A traveling wave fault location and ranging primary and secondary fusion pole-mounted circuit breaker

Abstract

The present invention belongs to the technical field of circuit breaker fault monitoring, and discloses a traveling wave positioning fault ranging primary and secondary fusion pole-mounted circuit breaker, including a circuit breaker body and a fault monitoring system, wherein the fault monitoring system includes a voltage traveling wave sensor deployment module, a fault positioning module, an environmental impact correction analysis module, a historical experience correction analysis module, a monitoring predicted fault location data correction module, a positioning accuracy analysis module, and a data storage library. The present invention combines the traveling wave positioning fault ranging technology with the primary and secondary fusion pole-mounted circuit breaker, and can quickly capture the traveling wave signal and quickly calculate the location of the fault point based on the time difference. This rapid response capability helps to shorten the fault positioning time and speed up the speed of restoring power supply. By accurately measuring the time difference of the traveling wave reaching different nodes, the location of the fault point can be more accurately calculated. This positioning accuracy helps to reduce the number and scope of on-site inspections and improve operation and maintenance efficiency.

Description

Technical Field

[0001] The invention belongs to the technical field of circuit breaker fault monitoring, and relates to a traveling wave fault location and ranging primary and secondary fusion pole mounted circuit breaker. Background Art

[0002] The primary and secondary fusion pole-mounted circuit breaker is a new type of power equipment that combines traditional primary equipment (such as circuit breakers, disconnectors, etc.) and secondary equipment (such as protection devices, monitoring systems, etc.). Traveling wave fault location and ranging technology uses the characteristics of traveling waves propagating on power lines to locate faults. In actual power systems, the fault processing time directly affects the overall power system stability and power grid operation safety, and thus requires rapid positioning and processing of the fault location. Therefore, the primary and secondary fusion pole-mounted circuit breaker based on traveling wave fault location and ranging is of great significance.

[0003] Traditional pole-mounted circuit breakers usually analyze certain parameters to determine the fault location when locating their own faults. This fault location method reduces the efficiency and accuracy of fault location. Traditional methods often require operation and maintenance personnel to conduct inspections and analyses, which consumes a lot of time and may lead to slow maintenance progress, thereby affecting the stability of power transmission.

[0004] Traditional pole-mounted circuit breakers ignore the impact of environmental and equipment factors on fault location when locating faults. This analysis method may reduce the accuracy and reliability of fault location results. Changes in environmental and equipment factors may introduce additional noise or interference, making the measurement results unstable or unpredictable. This uncertainty will reduce the reliability of fault location results. Failure to accurately consider all factors may result in the need for more manual intervention and on-site inspections, which not only increases maintenance costs, but may also delay fault repair time. Summary of the invention

[0005] In view of this, in order to solve the problems raised in the above background technology, a traveling wave fault location and ranging primary and secondary fusion pole-mounted circuit breaker is proposed.

[0006] The purpose of the present invention can be achieved through the following technical solutions: a traveling wave positioning fault ranging primary and secondary fusion pole-mounted circuit breaker, including a circuit breaker body and a fault monitoring system, and the fault monitoring system is installed on the circuit breaker body, and its fault monitoring system includes: a voltage traveling wave sensor layout module, which is used to record the current circuit breaker as a target circuit breaker, obtain the transmission line path from the target circuit breaker manual, and then layout a number of nodes at equal intervals on the transmission line path, layout a voltage traveling wave sensor at each node, and number each node.

[0007] The fault location module is used to obtain a voltage waveform in real time using a voltage traveling wave sensor, and then perform fault location analysis to obtain estimated fault location data under the current fault, wherein the estimated fault location data includes an estimated fault center point and an estimated deviation radius.

[0008] The environmental impact correction analysis module is used to obtain the environmental data of the target circuit breaker and then analyze the environmental impact correction coefficient.

[0009] The historical experience correction analysis module is used to obtain historical fault location data based on historical power fault records and analyze historical experience correction coefficients.

[0010] The module for monitoring the correction of the predicted fault location data is used to correct the predicted deviation radius based on the environmental impact correction coefficient and the historical experience correction coefficient to obtain the corrected predicted deviation radius under the current fault, and transmit it to the maintenance personnel for maintenance work.

[0011] The positioning accuracy analysis module is used to obtain the actual fault location, and then perform fault positioning accuracy analysis and determine whether the target circuit breaker has fault positioning abnormalities. If so, the specific abnormal tendency is identified, and the abnormal tendency includes single sensor abnormalities and combined sensor abnormalities, and maintenance personnel will perform maintenance.

[0012] A data repository for storing target circuit breaker instructions and historical power fault records.

[0013] In a preferred embodiment of the present invention, the predicted fault location data is specifically analyzed as follows: extract each voltage waveform graph obtained in real time by a voltage traveling wave sensor at each node, then locate each abnormal position of each voltage waveform graph, and obtain each abnormal voltage waveform corresponding to each abnormal position of each voltage waveform graph.

[0014] Each abnormal voltage waveform is evenly distributed to obtain a number of voltage collection points, and then the voltage values ​​corresponding to each voltage collection point in each abnormal voltage waveform are compared, and each maximum voltage value is selected as the voltage peak value in the corresponding abnormal voltage waveform diagram, and then multiplied with the preset reference traveling wave arrival time identification coefficient to obtain the reference abnormal identification voltage value corresponding to each abnormal waveform diagram.

