Method, device and equipment for positioning interference source outside switch cabinet of transformer substation and medium

Abstract

The invention discloses a method, a device and equipment for positioning an interference source outside a switch cabinet of a transformer substation, and a medium, relates to the technical field of transformer substation monitoring, and can improve the positioning accuracy and positioning efficiency of the interference source outside the switch cabinet. According to the scheme, the method comprises the steps that partial discharge data collected by each sensor are obtained, the partial discharge data comprise interference source data, the sensors are double-ultrasonic partial discharge sensors, and a plurality of sensors are deployed in a transformer substation and are divided into a benchmark sensor and at least two reference sensors; determining an interference signal according to partial discharge data collected in a preset time period, and obtaining a first time when each reference sensor collects the interference signal and a second time when the reference sensor collects the interference signal; and determining the position of the interference source according to each first time, the second time, the preset transmission speed of the interference signal, the first position of each reference sensor and the second position of the reference sensor.

Description

Technical Field

[0001] The present application relates to the technical field of substation monitoring, and in particular to a method, device, equipment and medium for locating an interference source outside a substation switch cabinet. Background Art

[0002] Currently, during the operation and maintenance of substations, the failure rate of high-voltage switchgear remains high. According to statistics, high-voltage switchgear is one of the equipment in substations that is more prone to failure, and the failure rate of high-voltage switchgear accounts for 30%-50% of the overall failure rate of substation equipment.

[0003] Currently, substation equipment status management and status monitoring operations rely heavily on manual labor. With a severely insufficient manpower-to-station ratio, overdue work and missed inspections are inevitable. When monitoring high-voltage switchgear, if monitoring data, such as partial discharge data, is affected by external interference and anomalies occur, it's difficult to accurately determine the interference source within the substation, making it difficult to locate and eliminate it. Summary of the Invention

[0004] The present application provides a method, device, equipment and medium for locating interference sources outside a substation switch cabinet, which can improve the positioning accuracy and efficiency of interference sources outside the switch cabinet.

[0005] In order to achieve the above objectives, this application adopts the following technical solutions: In a first aspect of an embodiment of the present application, an embodiment of the present application provides a method for locating an interference source outside a substation switch cabinet, the method comprising: Obtaining partial discharge data collected by each sensor, wherein the partial discharge data includes interference source data, wherein the sensor is a dual ultrasonic partial discharge sensor, and the substation is equipped with multiple sensors, wherein the multiple sensors are divided into a baseline sensor and at least two reference sensors; Determining an interference signal based on partial discharge data collected within a preset time period, and obtaining a first time when each of the benchmark sensors collects the interference signal, and a second time when the reference sensor collects the interference signal; The interference source position is determined according to each of the first time, the second time, a preset transmission speed of the interference signal, the first position of each of the benchmark sensors, and the second position of the reference sensor.

[0006] As a possible implementation manner, determining the interference signal based on the partial discharge data collected within a preset time period includes: The partial discharge data collected within a preset time period generate a partial discharge spectrum, wherein the partial discharge spectrum includes partial discharge pulse signals corresponding to a plurality of partial discharge data received within the preset time period at a preset frequency; Acquire signal characteristics of each partial discharge pulse signal, and determine the partial discharge pulse signals with the same signal characteristics as the interference signal, wherein the signal characteristics include: amplitude dispersion, positive and negative semi-axis symmetry, number of peaks, number of troughs, comparison of 50 Hz and 100 Hz frequency components, number of discharges, and discharge interval.

[0007] As a possible implementation manner, determining the interference source position according to each of the first time, the second time, a preset transmission speed of the interference signal, the first position of each of the reference sensors, and the second position of the reference sensor includes: Obtaining a time difference between each of the first time and the second time; determining a plurality of distance differences according to each of the time differences and a transmission speed of the interference signal, the plurality of distance differences being a difference between a distance from the interference signal to each of the reference sensors and a distance from the interference signal to the reference sensor; The interference source position is determined according to the multiple distance differences, the first position of each of the reference sensors, and the second position of the reference sensor.

