A power system fault information troubleshooting method

Abstract

The application discloses a power system fault information troubleshooting method, which determines the fault position through a statistical matrix, and determines the fault direction by comparing a normal working state image with a fault working image through a working image, and the overall fault troubleshooting method is simple and efficient, and the detection device can be connected to a storage device, and a to-be-identified image U1 and a to-be-identified image U2 are stored and recorded, so that when the same power equipment is subsequently subjected to fault troubleshooting, it is not necessary to generate secondary to-be-identified images, and the to-be-identified image U1 and the to-be-identified image U2 can be called and used according to the storage record, and the to-be-detected electrical component can be directly subjected to fault troubleshooting; the working signal of a non-fault electrical component and a fault electrical component is converted into a to-be-identified image signal, the uncertainty in the fault is qualitatively described, the fault direction can be compared and troubleshooted at the same time, the complicated fault troubleshooting is realized through a simple method, and the fault troubleshooting and detection efficiency of the power system is improved.

Description

Technical Field

[0001] The present invention relates to the field of power equipment fault detection, and in particular to a method for troubleshooting power system fault information. Background Art

[0002] With the development of the economy and the progress of society, the scale of the power system is expanding, the number of electricity users is increasing, and users' requirements for power quality are getting higher and higher. In order to ensure the safety, reliability and stability of power supply, electricity demand and the entire power system, regular fault detection of the power system plays an important role in high-quality power supply.

[0003] The power system fault process itself is inherently uncertain, primarily due to factors such as protection or circuit breaker misoperation or refusal to operate, and telecontrol information communication errors. When fault symptom signals can only be obtained through the SCADA (Supervisory Control and Data Acquisition) system, the uncertainty in power grid fault diagnosis becomes even more pronounced, impacting real-time diagnosis of power grid faults.

[0004] For example, a "method for diagnosing power system faults" disclosed in Chinese patent literature, with publication number CN105528679A, includes the following problems: low efficiency in power system fault troubleshooting, a complex fault detection process, and the need to use expert systems and information theory, which is not suitable for actual detection environments. Summary of the Invention

[0005] The present invention aims to overcome the problems in the prior art that the traditional power system fault troubleshooting process is complicated, the fault detection and troubleshooting efficiency is low, it is not suitable for actual detection environments, and the versatility is poor. It provides a power system fault information troubleshooting method. The overall process is simple and practical, the detection efficiency is high, and it can be applied to various actual detection environments in conjunction with the selection of on-site detection equipment, and it is highly versatility.

[0006] In order to achieve the above technical objectives, the present invention adopts the following technical solutions:

[0007] A method for troubleshooting power system fault information includes the following steps:

[0008] Step S1: Connect M electrical components to be tested in the power system in a one-way circuit, and set a signal input and a signal output;

[0009] Step S2: numbering each electrical component to be detected in the unidirectional circuit in step S1;

[0010] Step S3: Perform linear detection of the electrical component to be detected based on the number, starting from the signal input and ending at the signal output, and input the detection results into the statistical matrix P;

[0011] Step S4: After determining the fault location, first collect the working state of the normal working electrical component to form a to-be-identified image U1, and then collect the current, voltage, electric power and working heat of the fault location to form a to-be-identified image U2, and through comparison of the to-be-identified image U1 and the to-be-identified image U2, the fault information of the to-be-detected electrical component is checked and confirmed.

[0012] The fault location is determined by the statistical matrix, and the fault direction is determined by comparing the normal working state image with the fault working image through the working image. The overall fault checking method is simple and efficient, and the detection device can also be connected to the storage device to store the to-be-identified image U1 and the to-be-identified image U2. When the same power equipment is checked for faults in the future, the to-be-identified image U1 and the to-be-identified image U2 can be called and used, and the to-be-detected electrical component can be directly checked for faults.

[0013] As a preferred, the step S2 comprises the following steps:

[0014] Step S2-1: After completing the setting of the one-way circuit, the first to-be-detected electrical component closest to the signal inlet in the one-way circuit is marked as A1, and the to-be-detected electrical component adjacent to the to-be-detected electrical component marked as A1 is identified at the same time.