[0015] The voltage value corresponding to each voltage collection point in each abnormal voltage waveform is compared with the reference abnormal identification voltage value corresponding to each abnormal waveform diagram, and the voltage collection point where the voltage value equals or exceeds the reference abnormal identification voltage value for the first time is recorded as the traveling wave arrival monitoring point in each abnormal voltage waveform, and the horizontal coordinate corresponding to the traveling wave arrival monitoring point in each abnormal voltage waveform is marked as the traveling wave arrival time of each abnormal position in the voltage waveform diagram corresponding to each node.

[0016] Each abnormal position in the voltage waveform corresponding to each node is matched to obtain each traveling wave occurrence situation. The traveling wave arrival time of each abnormal position in the voltage waveform corresponding to each node is classified according to the traveling wave occurrence situation to obtain the traveling wave arrival time of each node corresponding to each traveling wave occurrence situation, and then arranged in chronological order to obtain the order of each traveling wave arrival node for each traveling wave occurrence situation. Based on the pre-set designated number of analysis nodes, the nodes to be analyzed are selected according to the traveling wave arrival node order to obtain a number of nodes to be analyzed, and the nodes to be analyzed for each traveling wave occurrence situation are numbered according to the order of the traveling wave arrival time.

[0017] The difference between the arrival time of the traveling wave of the i+1th node to be analyzed and the arrival time of the traveling wave of the i-th node to be analyzed is calculated to obtain the arrival time difference ΔT between the i-th node to be analyzed and the i+1th node to be analyzed. i→i+1 .

[0018] The arrival time difference of each traveling wave ΔT i→i+1 Substitute into the analysis formula Get the position deviation D corresponding to each node to be analyzed i , where S i represents the distance between the i-th node to be analyzed and the i+1-th node to be analyzed, v represents the speed of the traveling wave, i represents the number of the node to be analyzed, i=1, 2...a, a represents the number of nodes to be analyzed.

[0019] Based on the position deviation corresponding to each node to be analyzed, the expected fault center point corresponding to each node to be analyzed under the current fault is obtained, and the expected fault center points corresponding to each node to be analyzed are connected and the length of the connection between the expected fault center points corresponding to each node to be analyzed is obtained. Then, the center point of the connection corresponding to the maximum connection length is selected as the expected fault center point under the current fault, and the maximum connection length is used as the expected deviation radius under the current fault.

[0020] In a preferred embodiment of the present invention, the environmental data of the target circuit breaker includes a temperature deviation index and a magnetic field strength deviation index, which is specifically analyzed as follows: a temperature sensor is used to obtain the temperature at the location of the target circuit breaker, and then a difference is calculated with a preset reference temperature to obtain a temperature deviation, and the absolute value of the temperature deviation is calculated by ratio with the reference temperature to obtain the temperature deviation index of the target circuit breaker.

[0021] The magnetic field strength monitoring sensor is used to obtain the magnetic field strength at the location of the target circuit breaker, and then the difference between the magnetic field strength and the preset reference magnetic field strength is calculated to obtain the magnetic field strength deviation. The absolute value of the magnetic field strength deviation is calculated by ratio with the reference magnetic field strength to obtain the magnetic field strength deviation index of the target circuit breaker.

[0022] In a preferred embodiment of the present invention, the environmental impact correction coefficient is specifically analyzed as follows: the temperature deviation index and the magnetic field strength deviation index of the target circuit breaker are summed up according to the weight to obtain the environmental impact correction coefficient.

[0023] In a preferred embodiment of the present invention, the historical fault location data specifically includes a location deviation index and a location compliance index, and the specific analysis is as follows: extract each historical power fault record, and obtain the expected fault center point, expected deviation radius and actual fault location corresponding to each historical power fault record.

[0024] The distance between the actual fault location and the expected fault center point corresponding to each historical power fault record is obtained, and then the difference between it and the preset reference deviation distance is calculated to obtain the positioning deviation amount corresponding to each historical power fault record, and then the positioning deviation amount corresponding to each historical power fault record and the reference deviation distance are calculated to obtain the positioning deviation index corresponding to each historical power fault record, and then the average is calculated to obtain the positioning deviation index.

[0025] Based on the expected fault center point and the expected deviation radius corresponding to each historical power fault record, the expected fault area corresponding to each historical fault record is obtained. The number of historical power fault records with actual fault locations within the expected fault area is counted and recorded as the number of successful monitoring, and the number of each historical power fault record is counted and recorded as the number of monitoring. The ratio of the number of successful monitoring to the number of monitoring is calculated to obtain the positioning compliance index.

[0026] In a preferred embodiment of the present invention, the historical experience correction coefficient is specifically analyzed as follows: the positioning deviation index and the positioning target index are calculated according to the weights to obtain the historical experience correction coefficient.

[0027] In a preferred embodiment of the present invention, the corrected estimated deviation radius is specifically analyzed as follows: the environmental impact correction coefficient and the historical experience correction coefficient are summed up according to the weight to obtain the estimated deviation radius correction coefficient.

