collected data in the storage component; S12: Obtain the operation data of the operation equipment of each transmission branch in the previous cycle during the grid operation process, and store the collected data in the storage component; S13: Simultaneously obtain the real-time transmission load of the grid and the transmission loads of each branch of the previous grid, and store the collected data in the storage component.

9. An intelligent power grid adaptive load balancing and demand response optimization control system, which is used to implement the intelligent power grid adaptive load balancing and demand response optimization control method described in any one of claims 1-8, and is characterized in that, The system includes the following modules: Data acquisition module, transmission stability analysis module, transmission equipment hazard assessment module, and load transmission allocation module; The data acquisition module is used to obtain the transmission data of each transmission branch of the grid, simultaneously obtain the change situation of the operation data of the grid branch equipment, and simultaneously obtain the real-time load of the grid; The transmission stability analysis module performs transmission fluctuation and transmission stability analysis through the transmission data of each transmission branch of the grid, and performs a reduction evaluation of the transmission stability based on the transmission fluctuation; The transmission equipment hazard assessment module performs transmission equipment hazard assessment through the change situation of the operation data of the grid branch equipment during the signal propagation process, and performs a reduction evaluation of the transmission equipment hazard assessment result based on the transmission fluctuation; The load transmission allocation module performs branch transmission safety analysis based on the reduction evaluation results of the transmission stability of the transmission branch and the reduction evaluation results of the transmission equipment hazard assessment results, and performs transmission allocation of the grid real-time load based on the branch transmission safety analysis result.

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