[0008] As a possible implementation manner, determining the position of the interference source according to the multiple distance differences, the first position of each of the reference sensors, and the second position of the reference sensor includes: generating a corresponding hyperbola according to a distance difference corresponding to each first position, the second position, and each reference sensor; The interference source position is determined according to the multiple hyperbolas.

[0009] As a possible implementation manner, determining the interference source position according to the multiple hyperbolas includes: Determine the equation of each hyperbola; Solving the equation of each hyperbola to obtain the intersection point of the hyperbola; The location of the interference source is determined according to the intersection point.

[0010] As a possible implementation manner, if there are multiple intersection points, determining the location of the interference source according to the intersection points includes: Using a clustering algorithm to determine the center point of multiple different intersections, and using the center point as the interference source position; Alternatively, the intersection point to which the most hyperbolas belong among the multiple intersection points is determined as the interference source position.

[0011] As a possible implementation, the method further includes: Constructing a unified plane coordinate system according to the plane diagram of the substation; After plotting the image of each hyperbola in the plane coordinate system, different intersection points of a plurality of hyperbolas are determined.

[0012] In a second aspect of an embodiment of the present application, a device for locating an interference source outside a substation switch cabinet is provided, the device comprising: A first acquisition module is configured to acquire partial discharge data collected by each sensor, wherein the partial discharge data includes interference source data. The sensor is a dual ultrasonic partial discharge sensor. The substation is equipped with multiple sensors, each of which is divided into a baseline sensor and at least two reference sensors. The first determination module is used to determine the interference signal based on the partial discharge data collected within a preset time period, a second acquisition module, configured to acquire a first time when each of the benchmark sensors acquires the interference signal, and a second time when the reference sensor acquires the interference signal; The second determining module is used to determine the interference source position according to each of the first time, the second time, the preset transmission speed of the interference signal, the first position of each of the reference sensors, and the second position of the reference sensor.

[0013] As a possible implementation manner, the first determining module is specifically configured to: The partial discharge data collected within a preset time period generate a partial discharge spectrum, wherein the partial discharge spectrum includes partial discharge pulse signals corresponding to a plurality of partial discharge data received within the preset time period at a preset frequency; Acquire signal characteristics of each partial discharge pulse signal, and determine the partial discharge pulse signals with the same signal characteristics as the interference signal, wherein the signal characteristics include: amplitude dispersion, positive and negative semi-axis symmetry, number of peaks, number of troughs, comparison of 50 Hz and 100 Hz frequency components, number of discharges, and discharge interval.

[0014] As a possible implementation manner, the second determining module is specifically configured to: Obtaining a time difference between each of the first time and the second time; determining a plurality of distance differences according to each of the time differences and a transmission speed of the interference signal, the plurality of distance differences being a difference between a distance from the interference signal to each of the reference sensors and a distance from the interference signal to the reference sensor; The interference source position is determined according to the multiple distance differences, the first position of each of the reference sensors, and the second position of the reference sensor.

[0015] As a possible implementation manner, the second determining module is specifically configured to: generating a corresponding hyperbola according to a distance difference corresponding to each first position, the second position, and each reference sensor; The interference source position is determined according to the multiple hyperbolas.

[0016] As a possible implementation manner, the second determining module is specifically configured to: Determine the equation of each hyperbola; Solving the equation of each hyperbola to obtain the intersection point of the hyperbola; The location of the interference source is determined according to the intersection point.

[0017] As a possible implementation manner, if there are multiple intersection points, the second determining module is specifically configured to: Using a clustering algorithm to determine the center point of multiple different intersections, and using the center point as the interference source position; Alternatively, the intersection point to which the most hyperbolas belong among the multiple intersection points is determined as the interference source position.

[0018] As a possible implementation manner, the second determining module is further configured to: Constructing a unified plane coordinate system according to the plane diagram of the substation; After plotting the image of each hyperbola in the plane coordinate system, different intersection points of a plurality of hyperbolas are determined.