[0028] The expected deviation radius correction coefficient is multiplied by the expected deviation radius under the current fault to obtain the expected deviation radius correction value under the current fault, which is then compared with the preset expected deviation radius correction value threshold to obtain the deviation radius correction value, and the deviation radius correction value and the expected deviation radius are summed to obtain the corrected expected deviation radius under the current fault.

[0029] In a preferred embodiment of the present invention, the fault location accuracy analysis process requires the construction of a sensor fault location accuracy index and a sensor combination fault location accuracy index, specifically as follows: extracting the actual fault location, the expected fault center point corresponding to each node to be analyzed under the current fault, and the expected fault center point under the current fault.

[0030] The distance from the actual fault location to the expected fault center point corresponding to each node to be analyzed is recorded as the monitoring deviation distance corresponding to each node to be analyzed, and then the average monitoring deviation distance is calculated. The monitoring deviation distance corresponding to each node to be analyzed and the average monitoring deviation distance are calculated by difference to obtain the monitoring deviation distance deviation amount corresponding to each node to be analyzed under the current fault, and then the sensor fault location accuracy index corresponding to each node to be analyzed under the current fault is obtained based on the monitoring deviation distance deviation amount corresponding to each node to be analyzed under the current fault.

[0031] The distance from the actual fault location to the expected fault center point under the current fault is obtained, and then the sensor combination fault location accuracy index under the current fault is obtained by combining the corrected expected deviation radius under the current fault.

[0032] In a preferred embodiment of the present invention, the determination of whether a target circuit breaker has a fault location abnormality is specifically as follows: the sensor combination fault location accuracy index under the current fault is compared with a preset fault location accuracy index threshold to obtain a determination result of whether a fault location abnormality occurs.

[0033] In a preferred embodiment of the present invention, the identification of specific abnormal tendencies is specifically as follows: the sensor fault location accuracy index corresponding to each node to be analyzed under the current fault is compared with a preset fault location accuracy index threshold. If the sensor fault location accuracy index corresponding to a node to be analyzed is less than the fault location accuracy index threshold, the specific abnormal tendency is a single sensor abnormality. If the sensor fault location accuracy index corresponding to each node to be analyzed is greater than or equal to the fault location accuracy index threshold, the specific abnormal tendency is a combined sensor abnormality.

[0034] Compared with the prior art, the beneficial effects of the present invention are as follows: (1) The present invention analyzes the corresponding expected fault center point based on the arrival time difference of the traveling waves of multiple nodes to be analyzed, and then analyzes the expected fault center point and the expected deviation radius of the current fault. This analysis method can reduce the impact of possible errors of a single node to be analyzed on the results. The comprehensive analysis of multi-point data can improve the reliability and accuracy of positioning, and can reduce the impact of environmental factors on the positioning results. This method can maintain stable positioning performance under different environmental conditions.

[0035] (2) When performing estimated deviation radius analysis, the present invention analyzes the environmental impact correction factor and the historical experience correction factor, and then corrects the estimated deviation radius. This analysis method helps to reduce positioning errors and improve the accuracy of fault location. At the same time, it can take into account the impact of equipment aging, help ensure that the performance of fault location does not deteriorate over time, and ensure that operation and maintenance personnel can quickly determine the area that needs to be inspected, which helps to reduce operation and maintenance costs and improve operation and maintenance efficiency.

[0036] (3) The present invention combines the traveling wave fault location and ranging technology with the primary and secondary fusion pole-mounted circuit breaker. The traveling wave location technology can quickly capture the traveling wave signal and quickly calculate the location of the fault point based on the time difference. This rapid response capability helps to shorten the fault location time and speed up the power supply restoration. By accurately measuring the time difference between the traveling wave reaching different nodes, the location of the fault point can be calculated more accurately. This positioning accuracy helps to reduce the number and scope of on-site inspections and improve operation and maintenance efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for describing the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0038] Figure 1 It is a schematic diagram of the connection of each module of the system of the present invention.

[0039] Figure 2 This is a schematic structural diagram of a pole-mounted circuit breaker device provided by the present invention.

[0040] Figure 3 A schematic diagram of the traveling wave fault location and fault ranging method provided by the present invention.

[0041] Reference numerals: 1—node to be analyzed, 2—distance between nodes to be analyzed, 3—fault location. DETAILED DESCRIPTION

[0042] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0043] See also Figure 2As shown, the present invention provides a traveling wave fault location and ranging primary and secondary fusion pole mounted circuit breaker, including a circuit breaker body and a fault monitoring system, see Figure 1 As shown, the fault monitoring system includes a voltage traveling wave sensor deployment module, a fault location module, an environmental impact correction analysis module, a historical experience correction analysis module, a monitoring expected fault location data correction module, a positioning accuracy analysis module and a data storage library, wherein the voltage traveling wave sensor deployment module is connected to the fault location module, the fault location module, the environmental impact correction analysis module and the historical experience correction analysis module are all connected to the monitoring expected fault location data correction module, and the monitoring expected fault location data correction module is connected to the positioning accuracy analysis module.

[0044] The voltage traveling wave sensor layout module is used to record the current circuit breaker as the target circuit breaker, obtain the transmission line path from the target circuit breaker manual, and then layout a number of nodes at equal intervals on the transmission line path, layout a voltage traveling wave sensor at each node, and number each node.

