Diagnosis method of protection setting configuration operating status based on visualization and expert system

Abstract

The present invention discloses a method for diagnosing the operating status of protection setting configurations based on visualization and expert systems, including: visual management based on the regional distribution of protection setting configurations, while establishing an online screening model for protection setting configuration parameters based on an expert system within the power grid; inputting the monitored current operating status data parameters of the protection setting configurations into the online screening model at preset intervals to obtain a diagnostic result; converting the diagnostic result into a corresponding electrical signal and matching a corresponding troubleshooting and maintenance plan to achieve diagnosis of the operating status of the protection setting configurations. The present invention can facilitate the diagnosis of power grid circuit problems based on the difference between normal parameters and real-time parameters, and realize the function of early warning of abnormal power grid operation. At the same time, a reasonable troubleshooting and maintenance plan is formulated from the expert system for fault problems, and the constructed model is used to evaluate the performance of various protection setting configurations in each area, providing reliable parameters for later maintenance.

Description

Technical Field

[0001] The present invention relates to the technical field of power grid protection, and in particular to a method for diagnosing the operating status of protection setting configuration based on visualization and expert system. Background Art

[0002] In the power system, the general term for facilities and equipment that connect power generation and power consumption is used as an intermediate link in the transmission and distribution of electric energy. It is mainly composed of transmission lines, substations, distribution stations and distribution lines connected into a network. Usually, the unified whole connecting power generation and power consumption composed of transmission, substation, distribution equipment and corresponding auxiliary systems is called power grid.

[0003] The power grid's distribution area is vast, and the number and variety of protection settings equipment are numerous. When circuit anomalies or faulty circuits occur, relying solely on traditional methods to diagnose the problem increases the workload, leads to relatively low diagnostic accuracy, and still presents potential risks. Therefore, to address these issues, a method for diagnosing the operating status of protection settings based on visualization and expert systems is proposed. Summary of the Invention

[0004] The purpose of this section is to summarize some aspects of the embodiments of the present invention and briefly introduce some preferred embodiments. Some simplifications or omissions may be made in this section and the abstract and title of this application to avoid obscuring the purpose of this section, the abstract and the title of the invention, and such simplifications or omissions should not be used to limit the scope of the present invention.

[0005] In view of the above existing problems, the present invention is proposed.

[0006] Therefore, the technical problem solved by the present invention is that the traditional method of judging circuit abnormality or fault increases the workload of troubleshooting, its diagnostic accuracy is relatively biased, and there are potential hidden dangers.

[0007] In order to solve the above technical problems, the present invention provides the following technical solutions: visual management is performed according to the regional distribution of the protection setting configuration, and an online screening model of the protection setting configuration parameters is established based on the expert system within the power grid; the current operating status data parameters of the monitored protection setting configuration are input into the online screening model at preset intervals to obtain a diagnostic result; the diagnostic result is converted into a corresponding electrical signal and a corresponding troubleshooting and maintenance plan is matched to realize the diagnosis of the operating status of the protection setting configuration.

[0008] As a preferred solution of the protection setting configuration operating status diagnosis method based on visualization and expert system described in the present invention, the visualization management includes: inputting the regional distribution data of the protection setting configuration into a three-dimensional visualization management system; using the three-dimensional visualization management system to construct a three-dimensional model of the regional distribution data; using the main interface window to display the three-dimensional model, and visually managing the regional distribution of the protection setting configuration through the displayed three-dimensional model.

[0009] As a preferred solution of the protection setting configuration operating status diagnosis method based on visualization and expert system described in the present invention, the construction of the three-dimensional model includes: using a camera to shoot the equipment belonging to the area of the protection setting configuration; calculating the shooting posture of the camera and importing the feature points of the equipment-related area distribution data to reconstruct a fine three-dimensional grid model of the equipment; performing multi-source data fusion on the equipment and its related area distribution data to obtain their corresponding association relationship; using the texture mapping method to map the obtained association relationship to the three-dimensional grid model of the equipment, giving the grid model visual texture information, and realizing the three-dimensional display of the three-dimensional model.