[0015] Step S2-2: The adjacent to-be-detected electrical component in step S2-1 is marked as A2, the electrical signal between A1 and A2 is reduced, and the process of step S2-1 is repeated.

[0016] Step S2-3: Repeat step S2-2, and when the last to-be-detected electrical component is marked as M, the numbering of all to-be-detected electrical components is completed, and the to-be-detected electrical component numbering process is ended.

[0017] As a preferred, the step S3 comprises the following steps:

[0018] Step S3-1-1: The detection device starts from the signal inlet and ends at the signal outlet, and sequentially detects the to-be-detected electrical components marked in step S2;

[0019] Step S3-1-2: When the to-be-detected electrical component is identified by the detection device as a non-fault device, 0 is input at the corresponding position of the statistical matrix P.

[0020] Step S3-1-3: When the to-be-detected electrical component is identified by the detection device as a fault device, 1 is input at the corresponding position of the statistical matrix P.

[0021] As a preferred, the statistical matrix P is an N-order matrix of i rows and j columns, where i>1, j>1, N=i*j≥M, and the specific form is as follows:

[0022]

[0023] wherein an(n=0, 1, 2, 3, 4…N) is 0 or 1.

[0024] As preferred, the step S3 further comprises the following steps:

[0025] Step S3-2-1: multiplying the statistical matrix P with two first-order matrices A1 and A2 respectively to obtain target matrices B1 and B2 respectively; Step S3-2-2: obtaining the fault position as the Nth electrical component, wherein N=i*j, when the i and j values in B1 and B2 are not 0.

[0026] As preferred, the maximum number of connections between the electrical components to be detected is K, and K≤2, the electrical component numbered A1 is connected with the detection device, and the electrical component numbered AM is connected only with the AM-1th.

[0027] As preferred, the step S4 comprises the following steps:

[0028] Step S4-1: before positioning the fault position, scanning and identifying the first electrical component to be detected connected with the detection device, and forming a to-be-identified image U1 through the normal working image signal of the first electrical component to be detected;

[0029] Step S4-2-1: after determining the fault position, if the first electrical component to be detected is a non-fault electrical component, setting the to-be-identified image U1 as a standard working image A;

[0030] Step S4-2-2: forming a to-be-identified image U2 through the working image signals of the electrical components to be detected except the first electrical component to be detected according to the marking order, comparing the standard working image A with the to-be-identified image U2 to determine the specific fault condition, and repeating the current step;

[0031] Step S4-3-1: if the first electrical component to be detected is a fault electrical component, setting the to-be-identified image U1 as a fault working image A;

[0032] Step S4-3-2: forming a to-be-identified image U2 through the working image signals of the electrical components to be detected except the first electrical component to be detected, if the second electrical component to be detected is a non-fault electrical component, setting the to-be-identified image U2 as a standard working image A, and repeating the step S4-2-2;

[0033] Step S4-3-3: if the second electrical component to be detected is a fault electrical component, repeating the step S4-3-1 and the step S4-3-2 until the working image signal of the non-fault electrical component forms the standard working image A, and repeating the step S4-2-2.

[0034] The working signal of the non-fault electrical component and the working signal of the fault electrical component are converted into the to-be-identified image signal, the uncertainty in the fault is qualitatively described, the fault direction can be compared and investigated at the same time, the complex fault investigation can be realized by a simple method, and the fault investigation and detection efficiency of the power system is improved.

[0035] Therefore, the present application has the following beneficial effects:

[0036] The fault position is determined through the statistical matrix, the fault direction is determined by comparing the normal working state image and the fault working image through the working image, the overall fault investigation method is simple and efficient, and the detection device can be connected to the storage device, the to-be-identified image U1 and the to-be-identified image U2 are stored and recorded, in the subsequent fault investigation of the same power equipment, the to-be-identified image does not need to be generated again, the to-be-identified image U1 and the to-be-identified image U2 can be called and stored, and the fault investigation of the to-be-detected electrical component can be directly performed;

[0037] The working signal of the non-fault electrical component and the working signal of the fault electrical component are converted into the to-be-identified image signal, the uncertainty in the fault is qualitatively described, the fault direction can be compared and investigated at the same time, the complex fault investigation can be realized by a simple method, and the fault investigation and detection efficiency of the power system is improved. BRIEF DESCRIPTION OF DRAWINGS

[0038] Figure 1 is the investigation process flowchart of the present application;

[0039] Figure 2 is the fault area division diagram of the identified image of the present application. DETAILED DESCRIPTION

[0040] The present application will be further specifically described below in combination with the drawings and specific embodiments.