[0045] The fault location module is used to obtain a voltage waveform diagram in real time using a voltage traveling wave sensor, and then perform fault location analysis to obtain estimated fault location data under the current fault, wherein the estimated fault location data includes an estimated fault center point and an estimated deviation radius.

[0046] Preferably, the predicted fault location data is specifically analyzed as follows: Figure 3 As shown, each voltage waveform graph obtained in real time by using a voltage traveling wave sensor at each node is extracted, and then each abnormal position of each voltage waveform graph is located, and each abnormal voltage waveform corresponding to each abnormal position of each voltage waveform graph is obtained.

[0047] It should be noted that the abnormal position of the voltage waveform diagram refers to the position where the voltage waveform amplitude increases abnormally.

[0048] Each abnormal voltage waveform is evenly distributed to obtain a number of voltage collection points, and then the voltage values ​​corresponding to each voltage collection point in each abnormal voltage waveform are compared, and each maximum voltage value is selected as the voltage peak value in the corresponding abnormal voltage waveform diagram, and then multiplied with the preset reference traveling wave arrival time identification coefficient to obtain the reference abnormal identification voltage value corresponding to each abnormal waveform diagram.

[0049] Exemplarily, the reference traveling wave arrival time identification coefficient is 0.5.

[0050] The voltage value corresponding to each voltage collection point in each abnormal voltage waveform is compared with the reference abnormal identification voltage value corresponding to each abnormal waveform diagram, and the voltage collection point where the voltage value equals or exceeds the reference abnormal identification voltage value for the first time is recorded as the traveling wave arrival monitoring point in each abnormal voltage waveform, and the horizontal coordinate corresponding to the traveling wave arrival monitoring point in each abnormal voltage waveform is marked as the traveling wave arrival time of each abnormal position in the voltage waveform diagram corresponding to each node.

[0051] It should be noted that the purpose of analyzing the reference abnormality identification voltage values ​​corresponding to the voltage peaks in different abnormal voltage waveforms is to obtain the traveling wave arrival times corresponding to the different abnormal voltage waveforms.

[0052] It should be noted that in practice, the increase in voltage when the traveling wave arrives is approximately instantaneous, but there is still a rising period. In the present invention, the time corresponding to the first arrival of half the voltage peak is recorded as the traveling wave arrival time.

[0053] Each abnormal position in the voltage waveform corresponding to each node is matched to obtain each traveling wave occurrence situation. The traveling wave arrival time of each abnormal position in the voltage waveform corresponding to each node is classified according to the traveling wave occurrence situation to obtain the traveling wave arrival time of each node corresponding to each traveling wave occurrence situation, and then arranged in chronological order to obtain the order of each traveling wave arrival node for each traveling wave occurrence situation. Based on the pre-set designated number of analysis nodes, the nodes to be analyzed are selected according to the traveling wave arrival node order to obtain a number of nodes to be analyzed, and the nodes to be analyzed for each traveling wave occurrence situation are numbered according to the order of the traveling wave arrival time.

[0054] It should be noted that the reason for selecting the nodes to be analyzed based on the pre-set number of designated analysis nodes and the order in which the traveling wave arrives at the nodes is: in practice, when a fault occurs, the traveling wave starts from the fault location and transmits bidirectionally, first reaching the node location closest to it. At the same time, the traveling wave gradually distorts as the distance increases. Therefore, selecting the nearest node can more accurately locate the fault.

[0055] Exemplarily, the number of analysis nodes is specified to be 3.

[0056] The difference between the arrival time of the traveling wave of the i+1th node to be analyzed and the arrival time of the traveling wave of the i-th node to be analyzed is calculated to obtain the arrival time difference ΔT between the i-th node to be analyzed and the i+1th node to be analyzed. i→i+1 .

[0057] The arrival time difference of each traveling wave ΔT i→i+1 Substitute into the analysis formula Get the position deviation D corresponding to each node to be analyzed i , where S irepresents the distance between the i-th node to be analyzed and the i+1-th node to be analyzed, v represents the speed of the traveling wave, i represents the number of the node to be analyzed, i=1, 2...a, a represents the number of nodes to be analyzed.

[0058] It should be explained that the traveling wave velocity v refers to the speed at which the traveling wave propagates on the power line. The propagation speed of the traveling wave is relatively fast, close to 60%-70% of the speed of light. The specific speed depends on factors such as the dielectric constant of the power line, the conductor spacing, and the conductor material. The specific analysis formula is: Where c represents the speed of light, μ represents the magnetic permeability corresponding to the conductor material, and ε represents the dielectric constant corresponding to the conductor material.

[0059] It should be noted that the nodes in the present invention are arranged at equal intervals, and the speed of the traveling wave remains relatively unchanged when it is transmitted in the transmission line. Therefore, when selecting the nodes to be analyzed, each adjacent node to be analyzed is located on both sides of the fault position.

[0060] It should be further explained that the position deviation D corresponding to the i-th node to be analyzed is obtained by analysis. i It refers to the distance between the i-th node to be analyzed and the fault location. At the same time, the fault location is between the i-th node to be analyzed and the i+1-th node to be analyzed.