[0010] As a preferred solution of the protection setting configuration operation status diagnosis method based on visualization and expert system of the present invention, wherein: based on the camera projection relationship, the method for calculating the shooting posture of the camera includes: based on the camera projection relationship, the association relationship between the geometric models of the equipment photographed is:

[0011]

[0012] Where p1 and p2 are pixel coordinates, K is the known camera intrinsic parameter matrix, E is the associated essential matrix to be solved, F is the associated basic matrix, ^ represents the matrix outer product, R represents the rotation transformation matrix, and t represents the translation transformation matrix;

[0013] The feature points are extracted using the AKAZE feature extraction strategy.

[0014] As an optimal solution of the protection setting configuration operating status diagnosis method based on visualization and expert system described in the present invention, the multi-source data fusion algorithm includes: using the gradient descent method to solve the optimal network weights, and the network includes an input layer, a hidden layer and an output layer.

[0015] As a preferred solution of the protection setting configuration operation status diagnosis method based on visualization and expert system of the present invention, the BP network of the hidden layer is:

[0016]

[0017] Among them, yk represents the kth output, represents the weight from neuron number i in the second hidden layer to neuron number k in the output layer, f(•) represents the transfer function of the hidden layer neurons, represents the weight from the jth neuron in the first input layer to the ith neuron in the hidden layer, a i is the bias value of neuron i in the hidden layer.

[0018] As a preferred solution of the protection constant configuration operating status diagnosis method based on visualization and expert system described in the present invention, the method for obtaining the diagnosis result includes: constructing a database based on collected historical data; retrieving M data samples from the database, inputting the data samples into a preset classification model for training, and obtaining a first online screening model; selecting N data samples from the M data samples and defining them as sub-sample sets, wherein M>N; using the sub-sample sets to correct the first online screening model, and obtaining a second online screening model corresponding to the sub-sample sets; inputting the current operating status data parameters into the online screening model, solving the output results of the first online screening model and the second online screening model, performing a difference operation and taking the absolute value; judging the operating status of the area where the protection constant configuration is located according to the absolute value.

[0019] As a preferred solution of the protection setting configuration operating status diagnosis method based on visualization and expert system described in the present invention, wherein: the judgment standard for judging the operating status of the area where the protection setting configuration is located according to the absolute value is: comparing the absolute value with the preset allowable difference range, the following three comparison scenarios: if the absolute value does not exceed the allowable difference range, it is judged that the protection setting configuration is in normal operating state; if the absolute value is within the allowable difference range, it is judged that there is an abnormality in the operation of the protection setting configuration; if the absolute value exceeds the allowable difference range, it is judged that there is a fault in the operation of the protection setting configuration.

[0020] As a preferred solution of the protection setting configuration operating status diagnosis method based on visualization and expert system described in the present invention, wherein: converting the diagnostic results into corresponding electrical signals and matching corresponding troubleshooting and maintenance plans include: converting the three absolute values divided according to the allowable difference range into normal electrical signals, abnormal electrical signals and fault electrical signals in turn, and the latter two electrical signals are electrically connected to the early warning system and fault system in the visualization management; while issuing the abnormal electrical signals and fault electrical signals, the expert system diagnosis built into the power grid provides a practical and feasible troubleshooting and maintenance plan.

[0021] As a preferred solution of the protection setting configuration operation status diagnosis method based on visualization and expert system described in the present invention, the preset interval time is every 3-4 minutes.