[0041] Embodiment one

[0042] As shown in the detection investigation process flowchart of the present application, the specific process is as follows: Figure 1

[0043] A power system fault information investigation method, comprising the following steps:

[0044] Step S1: connecting M to-be-detected electrical components in a power system in a unidirectional circuit, setting a signal inlet and a signal outlet;

[0045] Step S2: numbering each to-be-detected electrical component in the unidirectional circuit in step S1;

[0046] ​Step S3: Linear detection of the electrical components to be detected is performed from the signal inlet as the starting point and the signal outlet as the ending point according to the numbering, and the detection result is input into the statistical matrix P;

[0047] Step S4: After the fault location is determined, the working state of the normal working electrical component to be detected is collected to form an image to be recognized U1, and the current, voltage, electric power and working heat of the fault location are collected to form an image to be recognized U2. The fault information of the electrical component to be detected is confirmed by comparing the image to be recognized U1 and the image to be recognized U2.

[0048] The fault location is determined through the statistical matrix, and the fault direction is determined by comparing the normal working state image and the fault working image through the working image. The overall fault troubleshooting method is simple and efficient, and the detection device can be connected to the storage device to store the image to be recognized U1 and the image to be recognized U2. In the subsequent fault troubleshooting of the same power equipment, the image to be recognized U1 and the image to be recognized U2 can be called and used to directly troubleshoot the electrical component to be detected without generating a second image to be recognized.

[0049] The step S2 includes the following steps:

[0050] Step S2-1: After the setting of the one-way circuit is completed, the first electrical component to be detected closest to the signal inlet in the one-way circuit is marked as A1, and the electrical component to be detected adjacent to the electrical component to be detected marked as A1 is identified at the same time.

[0051] Step S2-2: The adjacent electrical component to be detected in step S2-1 is marked as A2, the electrical signal between A1 and A2 is reduced, and the process of step S2-1 is repeated.

[0052] Step S2-3: Step S2-2 is repeated, and when the last electrical component to be detected is marked as M, the numbering of all electrical components to be detected is completed, and the numbering process of the electrical components to be detected is ended.

[0053] As a preferred embodiment, the step S3 includes the following steps:

[0054] Step S3-1-1: The detection device starts from the signal inlet and ends at the signal outlet, and sequentially detects the electrical components to be detected according to the marking in step S2;

[0055] Step S3-1-2: When the electrical component to be detected is identified by the detection device as a non-fault device, 0 is input into the corresponding position of the statistical matrix P;

[0056] Step S3-1-3: When the electrical component to be detected is identified by the detection device as a fault device, 1 is input into the corresponding position of the statistical matrix P.

[0057] As preferred, the statistical matrix P is an i-row j-column N-order matrix, where i>1, j>1, N=i*j≥M, and is specifically as follows:

[0058]

[0059] Where an (n=0, 1, 2, 3, 4…N) is 0 or 1.

[0060] The step S3 further comprises the following steps:

[0061] Step S3-2-1: multiplying the statistical matrix P with two first-order matrices A1 and A2 respectively to obtain target matrices B1 and B2 respectively; Step S3-2-2: obtaining the fault position as the Nth electrical component, where N=i*j, by taking the i and j values in B1 and B2 when the values are not 0.

[0062] As preferred, the maximum number of connections between the electrical components to be detected is K, and K≤2, the electrical component to be detected numbered A1 is connected with the detection device, and the electrical component to be detected numbered AM is only connected with AM-1.