[0061] Based on the position deviation corresponding to each node to be analyzed, the expected fault center point corresponding to each node to be analyzed under the current fault is obtained, and the expected fault center points corresponding to each node to be analyzed are connected and the length of the connection between the expected fault center points corresponding to each node to be analyzed is obtained. Then, the center point of the connection corresponding to the maximum connection length is selected as the expected fault center point under the current fault, and the maximum connection length is used as the expected deviation radius under the current fault.

[0062] It should be noted that the present invention analyzes the corresponding expected fault center point based on the travel wave arrival time difference of multiple nodes to be analyzed, and then analyzes the expected fault center point and the expected deviation radius of the current fault. This analysis method can reduce the impact of possible errors in a single node to be analyzed on the results. The comprehensive analysis of multi-point data can improve the reliability and accuracy of positioning, and can reduce the impact of environmental factors on positioning results. This method can maintain stable positioning performance under different environmental conditions.

[0063] The environmental impact correction analysis module is used to obtain environmental data of the target circuit breaker and then analyze the environmental impact correction coefficient.

[0064] Preferably, the environmental data of the target circuit breaker includes a temperature deviation index and a magnetic field strength deviation index, which is specifically analyzed as follows: a temperature sensor is used to obtain the temperature at the location of the target circuit breaker, and then a difference calculation is performed with a preset reference temperature to obtain a temperature deviation amount, and the absolute value of the temperature deviation amount is calculated by ratio with the reference temperature to obtain the temperature deviation index of the target circuit breaker.

[0065] It should be explained that the reference temperature of the target circuit breaker refers to a standard temperature value set when locating a fault or evaluating the performance of the circuit breaker. The reference temperature is usually specified by the manufacturer or relevant standards. For example, the reference temperature is 30°C.

[0066] The magnetic field strength monitoring sensor is used to obtain the magnetic field strength at the location of the target circuit breaker, and then the difference between the magnetic field strength and the preset reference magnetic field strength is calculated to obtain the magnetic field strength deviation. The absolute value of the magnetic field strength deviation is calculated by ratio with the reference magnetic field strength to obtain the magnetic field strength deviation index of the target circuit breaker.

[0067] It should be explained that the reference magnetic field strength of the target circuit breaker refers to a reference magnetic field strength value used when evaluating circuit breaker performance or locating faults. The reference magnetic field strength is usually specified by the manufacturer or relevant standards. For example, the reference magnetic field strength is 0.1 mT.

[0068] It should be noted that the reasons for selecting the temperature deviation index and the magnetic field strength deviation index as the factors affecting the environmental impact correction coefficient of the target circuit breaker are: 1. Changes in temperature will affect the physical properties of the power line material, especially the dielectric constant and thermal expansion coefficient. Increased temperature will cause the dielectric constant to decrease, thereby affecting the propagation speed of the traveling wave. Changes in the traveling wave speed will affect the accuracy of fault location. 2. The presence of a magnetic field may interfere with the propagation of the traveling wave signal. A strong magnetic field may cause distortion or attenuation of the traveling wave signal, affecting the accuracy of fault location. The magnetic field may interfere with the signal acquisition of the sensor, resulting in measurement errors.

[0069] Preferably, the environmental impact correction coefficient is specifically analyzed as follows: the temperature deviation index and the magnetic field strength deviation index of the target circuit breaker are summed up according to the weight to obtain the environmental impact correction coefficient.

[0070] Exemplarily, the weights of the temperature deviation index and the magnetic field strength deviation index of the target circuit breaker are 0.4 and 0.6.

[0071] The historical experience correction analysis module is used to obtain historical fault location data based on historical power fault records and analyze historical experience correction coefficients.

[0072] Preferably, the historical fault location data specifically includes a location deviation index and a location compliance index, and the specific analysis is as follows: extract each historical power fault record, and obtain the expected fault center point, expected deviation radius and actual fault location corresponding to each historical power fault record.

[0073] The distance between the actual fault location and the expected fault center point corresponding to each historical power fault record is obtained, and then the difference between it and the preset reference deviation distance is calculated to obtain the positioning deviation amount corresponding to each historical power fault record, and then the positioning deviation amount corresponding to each historical power fault record and the reference deviation distance are calculated to obtain the positioning deviation index corresponding to each historical power fault record, and then the average is calculated to obtain the positioning deviation index.

[0074] Exemplarily, the reference offset distance is 10 cm.

[0075] Based on the expected fault center point and the expected deviation radius corresponding to each historical power fault record, the expected fault area corresponding to each historical fault record is obtained. The number of historical power fault records with actual fault locations within the expected fault area is counted and recorded as the number of successful monitoring, and the number of each historical power fault record is counted and recorded as the number of monitoring. The ratio of the number of successful monitoring to the number of monitoring is calculated to obtain the positioning compliance index.

[0076] It should be noted that the expected fault area refers to a circular area with the expected fault center point as the center and the expected deviation radius as the radius.

[0077] Preferably, the historical experience correction coefficient is specifically analyzed as follows: the positioning deviation index and the positioning target index are calculated according to the weights to obtain the historical experience correction coefficient.

[0078] It should be added that the positioning deviation index Substitute the positioning target index θ into the formula Get the historical experience correction coefficient λ 历史 , where α1 and α2 represent the influence weights of the positioning deviation index and the positioning target index respectively, and α1=0.4 and α2=0.6 are exemplified.