[0022] The beneficial effects of the present invention are as follows: under the visualization and expert system power grid management, the difference between normal parameters and real-time parameters can be used to diagnose power grid circuit problems, and the function of early warning of abnormal power grid operation can be realized. At the same time, a reasonable troubleshooting and repair plan is formulated from the expert system for fault problems, and the performance of various protection setting configurations in each area is evaluated using the established model, providing reliable parameters for subsequent maintenance. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] 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. Those skilled in the art can also derive other drawings based on these drawings without inventive effort. Among them:

[0024] Figure 1 A schematic diagram of the basic flow of a method for diagnosing the operating status of protection setting configurations based on visualization and expert systems, provided in one embodiment of the present invention;

[0025] Figure 2 A schematic diagram of the network structure of a method for diagnosing the operating status of protection setting configurations based on visualization and expert systems is provided in one embodiment of the present invention. DETAILED DESCRIPTION

[0026] To make the above-mentioned objects, features, and advantages of the present invention more clearly understood, the following detailed description of the specific embodiments of the present invention is given in conjunction with the accompanying drawings. It is obvious that the described embodiments are only part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in this field without creative work should fall within the scope of protection of the present invention.

[0027] In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention may also be implemented in other ways different from those described herein. 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.

[0028] Secondly, the term "one embodiment" or "embodiment" herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The phrase "in one embodiment" appearing in various places throughout this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive of other embodiments.

[0029] The present invention is described in detail with reference to schematic diagrams. For ease of illustration, cross-sectional views of device structures may be partially enlarged and not to scale when describing embodiments of the present invention. Furthermore, the schematic diagrams are merely illustrative and should not limit the scope of the present invention. Furthermore, in actual production, the three-dimensional dimensions of length, width, and depth should be included.

[0030] In the description of the present invention, it should be noted that the terms "upper, lower, inner, and outer" and other references to orientations or positional relationships are based on the orientations or positional relationships shown in the accompanying drawings and are intended solely to facilitate and simplify the description of the present invention. They are not intended to indicate or imply that the devices or components referred to must have, be constructed, or operate in a specific orientation, and therefore should not be construed as limitations on the present invention. Furthermore, the terms "first, second, or third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.

[0031] In this disclosure, unless otherwise specified or limited, the terms "mounted," "connected," and "connected" should be interpreted broadly. For example, they may refer to fixed, removable, or integral connections. They may also refer to mechanical, electrical, or direct connections, indirect connections through an intermediary, or internal communication between two components. Those skilled in the art will understand the specific meanings of these terms in this disclosure.

[0032] Example 1

[0033] Reference Figures 1-2 , which is an embodiment of the present invention, provides a method for diagnosing the operating status of protection setting configuration based on visualization and expert system, comprising:

[0034] S1: Visual management is performed based on the regional distribution of protection setting configurations, and an online screening model for protection setting configuration parameters is established based on the expert system within the power grid.

[0035] It should be noted that visual management includes:

[0036] Input the regional distribution data of protection setting configuration into the 3D visualization management system;

[0037] Use the 3D visualization management system to build a 3D model of regional distribution data;

[0038] The main interface window is used to display the three-dimensional model, and the regional distribution of the protection setting configuration is visually managed through the displayed three-dimensional model.

[0039] The construction of the 3D model includes:

[0040] Use the camera to take pictures of the equipment in the area where the protection setting is configured;

[0041] Calculate the camera's shooting posture and import the feature points of the device's relevant area distribution data to reconstruct a detailed 3D mesh model of the device;

[0042] Perform multi-source data fusion on the equipment and its related regional distribution data to obtain their corresponding association relationships;

[0043] The obtained association relationship is mapped to the three-dimensional mesh model of the device using the texture mapping method, and the mesh model is given visual texture information to achieve stereoscopic display of the three-dimensional model.

[0044] Furthermore, based on the camera projection relationship, the camera shooting posture calculation method includes:

[0045] Based on the projection relationship of the camera, the relationship between the captured device geometric models is as follows:

[0046]

[0047] Where p1 and p2 are pixel coordinates, K is the known camera intrinsic parameter matrix, E is the associated essential matrix to be solved, F is the associated basic matrix, ^ represents the matrix outer product, R represents the rotation transformation matrix, and t represents the translation transformation matrix;

[0048] The feature points are extracted using the AKAZE feature extraction strategy.

[0049] Multi-source data fusion algorithms include:

[0050] Use the gradient descent method to solve the optimal network weights, such as Figure 2 As shown, the network consists of an input layer, a hidden layer, and an output layer.