[0063] The step S4 comprises the following steps:

[0064] Step S4-1: before positioning the fault position, scanning and identifying the first electrical component to be detected accessed by the detection device, and forming a to-be-identified image U1 through the normal working image signal of the first electrical component to be detected;

[0065] Step S4-2-1: after determining the fault position, if the first electrical component to be detected is a non-fault electrical component, setting the to-be-identified image U1 as a standard working image A;

[0066] Step S4-2-2: forming a to-be-identified image U2 through the working image signals of the electrical components to be detected except the first electrical component to be detected in accordance with the marking order, comparing the standard working image A with the to-be-identified image U2 to determine the specific fault condition, and repeating the current step;

[0067] Step S4-3-1: if the first electrical component to be detected is a fault electrical component, setting the to-be-identified image U1 as a fault working image A;

[0068] Step S4-3-2: forming a to-be-identified image U2 through the working image signals of the electrical components to be detected except the first electrical component to be detected, if the second electrical component to be detected is a non-fault electrical component, setting the to-be-identified image U2 as a standard working image A, and repeating step S4-2-2;

[0069] Step S4-3-3: If the second detected electrical component is a faulty electrical component, repeat step S4-3-1 and step S4-3-2 until a working image signal forming standard working image A of a non-faulty electrical component is obtained, and repeat step S4-2-2.

[0070] By converting the working signals of the non-faulty electrical component and the faulty electrical component into the to-be-identified image signal, the uncertainty in the fault is qualitatively described, and the fault direction can be compared and investigated at the same time. A simple method is used to realize complex fault investigation, and the fault investigation and detection efficiency of the power system is improved.

[0071] Embodiment Two

[0072] Through Figure 1 the investigation steps, the fault investigation and prediction can also be performed in the following manner:

[0073] Step SA1: According to the action switch record and electrical component fault condition collected by the to-be-identified image U1, the topology analysis is performed to obtain all power loss and fault areas after the fault;

[0074] Step SA2: The fault protection properties of the power loss fault are determined through telemetering, telemetering, and power supply protection types, action time, etc. The protection object is set as the faulty device, the fault investigation range is narrowed, and the identification signal brought by the to-be-identified image U1 is used to narrow the fault investigation area;

[0075] Step SA3: The prior probability of each fault signal source is calculated by combining the prior probability of the electrical component fault, the action probability of the protection and switch, and the signal information amount or posterior probability of the signal source is calculated according to the received fault symptom information and using the information transmission theory;

[0076] Step SA4: The conditional self-information amount of the signal source is arranged from small to large, and the fault probability corresponding to the signal source at the front is the optimal possible occurrence. At the same time, it is judged whether the device protection and the switch can correctly perform the protection action, and whether there is signal loss or coding error in the signal transmission process.

[0077] Embodiment Three

[0078] As Figure 2 described, a fault area division diagram for the to-be-identified image is provided.

[0079] The to-be-identified image U1 or the to-be-identified image U2 is divided into 9 areas, the template image is divided into a plurality of rectangular to-be-identified image blocks by using horizontal lines and vertical lines, and the 9 to-be-identified image blocks in the diagram are sequentially marked as 1-9 from left to right and from top to bottom, and Figure 2The position of the to-be-identified image block in the original to-be-identified image U1 or to-be-identified image U2 and the corresponding electrical component normal working state or fault working state correspond to each other. If the electrical component working state is normal, the color blocks of the to-be-identified image U1 are marked as the standard to-be-identified image U1, the to-be-detected electrical component in the normal working state after the first troubleshooting in step S4 is marked with color blocks, and the switch state is judged.

[0080] By dividing the independent fault block, the troubleshooting of the electrical component can be performed, and the fault state and severity of each different electrical component can be determined.

[0081] As Figure 2 In the embodiment shown, the image data such as the template image and the to-be-identified image block in the to-be-identified image can be directly saved by the information storage module in the image saving mode, and can also be extracted from the information storage module in the same mode.

[0082] The above embodiments shown in the drawings detail the structure, features and effects of the present application, but the above are only preferred embodiments of the present application. It should be noted that the technical features involved in the above embodiments and preferred modes can be reasonably combined and matched into various equivalent schemes by those skilled in the art without departing from or changing the design idea and technical effects of the present application. Therefore, the present application is not limited by the shown drawings, and any change or modification made according to the concept of the present application, or any equivalent embodiment within the scope of the present application, should be within the protection scope of the present application.