[0079] The monitoring predicted fault location data correction module is used to correct the predicted deviation radius based on the environmental impact correction coefficient and the historical experience correction coefficient to obtain the corrected predicted deviation radius under the current fault, and transmit it to the maintenance personnel for maintenance work.

[0080] Preferably, the corrected estimated deviation radius is specifically analyzed as follows: the environmental impact correction coefficient and the historical experience correction coefficient are summed up according to the weight to obtain the estimated deviation radius correction coefficient.

[0081] Exemplarily, the weights of the environmental impact correction factor and the historical experience correction factor are 0.45 and 0.55 respectively.

[0082] It should be noted that the present invention analyzes the environmental impact correction coefficient and the historical experience correction coefficient when performing the estimated deviation radius analysis, and then corrects the estimated deviation radius. This analysis method helps to reduce positioning errors and improve the accuracy of fault location. At the same time, it can take into account the impact of equipment aging, help ensure that the performance of fault location does not deteriorate over time, and ensure that operation and maintenance personnel can quickly determine the areas that need to be inspected, which helps to reduce operation and maintenance costs and improve operation and maintenance efficiency.

[0083] The expected deviation radius correction coefficient is multiplied by the expected deviation radius under the current fault to obtain the expected deviation radius correction value under the current fault, which is then compared with the preset expected deviation radius correction value threshold to obtain the deviation radius correction value, and the deviation radius correction value and the expected deviation radius are summed to obtain the corrected expected deviation radius under the current fault.

[0084] It should be added that the deviation radius correction is identified as follows: the predicted deviation radius correction under the current fault is compared with the preset predicted deviation radius correction threshold; if the predicted deviation radius correction under the current fault is greater than the predicted deviation radius correction threshold, the predicted deviation radius correction threshold is used as the deviation radius correction; if the predicted deviation radius correction under the current fault is less than or equal to the predicted deviation radius correction threshold, the predicted deviation radius correction under the current fault is used as the deviation radius correction.

[0085] The positioning accuracy analysis module is used to obtain the actual fault location, and then perform fault positioning accuracy analysis and determine whether the target circuit breaker has fault positioning abnormality. If so, the specific abnormal tendency is identified, and the abnormal tendency includes single sensor abnormality and combined sensor abnormality, and maintenance personnel will perform maintenance.

[0086] Preferably, the fault location accuracy analysis process requires constructing a sensor fault location accuracy index and a sensor combination fault location accuracy index, specifically as follows: extracting the actual fault location, the expected fault center point corresponding to each node to be analyzed under the current fault, and the expected fault center point under the current fault.

[0087] The distance from the actual fault location to the expected fault center point corresponding to each node to be analyzed is recorded as the monitoring deviation distance corresponding to each node to be analyzed, and then the average monitoring deviation distance is calculated. The monitoring deviation distance corresponding to each node to be analyzed and the average monitoring deviation distance are calculated by difference to obtain the monitoring deviation distance deviation amount corresponding to each node to be analyzed under the current fault, and then the sensor fault location accuracy index corresponding to each node to be analyzed under the current fault is obtained based on the monitoring deviation distance deviation amount corresponding to each node to be analyzed under the current fault.

[0088] The distance from the actual fault location to the expected fault center point under the current fault is obtained, and then the sensor combination fault location accuracy index under the current fault is obtained by combining the corrected expected deviation radius under the current fault.

[0089] It should be supplemented that the distance from the actual fault location to the expected fault center point under the current fault is calculated by difference with the corrected expected deviation radius to obtain the actual deviation distance under the current fault, and then the ratio is calculated with the corrected expected deviation radius to obtain the sensor combination fault location accuracy index under the current fault.

[0090] Preferably, the determining whether the target circuit breaker has a fault location abnormality is specifically as follows: comparing the sensor combination fault location accuracy index under the current fault with a preset fault location accuracy index threshold to obtain a determination result of whether a fault location abnormality has occurred.

[0091] Exemplarily, the fault location accuracy index threshold is 0.75.

[0092] It should be added that if the sensor combination fault location accuracy index under the current fault is less than the fault location accuracy index threshold, it is judged that a fault location abnormality has occurred; if the sensor combination fault location accuracy index under the current fault is greater than or equal to the fault location accuracy index threshold, it is judged that no fault location abnormality has occurred.

[0093] Preferably, the identification of specific abnormal tendency is as follows: comparing the sensor fault location accuracy index corresponding to each node to be analyzed under the current fault with a preset fault location accuracy index threshold; if the sensor fault location accuracy index corresponding to a certain node to be analyzed is less than the fault location accuracy index threshold, the specific abnormal tendency is a single sensor abnormality; if the sensor fault location accuracy index corresponding to each node to be analyzed is greater than or equal to the fault location accuracy index threshold, the specific abnormal tendency is a combined sensor abnormality.

[0094] It should be added that different processing methods can be adopted for different types of abnormal tendencies. For example, if the abnormal tendency is a single sensor abnormality, the abnormal sensor should be replaced. If the abnormal tendency is a combined sensor abnormality, the fault monitoring system needs to be repaired or upgraded.

[0095] The data repository is used to store target circuit breaker instructions and historical power fault records.

[0096] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they shall all fall within the protection scope of the present invention.