[0051] Among them, the BP network of the hidden layer is:

[0052]

[0053] Among them, y k represents the kth output, represents the weight from neuron number i in the second hidden layer to neuron number k in the output layer, f(·) represents the transfer function of the hidden layer neurons, represents the weight from the jth neuron in the first input layer to the ith neuron in the hidden layer, a i is the bias value of neuron i in the hidden layer.

[0054] The nonlinear transfer function of the neurons in the BP network takes the sigmoid function, that is:

[0055]

[0056] Among them, β=1.

[0057] Furthermore, the code for running the AKAZE feature extraction strategy is as follows:

[0058]

[0059]

[0060]

[0061] S2: Input the current operating status data parameters of the monitored protection setting configuration into the online screening model at preset intervals to obtain the diagnosis results.

[0062] It should be noted that the preset interval is every 3-4 minutes.

[0063] Furthermore, the method for obtaining the diagnosis result includes:

[0064] Build a database based on the collected historical data;

[0065] Retrieving M data samples from the database, inputting the data samples into a preset classification model for training, and obtaining a first online screening model;

[0066] Select N data samples from M data samples and define them as sub-sample sets, where M>N;

[0067] Using the sub-sample set to modify the first online screening model, to obtain a second online screening model corresponding to the sub-sample set;

[0068] Inputting the current operating status data parameters into the online screening model, solving the output results of the first online screening model and the second online screening model, performing a difference operation and taking the absolute value;

[0069] Determine the operating status of the area where the protection setting configuration is located based on the absolute value.

[0070] Furthermore, the criteria for judging the operating status of the area where the protection setting configuration is located based on the absolute value are:

[0071] Compare the absolute value with the preset allowable difference range, as shown in the following three comparison scenarios:

[0072] If the absolute value does not exceed the allowable difference range, it is determined that the protection setting configuration is in normal operation;

[0073] If the absolute value is within the allowable difference range, it is determined that the protection setting configuration operation is abnormal;

[0074] If the absolute value exceeds the allowable difference range, it is determined that the protection setting configuration operation fails.

[0075] S3: The diagnostic results are converted into corresponding electrical signals and the corresponding troubleshooting and maintenance plans are matched to realize the diagnosis of the operating status of the protection setting configuration.

[0076] It should be noted that the diagnostic results are converted into corresponding electrical signals and matched with corresponding troubleshooting and repair plans, including:

[0077] The three absolute values divided according to the allowable difference range are converted into normal electrical signals, abnormal electrical signals and fault electrical signals in turn. The latter two electrical signals are electrically connected to the early warning system and fault system in the visual management;

[0078] While sending abnormal electrical signals and fault electrical signals, the expert system diagnosis built into the power grid provides practical and feasible troubleshooting and maintenance solutions.

[0079] Under the visualization and expert system power grid management, the present invention can diagnose power grid circuit problems based on the difference between normal parameters and real-time parameters, and realize the function of early warning of abnormal power grid operation. At the same time, a reasonable troubleshooting and repair plan is formulated from the expert system for fault problems, and the performance of various protection setting configurations in each area is evaluated using the established model, providing reliable parameters for subsequent maintenance.

[0080] Example 2

[0081] This embodiment is another embodiment of the present invention. Different from the first embodiment, this embodiment provides a verification test of a protection setting configuration operating status diagnosis method based on visualization and expert system. In order to verify and illustrate the technical effects adopted in this method, this embodiment adopts a traditional technical solution and the method of the present invention for comparative testing, and compares the test results by means of scientific demonstration to verify the real effect of this method.

[0082] Traditional technical solution: The traditional way of judging circuit abnormality or fault will increase the workload of troubleshooting, and its diagnostic accuracy is relatively biased, and there are potential hidden dangers. In order to verify that this method has higher diagnostic accuracy and efficiency than the traditional method. In this embodiment, the traditional dual-group dual-stage hybrid quantized particle swarm algorithm (traditional method 1), the manual troubleshooting method (traditional method 2) and this method are respectively used for real-time measurement comparison. Turn on the automated test equipment and use MATLB software programming to implement simulation tests of the two methods. According to the experimental results, simulation data is obtained, and the test results are shown in the following table.