[0019] According to a third aspect of an embodiment of the present application, an electronic device is provided, including a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the method for locating an interference source outside a substation switch cabinet according to the first aspect of the embodiment of the present application is implemented.

[0020] In a fourth aspect of an embodiment of the present application, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the method for locating the interference source outside the substation switch cabinet described in the first aspect of the embodiment of the present application is implemented.

[0021] The beneficial effects of the technical solutions provided in the embodiments of the present application include at least: The embodiment of the present application provides a method for locating an interference source outside a substation switch cabinet, which obtains partial discharge data collected by each sensor, wherein the partial discharge data includes interference source data. The sensor is a dual ultrasonic partial discharge sensor. Multiple sensors are deployed in the substation, and the multiple sensors are divided into a baseline sensor and at least two reference sensors. The interference signal is determined based on the partial discharge data collected within a preset time period, and the first time when each of the baseline sensors collects the interference signal and the second time when the reference sensor collects the interference signal are obtained. The position of the interference source is determined based on each of the first time, the second time, the preset transmission speed of the interference signal, the first position of each of the baseline sensors, and the second position of the reference sensor, so that the interference source is located and checked when external interference causes abnormal partial discharge in the switch cabinet, thereby improving the operation and maintenance efficiency of the substation and shortening the troubleshooting time. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 A schematic diagram of a substation monitoring system provided in an embodiment of the present application; Figure 2 The method flow for locating the interference source outside the substation switch cabinet provided in the embodiment of the present application Figure 1 ; Figure 3 A schematic diagram of the deployment of sensors in a substation provided in an embodiment of the present application; Figure 4 The method flow for locating the interference source outside the substation switch cabinet provided in the embodiment of the present application Figure 2 ; Figure 5 A schematic diagram of a hyperbola provided in an embodiment of the present application; Figure 6 A structural diagram of a device for locating interference sources outside a substation switch cabinet provided in an embodiment of the present application; Figure 7 A schematic diagram of the internal structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0023] The following will be combined with the drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are only part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0024] In the following, the terms "first" and "second" are used for descriptive purposes only and should not be understood to indicate or imply relative importance or implicitly specify the number of the technical features indicated. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features. In the description of the embodiments of the present disclosure, unless otherwise specified, "plurality" means two or more.

[0025] Additionally, the use of “based on” or “according to” is intended to be open and inclusive, in that a process, step, calculation, or other action “based on” or “according to” one or more conditions or values may, in practice, be based on additional conditions or beyond values.

[0026] In order to monitor the substation, the present invention sets up the cloud, edge, and end sides in a cloud-edge collaborative manner. The cloud-edge collaborative computing platform is an intelligent computing architecture developed to meet the new challenges brought about by the development of the Internet of Things (IoT). To manage digital cloud computing, the platform can sink computing power from the centralized cloud to edge nodes close to the data source, optimizing data processing capabilities through a distributed computing model. The cloud-edge collaborative computing model not only extends the capabilities of cloud native, but also enables data processing, business applications, and artificial intelligence (AI) models to be executed at the edge close to the data source by deploying edge nodes, solving the problems encountered by the Internet of Things when it is implemented, such as real-time response, data privacy, and convenient maintenance.

[0027] The cloud-edge collaborative computing platform has significantly improved data processing efficiency and system response speed in practical applications across multiple industries, enabling diverse intelligent applications and facilitating digital transformation across various sectors. The cloud can be used for advanced analysis and global optimization.

[0028] The cloud, edge, and device together constitute a substation monitoring system. According to one embodiment of the present invention, Figure 1 FIG. 1 shows a schematic diagram of a substation monitoring system according to an exemplary embodiment of the present invention. Figure 1 As shown in the figure, the substation monitoring system adopts a three-layer architecture of cloud side, edge side, and device side.