Claims

1. A traveling wave fault location and ranging primary and secondary fusion pole mounted circuit breaker, characterized in that: It includes a circuit breaker body and a fault monitoring system, and the fault monitoring system is installed on the circuit breaker body, and the fault monitoring system includes: The voltage traveling wave sensor layout module is used to record the current circuit breaker as the target circuit breaker, obtain the transmission line path from the target circuit breaker manual, and then layout a number of nodes at equal intervals on the transmission line path, layout the voltage traveling wave sensor at each node, and number each node; A fault location module is used to obtain a voltage waveform in real time using a voltage traveling wave sensor, and then perform fault location analysis to obtain the estimated fault location data under the current fault, wherein the estimated fault location data includes an estimated fault center point and an estimated deviation radius; the estimated fault center point is obtained based on the position deviation amount corresponding to each node to be analyzed, and the position deviation amount is generated based on the arrival time difference of the traveling waves of multiple nodes; the estimated deviation radius is determined based on the maximum connection length between the estimated fault center points corresponding to each node to be analyzed; An environmental impact correction analysis module is used to obtain environmental data of the target circuit breaker and then analyze the environmental impact correction coefficient; A historical experience correction analysis module is used to obtain historical fault location data based on historical power fault records and analyze historical experience correction coefficients; The monitoring predicted fault location data correction module is used to generate a predicted deviation radius correction coefficient through dynamic weighted summation based on the environmental impact correction coefficient and the historical experience correction coefficient, correct the predicted deviation radius, and then obtain the corrected predicted deviation radius under the current fault, and transmit it to the maintenance personnel for maintenance operations; Positioning accuracy analysis module, used to obtain the actual fault location, and then perform fault location accuracy analysis and determine whether the target circuit breaker has fault location abnormality. If so, identify the specific abnormal tendency, which includes single sensor abnormality and combined sensor abnormality, and require maintenance personnel to perform maintenance; A data repository for storing target circuit breaker instructions and historical power fault records.

2. A traveling wave fault location and ranging primary and secondary fusion pole mounted circuit breaker as claimed in claim 1, characterized in that: The predicted fault location data is specifically analyzed as follows: Extract each voltage waveform graph obtained in real time by using a voltage traveling wave sensor at each node, then locate each abnormal position of each voltage waveform graph, and obtain each abnormal voltage waveform corresponding to each abnormal position of each voltage waveform graph; Each abnormal voltage waveform is evenly distributed to obtain a number of voltage collection points, and then the voltage values ​​corresponding to each voltage collection point in each abnormal voltage waveform are compared, and each maximum voltage value is selected as the voltage peak value in the corresponding abnormal voltage waveform diagram, and then the product is calculated with the preset reference traveling wave arrival time identification coefficient to obtain the reference abnormal identification voltage value corresponding to each abnormal waveform diagram; Compare the voltage value corresponding to each voltage collection point in each abnormal voltage waveform with the reference abnormal identification voltage value corresponding to each abnormal waveform diagram, record the voltage collection point where the voltage value is equal to or greater than the reference abnormal identification voltage value for the first time as the traveling wave arrival monitoring point in each abnormal voltage waveform, and mark the horizontal coordinate corresponding to the traveling wave arrival monitoring point in each abnormal voltage waveform as the traveling wave arrival time of each abnormal position in the voltage waveform diagram corresponding to each node; Match each abnormal position in the voltage waveform diagram corresponding to each node to obtain each traveling wave occurrence situation, classify the traveling wave arrival time of each abnormal position in the voltage waveform diagram corresponding to each node according to the traveling wave occurrence situation to obtain the traveling wave arrival time of each node corresponding to each traveling wave occurrence situation, and then arrange them in chronological order to obtain the order of each traveling wave arrival node for each traveling wave occurrence situation, select the nodes to be analyzed according to the traveling wave arrival node order based on the preset designated analysis node number to obtain a number of nodes to be analyzed, and number the nodes to be analyzed for each traveling wave occurrence situation according to the order of the traveling wave arrival time; The first The arrival time of the traveling wave of the node to be analyzed is The arrival time of the traveling wave of the nodes to be analyzed is calculated by difference calculation to obtain the The node to be analyzed and The arrival time difference of the traveling wave between the nodes to be analyzed ; The arrival time difference of each traveling wave Substitute into the analysis formula Get the position deviation corresponding to each node to be analyzed ,in Indicates The node to be analyzed and The distance between the nodes to be analyzed, is the speed of the traveling wave, Indicates the node number to be analyzed. , Indicates the number of nodes to be analyzed; Based on the position deviation corresponding to each node to be analyzed, the expected fault center point corresponding to each node to be analyzed under the current fault is obtained, and the expected fault center points corresponding to each node to be analyzed are connected and the length of the connection between the expected fault center points corresponding to each node to be analyzed is obtained. Then, the center point of the connection corresponding to the maximum connection length is selected as the expected fault center point under the current fault, and the maximum connection length is used as the expected deviation radius under the current fault.

