A system and method for reducing line fault trip range deviation rate

Abstract

The application discloses a system and method for reducing line fault trip ranging deviation rate, mainly relates to the technical field of line fault detection, and aims to solve the technical problem of high fault trip ranging deviation rate of the existing equipment detection. The system comprises a data receiving module, an algorithm correction module and a parameter setting module. The data receiving module is used for generating an algorithm correction instruction when it is detected that the predicted fault cause is that the algorithm does not consider the grounding resistance, and generating a line parameter resetting instruction when it is detected that the predicted fault cause is that the deviation between the line theoretical parameters and the actual parameters exceeds a threshold value. The algorithm correction module is used for responding to the algorithm correction instruction. A logarithmic model of fault ranging is established, and preset sample data are selected for multiple iterations until a preset target value is iterated out, so that the correction of the logarithmic model is completed. The parameter setting module is used for sending the line parameter resetting instruction to a parameter acquisition terminal, acquiring the actual parameters uploaded by the parameter acquisition terminal, and completing the line parameter resetting. The application improves the fault ranging accuracy through the above method.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of line fault detection, and particularly relates to a system and method for reducing line fault trip ranging deviation rate. BACKGROUND

[0002] Line fault ranging refers to that after a high-voltage transmission line is disturbed, a protection device trips, and a fault recording device calculates the distance from the fault point to the installation position of the device. The ranging deviation rate represents the accuracy of the ranging result.

[0003] At present, the ranging deviation rate of some power grid enterprises is relatively high. For example, in 2018, the fault tripping of 35 kV (with fault recording device) and above lines of Taian power grid occurred 102 times, and the ranging deviation rate was 10.64%. Since the recovery after line fault tripping is not timely, it will seriously affect the stable operation of the power grid, so it is particularly important to quickly find the fault point after line fault tripping.

[0004] Therefore, a system and method for reducing line fault trip ranging deviation rate are needed to improve the fault ranging accuracy. SUMMARY

[0005] In view of the above problems of the prior art, the present application provides a system and method for reducing line fault trip ranging deviation rate to solve the above technical problems.

[0006] In a first aspect, the embodiments of the present application provide a system for reducing line fault trip ranging deviation rate. The system comprises: a data receiving module configured to receive a predicted fault cause; an algorithm correction instruction is generated when it is detected that the predicted fault cause is that an algorithm does not consider grounding resistance; a line parameter resetting instruction is generated when it is detected that the predicted fault cause is that a line theoretical parameter deviates from an actual parameter by more than a threshold value; an algorithm correction module configured to respond to the algorithm correction instruction; a logarithmic model for fault ranging is established, and a preset sample data is selected for multiple iterations until a preset target value is iterated out, and then the correction of the logarithmic model is completed; a parameter resetting module configured to send the line parameter resetting instruction to a parameter acquisition terminal; and actual parameters uploaded by the parameter acquisition terminal are acquired, and then the line parameter resetting is completed.

[0007] Further, the system further comprises a first-level fault detection module. The first-level fault detection module is configured to receive a fault main cause instruction, so as to acquire first fault data when it is detected that the fault main cause instruction is a fault type. The first fault data includes any one of the following: gateway instantaneous interruption, line operation overage, clock time synchronization exception, line parameter unevenness, line theoretical parameter deviating from actual parameter by more than a threshold value, bus voltage extraction error, algorithm not considering grounding resistance, and "T-connected" line. A preset fault detection formula is used: generate a predicted fault cause; wherein, a represents the number of lines corresponding to the first fault data, N represents the number of samples, and θ represents the ranging deviation rate of a single line.

[0008] Further, the system further comprises a second-level fault detection module; the second-level fault detection module is configured to obtain line fault tripping data; wherein, the line tripping data comprises line ranging deviation rate and second fault data; wherein, the second fault data comprises any one of the following: tripping time, tripping area, fault recorder manufacturer, tripping line length, and fault type; by using a preset fault detection influence factor formula: determine the second fault data corresponding to the maximum influence factor as the main cause of the fault; generate a fault main cause instruction; wherein, n represents the number of lines corresponding to the second fault data, N represents the number of samples, and θ represents the ranging deviation rate of a single line.

[0009] Further, the system further comprises a system activation module; the system activation module is configured to obtain a single-phase grounding proportion; when the single-phase grounding proportion exceeds a preset threshold, the system is activated.