[0083] Table 1: Comparison of experimental results.

[0084]

[0085]

[0086] It can be seen from the above table that the method of the present invention has a high diagnostic accuracy, thereby being able to shorten the duration of the fault and improve its safety and reliability.

[0087] It should be appreciated that embodiments of the present invention can be implemented or practiced by computer hardware, a combination of hardware and software, or by computer instructions stored in a non-transitory computer-readable memory. The methods can be implemented in a computer program using standard programming techniques, including a non-transitory computer-readable storage medium configured with a computer program, wherein the storage medium so configured causes the computer to operate in a specific and predefined manner, according to the methods and figures described in the specific embodiments. Each program can be implemented in a high-level procedural or object-oriented programming language to communicate with the computer system. However, if desired, the program can be implemented in assembly or machine language. In any case, the language can be a compiled or interpreted language. In addition, the program can be run on a programmed application-specific integrated circuit for this purpose.

[0088] Furthermore, the operations of the processes described herein may be performed in any suitable order unless otherwise indicated herein or otherwise clearly contradicted by the context. The processes described herein (or variations and / or combinations thereof) may be performed under the control of one or more computer systems configured with executable instructions and may be implemented as code (e.g., executable instructions, one or more computer programs, or one or more applications) that is executed collectively on one or more processors, by hardware, or a combination thereof. The computer program includes a plurality of instructions that can be executed by one or more processors.

[0089] Furthermore, the methods can be implemented in any type of computing platform operably connected to a suitable computer, including but not limited to a personal computer, minicomputer, mainframe, workstation, network or distributed computing environment, standalone or integrated computer platform, or in communication with a charged particle tool or other imaging device, etc. Aspects of the present invention can be implemented as machine-readable code stored on a non-transitory storage medium or device, whether removable or integrated into a computing platform, such as a hard drive, optical read and / or write storage medium, RAM, ROM, etc., such that it can be read by a programmable computer, and when the storage medium or device is read by the computer, can be used to configure and operate the computer to perform the processes described herein. Furthermore, the machine-readable code, or portions thereof, can be transmitted over wired or wireless networks. When such media includes instructions or programs for implementing the steps described above in conjunction with a microprocessor or other data processor, the invention described herein includes these and other different types of non-transitory computer-readable storage media. The invention also includes the computer itself, when programmed according to the methods and techniques described herein. The computer program can be applied to input data to perform the functions described herein, thereby converting the input data to generate output data that is stored in non-volatile memory. The output information can also be applied to one or more output devices, such as a display. In a preferred embodiment of the present invention, the converted data represents a physical and tangible object, including a specific visual depiction of the physical and tangible object produced on a display.

[0090] As used in this application, the terms "component", "module", "system" and the like are intended to refer to a computer-related entity, which can be hardware, firmware, a combination of hardware and software, software, or software in operation. For example, a component can be, but is not limited to: a process running on a processor, a processor, an object, an executable file, a thread in execution, a program and / or a computer. As an example, both an application running on a computing device and the computing device can be a component. One or more components can exist in an executing process and / or thread, and a component can be located in a computer and / or distributed between two or more computers. In addition, these components can be executed from various computer-readable media having various data structures thereon. These components can communicate in the form of local and / or remote processes, such as based on signals having one or more data packets (e.g., data from a component that interacts with another component in a local system, a distributed system, and / or interacts with other systems in the form of signals over a network such as the Internet).