3. A traveling wave fault location and ranging primary and secondary fusion pole mounted circuit breaker as claimed in claim 1, characterized in that: The environmental data of the target circuit breaker includes a temperature deviation index and a magnetic field strength deviation index, and the specific analysis is as follows: The temperature of the target circuit breaker is obtained by using a temperature sensor, and then the temperature deviation is obtained by calculating the difference between the temperature deviation and the preset reference temperature, and the temperature deviation index of the target circuit breaker is obtained by calculating the ratio of the absolute value of the temperature deviation to the reference temperature; The magnetic field strength monitoring sensor is used to obtain the magnetic field strength at the location of the target circuit breaker, and then the difference between the magnetic field strength and the preset reference magnetic field strength is calculated to obtain the magnetic field strength deviation. The absolute value of the magnetic field strength deviation is calculated by ratio with the reference magnetic field strength to obtain the magnetic field strength deviation index of the target circuit breaker.

4. A traveling wave fault location and ranging primary and secondary fusion pole mounted circuit breaker as claimed in claim 3, characterized in that: The environmental impact correction factor is specifically analyzed as follows: The temperature deviation index and the magnetic field strength deviation index of the target circuit breaker are summed up according to the weights to obtain the environmental impact correction coefficient.

5. A traveling wave fault location and ranging primary and secondary fusion pole mounted circuit breaker as claimed in claim 1, characterized in that: The historical fault location data specifically includes a location deviation index and a location compliance index, which are specifically analyzed as follows: Extract each historical power fault record, and obtain the expected fault center point, expected deviation radius and actual fault location corresponding to each historical power fault record; Obtain the distance between the actual fault location and the expected fault center point corresponding to each historical power fault record, and then perform difference calculation between the actual fault location and the preset reference deviation distance to obtain the positioning deviation amount corresponding to each historical power fault record, and then perform ratio calculation between the positioning deviation amount corresponding to each historical power fault record and the reference deviation distance to obtain the positioning deviation index corresponding to each historical power fault record, and then perform average calculation to obtain the positioning deviation index; Based on the expected fault center point and the expected deviation radius corresponding to each historical power fault record, the expected fault area corresponding to each historical fault record is obtained. The number of historical power fault records with actual fault locations within the expected fault area is counted and recorded as the number of successful monitoring, and the number of each historical power fault record is counted and recorded as the number of monitoring. The ratio of the number of successful monitoring to the number of monitoring is calculated to obtain the positioning compliance index.

6. A traveling wave fault location and ranging primary and secondary fusion pole mounted circuit breaker as claimed in claim 5, characterized in that: The historical experience correction coefficient is specifically analyzed as follows: The positioning deviation index and positioning target achievement index are calculated according to the weights to obtain the historical experience correction coefficient.

7. A traveling wave fault location and ranging primary and secondary fusion pole mounted circuit breaker as claimed in claim 1, characterized in that: The corrected estimated deviation radius is specifically analyzed as follows: The environmental impact correction factor and the historical experience correction factor are summed up according to the weights to obtain the estimated deviation radius correction factor; The expected deviation radius correction coefficient is multiplied by the expected deviation radius under the current fault to obtain the expected deviation radius correction value under the current fault, which is then compared with the preset expected deviation radius correction value threshold to obtain the deviation radius correction value, and the deviation radius correction value and the expected deviation radius are summed to obtain the corrected expected deviation radius under the current fault.

8. A traveling wave fault location and ranging primary and secondary fusion pole mounted circuit breaker as claimed in claim 7, characterized in that: The fault location accuracy analysis process needs to construct the sensor fault location accuracy index and the sensor combination fault location accuracy index, which are as follows: Extract the actual fault location, the predicted fault center point corresponding to each node to be analyzed under the current fault, and the predicted fault center point under the current fault; The distance from the actual fault location to the estimated fault center point corresponding to each node to be analyzed is recorded as the monitoring deviation distance corresponding to each node to be analyzed, and then the average is calculated to obtain the average monitoring deviation distance. The monitoring deviation distance corresponding to each node to be analyzed and the average monitoring deviation distance are calculated to obtain the monitoring deviation distance deviation amount corresponding to each node to be analyzed under the current fault, and then the sensor fault location accuracy index corresponding to each node to be analyzed under the current fault is obtained based on the monitoring deviation distance deviation amount corresponding to each node to be analyzed under the current fault; The distance from the actual fault location to the expected fault center point under the current fault is obtained, and then the sensor combination fault location accuracy index under the current fault is obtained by combining the corrected expected deviation radius under the current fault.

9. A traveling wave fault location and ranging primary and secondary fusion pole mounted circuit breaker as claimed in claim 8, characterized in that: The specific method of determining whether a target circuit breaker has a fault location abnormality is as follows: The sensor combination fault location accuracy index under the current fault is compared with the preset fault location accuracy index threshold to obtain a judgment result on whether the fault location abnormality occurs.

10. A traveling wave fault location and ranging primary and secondary fusion pole mounted circuit breaker as claimed in claim 9, characterized in that: The specific abnormal tendency identified is as follows: The sensor fault location accuracy index corresponding to each node to be analyzed under the current fault is compared with the pre-set fault location accuracy index threshold. If the sensor fault location accuracy index corresponding to a node to be analyzed is less than the fault location accuracy index threshold, the specific abnormal tendency is a single sensor abnormality. If the sensor fault location accuracy index corresponding to each node to be analyzed is greater than or equal to the fault location accuracy index threshold, the specific abnormal tendency is a combined sensor abnormality.

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