[0010] In a second aspect, the embodiments of the present application provide a method for reducing line fault tripping ranging deviation rate, the method comprising: receiving a predicted fault cause; when it is detected that the predicted fault cause is that the algorithm does not consider the grounding resistance, generating an algorithm correction instruction; when it is detected that the predicted fault cause is that the deviation between the line theoretical parameters and the actual parameters exceeds a threshold, generating a line parameter re-setting instruction; responding to the algorithm correction instruction; establishing a logarithmic model of fault ranging, selecting preset sample data for multiple iterations until a preset target value is iterated out, thereby correcting the logarithmic model; sending the line parameter re-setting instruction to a parameter collection terminal; obtaining actual parameters uploaded by the parameter collection terminal, thereby completing line parameter re-setting.

[0011] Further, before receiving the predicted fault cause, the method further comprises: receiving a fault main cause instruction, so as to obtain first fault data when it is detected that the fault main cause instruction is a fault type; wherein, the first fault data comprises any one of the following: gateway instantaneous interruption, line operation overage, clock time synchronization exception, line parameter unevenness, deviation between line theoretical parameters and actual parameters exceeding a threshold, bus voltage extraction error, algorithm not considering grounding resistance, and "T-connected" line; by using a preset fault detection formula: generate a predicted fault cause; wherein, a represents the number of lines corresponding to the first fault data, N represents the number of samples, and θ represents the ranging deviation rate of a single line.

[0012] Further, before receiving the fault main cause instruction, the method further comprises: acquiring line fault tripping data; wherein the line tripping data comprises line ranging deviation rate, second fault data; wherein the second fault data comprises any one of the following: tripping time, tripping area, fault recorder manufacturer, tripping line length, fault type; and the maximum influence factor is determined by a preset fault detection influence factor formula: determining the first fault data corresponding to the maximum influence factor as the main fault main cause; generating a fault main cause instruction; wherein n represents the number of lines corresponding to the second fault data, N represents the number of samples, and θ represents the ranging deviation rate of a single line.

[0013] Further, the method further comprises: acquiring a single-phase grounding proportion; and when the single-phase grounding proportion exceeds a preset threshold, acquiring a predicted fault cause.

[0014] Those skilled in the art can understand that the present application has at least the following beneficial effects: the data receiving module effectively receives the predicted fault cause; in addition, the first fault detection module can generate the predicted fault cause; the second fault detection module can generate the fault main cause instruction. The algorithm correction module and the parameter setting module correct the algorithm and the line parameters, thereby achieving the technical effect of reducing the line fault tripping ranging deviation rate. BRIEF DESCRIPTION OF DRAWINGS

[0015] Some embodiments of the present disclosure will be described below with reference to the accompanying drawings, in which:

[0016] Figure 1 is a system internal structure diagram provided by the present application for reducing the line fault tripping ranging deviation rate.

[0017] Figure 2 is a method flowchart provided by the present application for reducing the line fault tripping ranging deviation rate. DETAILED DESCRIPTION

[0018] Those skilled in the art should understand that the embodiments described below are only preferred embodiments of the present disclosure, and do not represent that the present disclosure can only be implemented by the preferred embodiments. The preferred embodiments are only used to explain the technical principles of the present disclosure, and are not used to limit the protection scope of the present disclosure. Based on the preferred embodiments provided by the present disclosure, all other embodiments obtained by those of ordinary skill in the art without creative labor should fall within the protection scope of the present disclosure.

[0019] It should also be noted that the terms "comprising," "containing," or any other similar term are intended to encompass the inclusion of one or more elements, steps, or components, but not exclusion of other elements, steps, or components. In other words, the term "comprising" is used in the sense of "including" but not necessarily "consisting of."

[0020] The technical solutions provided by the embodiments of the present application will be described in detail below with reference to the drawings.

[0021] Figure 1 A system for reducing line fault trip ranging deviation rate is provided in the embodiments of the present application. As shown in the figure, Figure 1 The system provided by the embodiments of the present application mainly includes a data receiving module 110, an algorithm correction module 120, and a parameter setting module 130.

[0022] The data receiving module 110 is configured to receive a predicted fault cause, generate an algorithm correction instruction when it is detected that the predicted fault cause is that an algorithm does not consider a grounding resistance, and generate a line parameter resetting instruction when it is detected that the predicted fault cause is that a line theoretical parameter deviation from an actual parameter exceeds a threshold value.