[0091] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit the present invention. 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 method for diagnosing the operating status of protection setting configuration based on visualization and expert system, characterized in that: include: Visual management is performed based on the regional distribution of protection setting configurations, and an online screening model for protection setting configuration parameters is established based on the expert system within the power grid; Inputting the monitored protection setting configuration current operating status data parameters into the online screening model at preset intervals to obtain a diagnosis result; The diagnostic results are converted into corresponding electrical signals and matched with corresponding troubleshooting and repair plans to diagnose the operating status of the protection setting configuration; The multi-source data fusion algorithm includes: using a gradient descent method to solve the optimal network weights, wherein the network includes an input layer, a hidden layer, and an output layer; The BP network of the hidden layer is: Among them, y k represents the kth output, represents the weight from neuron number i in the second hidden layer to neuron number k in the output layer, f(·) represents the transfer function of the hidden layer neurons, represents the weight from the jth neuron in the first input layer to the ith neuron in the hidden layer, a i is the bias value of neuron i in the hidden layer; The method for obtaining the diagnosis result includes: Build a database based on the collected historical data; Retrieving M data samples from the database, inputting the data samples into a preset classification model for training, and obtaining a first online screening model; Selecting N data samples from the M data samples and defining them as a sub-sample set, wherein M>N; The first online screening model is modified using the secondary sample set to obtain a second online screening model corresponding to the secondary sample set; the current operating status data parameter is input into the online screening model, and the output results of the first online screening model and the second online screening model are solved, a difference operation is performed, and an absolute value is taken; and the operating status of the area where the protection setting configuration is located is determined based on the absolute value; The judgment criteria for judging the operating state of the area where the protection setting configuration is located according to the absolute value are as follows: comparing the absolute value with a preset allowable difference range, under the following three comparison scenarios: if the absolute value does not exceed the allowable difference range, then it is determined that the protection setting configuration is in a normal operating state; If the absolute value is within the allowable difference range, it is determined that the protection setting configuration is operating abnormally; If the absolute value exceeds the allowable difference range, it is determined that the protection setting configuration operation fails; converting the diagnosis result into a corresponding electrical signal and matching the corresponding troubleshooting and repair plan includes: The three absolute values divided according to the allowable difference range are sequentially converted into normal electrical signals, abnormal electrical signals and fault electrical signals, and the latter two electrical signals are electrically connected to the early warning system and fault system in the visual management; While sending the abnormal electrical signal and fault electrical signal, the expert system diagnosis built into the power grid provides a practical and feasible troubleshooting and repair plan.

2. The method for diagnosing the operating status of protection setting configuration based on visualization and expert system according to claim 1, characterized in that: The visual management includes: The regional distribution data of the protection setting configuration is input into a three-dimensional visualization management system; a three-dimensional model of the regional distribution data is constructed using the three-dimensional visualization management system; the three-dimensional model is displayed using the main interface window, and the regional distribution of the protection setting configuration is visually managed through the displayed three-dimensional model.

3. The method for diagnosing the operating status of protection setting configuration based on visualization and expert system according to claim 2, characterized in that: The construction of the three-dimensional model includes: Using a camera to photograph the equipment in the area where the protection setting value is configured; calculating the camera's shooting posture and importing feature points of the equipment-related area distribution data to reconstruct a fine three-dimensional mesh model of the equipment; performing multi-source data fusion on the equipment and its related area distribution data to obtain their corresponding association relationships; The obtained association relationship is mapped to the three-dimensional grid model of the device using a texture mapping method, and visual texture information is given to the grid model to achieve stereoscopic display of the three-dimensional model.

4. The method for diagnosing the operating status of protection setting configuration based on visualization and expert system according to claim 1 or 3, characterized in that: Based on the camera projection relationship, the method for calculating the shooting posture of the camera includes: Based on the projection relationship of the cameras, the association relationship between the captured device geometric models is: Where p1 and p2 are pixel coordinates, K is the known camera intrinsic parameter matrix, E is the associated essential matrix to be solved, F is the associated basic matrix, ∧ represents the matrix outer product, R represents the rotation transformation matrix, and t represents the translation transformation matrix; The feature points are extracted using the AKAZE feature extraction strategy.

5. The method for diagnosing the operating status of protection setting configuration based on visualization and expert system according to claim 1, characterized in that: The preset interval time is every 3-4 minutes.

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