Claims

1. A method for troubleshooting power system fault information, characterized in that: The following steps are involved: Step S1: Connect M electrical components to be tested in the power system in a one-way circuit, and set a signal input and a signal output; Step S2: numbering each electrical component to be detected in the unidirectional circuit in step S1; Step S3: Perform linear detection of the electrical component to be detected based on the number, starting from the signal input and ending at the signal output, and input the detection results into the statistical matrix P; Step S4: First scan and identify the first electrical component to be detected connected to the detection device to form an image to be identified U1. If the first component is not a faulty component, U1 is set as the standard working image A. The working images U2 of the remaining components are compared with A to confirm the fault and repeat; If the first one is a faulty component, continue searching for electrical components by serial number until the working image signal of the non-faulty electrical component is obtained to form the standard working image A. After determining the fault location, first collect the working status of the normally working electrical component to be detected to form the image to be identified U1, and then collect the current, voltage, electric power, and working heat of the fault location to form the image to be identified U2. Divide image U1 and image U2 into multiple areas, and by comparing image U1 and image U2 to be identified, check and confirm the fault information of the electrical component to be detected.

2. A method for troubleshooting power system fault information according to claim 1, characterized in that: The step S2 comprises the following steps: Step S2-1: After completing the one-way circuit setup, starting with the signal inlet, mark the first electrical component to be detected closest to the signal inlet in the one-way circuit as A1, and simultaneously identify the electrical components to be detected adjacent to the electrical component to be detected marked as A1; Step S2-2: Mark the adjacent electrical components to be detected described in step S2-1 as A2, reduce the electrical signal between A1 and A2, and repeat the process of step S2-1; Step S2-3: Repeat step S2-2. When the last electrical component to be detected is marked as M, the numbering of all electrical components to be detected is completed, and the numbering process of the electrical components to be detected ends.

3. A method for troubleshooting power system fault information according to claim 1, characterized in that: The step S3 comprises the following steps: Step S3-1-1: The detection device starts with the signal input and ends with the signal output, and performs fault detection in accordance with the marks of the electrical components to be detected in step S2; Step S3-1-2: When the electrical component to be tested is identified as a non-faulty device by the testing device, 0 is input into the corresponding position of the statistical matrix P; Step S3-1-3: When the electrical component to be detected is identified as a faulty device by the detection device, 1 is input into the corresponding position of the statistical matrix P.

4. A method for troubleshooting power system fault information according to claim 3, characterized in that: The statistical matrix P is an N-order matrix with i rows and j columns, where i>1, j>1, and N=i*j≥M, as shown below: Where an (n=0, 1, 2, 3, 4...N) is 0 or 1.

5. A method for troubleshooting power system fault information according to claim 1 or 4, characterized in that: The step S3 further comprises the following steps: Step S3-2-1: Multiply the statistical matrix P with the two first-order matrices A1 and A2 respectively to obtain the target matrices B1 and B2 respectively; Step S3-2-2: Take the values ​​of i and j when the values ​​in B1 and B2 are not 0, and obtain the fault location as the Nth electrical component, where N = i*j.

6. A method for troubleshooting power system fault information according to claim 2, characterized in that: The maximum number of connections between the electrical components to be detected is K, and K≤2. The electrical device to be detected numbered A1 is connected to the detection device, and the electrical device to be detected numbered AM is only connected to AM-1.

7. A method for troubleshooting power system fault information according to claim 1, characterized in that: Troubleshooting predictions can also be performed through the following methods: Step SA1: Based on the action switch records and electrical component fault conditions collected by the image to be identified U1, all power outages and fault areas after the fault are obtained through topological analysis; Step SA2: Determine the fault protection nature of the power failure through telemetry, telesignaling, power supply protection type, and action time, set the protection object to the possible faulty equipment, narrow the scope of the fault investigation, and narrow the fault investigation area through the identification signal brought by the image to be identified U1; Step SA3: Calculate the prior probability of each fault signal source by combining the prior probability of electrical component failure and the action probabilities of protection and switch. Calculate the signal information content or posterior probability of the signal source based on the received fault symptom information and information transmission theory. Step SA4: Arrange the signal source conditions from small to large in terms of information volume. The fault probability corresponding to the signal source at the front is the most likely to occur. At the same time, determine whether the equipment protection and switch can perform protection actions correctly, and whether there is any signal loss or coding error during the signal transmission process.

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