[0023] The scheme for receiving the predicted fault cause can be that the system further includes a first-level fault detection module 140. The first-level fault detection module 140 is configured to receive a fault main cause instruction to obtain first fault data when it is detected that the fault main cause instruction is a fault type. The first fault data includes any one of the following: gateway instantaneous interruption, line operation life exceeding, clock time synchronization exception, line parameter unevenness, line theoretical parameter deviation from actual parameter exceeding a threshold value, bus voltage extraction error, algorithm not considering grounding resistance, and "T-connected" line. A preset fault detection formula is used to generate a predicted fault cause, where a represents a line number corresponding to the first fault data, N represents a sample number, and θ represents a single-line ranging deviation rate.

[0024] Further, the scheme for receiving the fault main cause instruction can be that the system further includes a second-level fault detection module 150. The second-level fault detection module 150 is configured to obtain line fault trip data. The line trip data includes line ranging deviation rate and second fault data. The second fault data includes any one of the following: trip time, trip area, fault recorder manufacturer, trip line length, and fault type. A preset fault detection influence factor formula is used to generate a predicted fault cause. ​The second fault data corresponding to the maximum influence factor is determined as a main fault cause; a fault cause instruction is generated; wherein, n represents the number of lines corresponding to the second fault data, N represents the sample quantity, and θ represents the single-line distance measurement deviation rate.

[0025] In addition, in order to improve the operation accuracy of the system, a system activation setting can be set. As an example, the system further comprises a system activation module 160; the system activation module 160 is configured to acquire a single-phase grounding proportion; when the single-phase grounding proportion exceeds a preset threshold, the system is activated.

[0026] The algorithm correction module 120 is configured to respond to the algorithm correction instruction; a logarithmic model of fault distance measurement is established, and a preset sample data is selected for multiple iterations until a preset target value is iterated, so as to complete the correction of the logarithmic model.

[0027] The parameter setting module 130 is configured to send a line parameter resetting instruction to a parameter acquisition terminal; and acquire actual parameters uploaded by the parameter acquisition terminal, so as to complete the resetting of the line parameters.

[0028] In addition, the embodiment of the present application also provides a method for reducing the line fault trip distance measurement deviation rate, as shown in the method provided by the embodiment of the present application, mainly comprising the following steps: Figure 2

[0029] Step 210, receiving a predicted fault cause; when it is detected that the predicted fault cause is that the algorithm does not consider the grounding resistance, an algorithm correction instruction is generated; when it is detected that the predicted fault cause is that the deviation between the line theoretical parameters and the actual parameters exceeds a threshold, a line parameter resetting instruction is generated.

[0030] Specifically, before receiving the predicted fault cause, the method can further comprise: receiving a fault cause instruction, so as to acquire first fault data when it is detected that the fault cause instruction is a fault type; wherein, the first fault data comprises any one of the following: gateway instantaneous interruption, line operation overage, clock time synchronization exception, line parameter unevenness, deviation between line theoretical parameters and actual parameters exceeding a threshold, bus voltage extraction error, algorithm not considering grounding resistance, and "T-connected" line; through a preset fault detection formula: generating a predicted fault cause; wherein, a represents the number of lines corresponding to the first fault data, N represents the sample quantity, and θ represents the single-line distance measurement deviation rate.

[0031] Further, before receiving the fault cause instruction, the method can further comprise: acquiring line fault trip data; wherein, the line trip data comprises a line distance measurement deviation rate and second fault data; wherein, the second fault data comprises any one of the following: trip time, trip area, fault recorder manufacturer, trip line length, and fault type; through a preset fault detection influence factor formula:​ The second fault data corresponding to the maximum influence factor is determined as a main fault cause; a fault cause instruction is generated; wherein n represents the number of lines corresponding to the second fault data, N represents the number of samples, and θ represents the single-line ranging deviation rate.

[0032] In addition, in order to improve the operation accuracy of the system, the system activation setting can be set. The method further comprises: obtaining a single-phase grounding proportion; when the single-phase grounding proportion exceeds a preset threshold, obtaining a received predicted fault cause.

[0033] Step 220, responding to the algorithm correction instruction; establishing a logarithmic model of fault ranging, selecting preset sample data for multiple iterations until the preset target value is iterated, and then completing the correction of the logarithmic model.

[0034] Step 230, sending the line parameter resetting instruction to the parameter collection terminal; obtaining the actual parameters uploaded by the parameter collection terminal, and then completing the line parameter resetting.

[0035] So far, the technical solutions of the present disclosure have been described in combination with the foregoing embodiments. However, those skilled in the art can easily understand that the protection scope of the present disclosure is not limited to these specific embodiments. Those skilled in the art can split and combine the technical solutions in the above embodiments without deviating from the technical principles of the present disclosure, and can make equivalent changes or replacements to the related technical features. Any changes, equivalent replacements, improvements, etc. made within the technical concept and / or technical principles of the present disclosure will fall within the protection scope of the present disclosure.

Claims

1. A system for reducing the rate of line fault trip misdistance bias, comprising: The system comprises: a data receiving module for receiving a predicted fault cause; generating an algorithm correction instruction when it is detected that the predicted fault cause is that the algorithm does not consider the grounding resistance; generating a line parameter resetting instruction when it is detected that the predicted fault cause is that the deviation between the line theoretical parameter and the actual parameter exceeds a threshold value; an algorithm correction module for responding to the algorithm correction instruction; establishing a logarithmic model for fault location, selecting preset sample data for multiple iterations until a preset target value is iterated, and then completing correction of the logarithmic model; a parameter resetting module for sending the line parameter resetting instruction to a parameter collection terminal; obtaining actual parameters uploaded by the parameter collection terminal, and then completing resetting of the line parameters; The system further comprises a first-level fault detection module; The first-level fault detection module is used to receive fault cause instructions, and to acquire first fault data when the fault cause instruction is detected as a fault type; wherein, the first fault data includes any one of the following: gateway momentary interruption, line service life exceeding the limit, clock synchronization abnormality, line parameter non-uniformity, deviation between theoretical and actual line parameters exceeding a threshold, bus voltage extraction error, algorithm not considering grounding resistance, and "T-connection" line; through a preset fault detection formula: Generate predicted causes of failures; among which, This represents the number of lines corresponding to the first fault data. Represents the number of samples. This represents the distance measurement deviation rate for a single line. The system further comprises a second-level fault detection module; The second-level fault detection module is used to acquire line fault tripping data; wherein, the line tripping data includes line ranging deviation rate and second fault data; wherein, the second fault data includes any one of the following: tripping time, tripping area, fault recorder manufacturer, tripping line length, and fault type; through a preset fault detection influence factor formula: The second fault data corresponding to the largest influencing factor is identified as the primary cause of the fault; a fault cause command is generated; wherein, This represents the number of lines corresponding to the second fault data. Represents the number of samples. This represents the distance measurement deviation rate for a single line.

2. The system for reducing the rate of line fault trip misdistance deviation of claim 1, wherein, The system further comprises a system activation module; The system activation module is configured to obtain a single-phase grounding proportion; when the single-phase grounding proportion exceeds a preset threshold value, the system is activated.

3. A method of reducing the rate of line fault trip reach deviation, characterized in that, The method comprises: Receive a fault cause command, and when the fault cause command is detected as a fault type, acquire first fault data; wherein, the first fault data includes any one of the following: gateway momentary interruption, line service life exceeding the limit, clock synchronization abnormality, line parameter non-uniformity, deviation between theoretical and actual line parameters exceeding a threshold, bus voltage extraction error, algorithm not considering grounding resistance, "T-connection" line; through a preset fault detection formula: Generate predicted causes of failures; among which, This represents the number of lines corresponding to the first fault data. Represents the number of samples. This represents the distance measurement deviation rate for a single line. Obtaining line fault tripping data; wherein the line tripping data includes line ranging deviation rate, second fault data; wherein the second fault data includes any one of the following: tripping time, tripping area, fault recorder manufacturer, tripping line length, fault type; through a preset fault detection influence factor formula: , Determine the second fault data corresponding to the maximum influence factor as the main cause of the main fault; Generate fault main cause instruction; wherein, represents the number of lines corresponding to the second fault data, representing the number of samples, representing the ranging deviation rate of a single line; receiving a predicted fault cause; generating an algorithm correction instruction when it is detected that the predicted fault cause is that the algorithm does not consider the grounding resistance; generating a line parameter resetting instruction when it is detected that the predicted fault cause is that the deviation between the line theoretical parameter and the actual parameter exceeds a threshold value; responding to the algorithm correction instruction; establishing a logarithmic model for fault location, selecting preset sample data for multiple iterations until a preset target value is iterated, and then completing correction of the logarithmic model; sending the line parameter resetting instruction to a parameter collection terminal; obtaining actual parameters uploaded by the parameter collection terminal, and then completing resetting of the line parameters.

4. The method of claim 3, wherein, The method further comprises: obtaining a single-phase grounding proportion; when the single-phase grounding proportion exceeds a preset threshold value, obtaining a predicted fault cause.

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