[0029] Traditional switchgear faces problems such as long partial discharge detection cycles, heavy workload, and high false alarm rates for equipment status detection. Currently, grassroots business personnel lack effective means and are unable to promptly and accurately detect abnormal equipment status. The present invention deploys dual ultrasonic partial discharge sensors in substation switchgear and develops a substation switchgear partial discharge cabinet internal and external identification technology based on dual ultrasonic partial discharge sensors. This can effectively solve the problem of false alarms in traditional switchgear partial discharge monitoring, helping operation and maintenance personnel to quickly and accurately identify whether the partial discharge fault is inside the cabinet, greatly improving the ability to accurately locate partial discharges. The present invention also develops external interference source positioning technology with the ability to locate external interference sources. When it is determined that the partial discharge anomaly is caused by an external interference source, the location of the external interference source is determined to eliminate external environmental interference, reducing the workload of grassroots business personnel in equipment operation and maintenance, improving operation and maintenance efficiency, and ensuring the reliability of power supply services. The present invention also achieves autonomous control of the software and hardware platform through sensors such as the autonomously deployed dual ultrasonic partial discharge sensors, thereby improving the safety of substation operation.

[0030] The terminal side may include dual ultrasonic partial discharge sensors for substation monitoring. According to one embodiment of the present invention, the dual ultrasonic partial discharge sensors can be deployed on the panel of a switchgear, such as a switchgear panel in a 10kV switch room. The switchgear can be implemented as a high-voltage switchgear. The present invention does not limit the specific type of switchgear.

[0031] The side of the substation monitoring system includes digital node devices. The computing device in the present invention can be specifically implemented as a digital node device, and the method for locating the external interference source of the substation switch cabinet of the present invention can be specifically executed by the digital node device deployed in the substation room. The digital node device is connected to the distribution network cloud master station in the north and is connected to one or more end-side devices in the south, such as one or more dual ultrasonic partial discharge sensors. The digital node device can be deployed in a 10KV switch room. The present invention does not limit the specific deployment method and deployment location of the digital node device.

[0032] Digital node devices can be deployed in two ways: fixed and portable. Fixed digital node devices can be deployed in a cabinet in the switch room and powered by a fixed power supply. They are suitable for long-term substation monitoring. Portable digital node devices are removable and reusable. They are suitable for short-term substation monitoring and can be powered by a mobile power supply.

[0033] According to one embodiment of the present invention, the present invention can be divided into power-guarantee substations and non-power-guarantee substations according to the different operation and maintenance levels of the substations. The operation and maintenance level of the power-guarantee substation is higher than that of the non-power-guarantee substation. The present invention can set substations with high load importance, which need to be focused on, or substations that undertake some active guarantee tasks as power-guarantee substations, and the remaining substations as non-power-guarantee substations. The present invention can deploy fixed digital node equipment in power-guarantee substations and deploy portable digital node equipment in non-power-guarantee substations.

[0034] Digital node devices collect partial discharge sensor data using the Internet of Things (IoT) protocol for power transmission and transformation equipment and synchronize sensor time using the DRX scheduler. This partial discharge sensor data can include data collected by dual ultrasonic partial discharge sensors, including both in-cabinet and out-cabinet partial discharge data.

[0035] The present invention does not limit the number of dual ultrasonic partial discharge sensors that can be connected to the digital node device, for example, it can be no less than 36. The digital node device supports data acquisition from various types of wired and wireless sensors such as IEC61850, MQTT, Modbμs, wireless networking protocol for IoT node devices of power transmission and transformation equipment, and micro-power wireless network communication protocol for IoT of power transmission and transformation equipment; supports Ethernet port, RS-485 / RS-232, wireless 4G+APN, LoRa wireless hardware communication, and supports wireless access capabilities such as 4G and 5G, as well as wired access capabilities such as optical fiber and Ethernet. The digital node device can access the distribution network cloud master station through the IEC104 protocol. The present invention does not limit the specific connection method between the digital node device and the distribution network cloud master station and the dual ultrasonic partial discharge sensor.

[0036] The cloud side includes a distribution network cloud master station. This station can be implemented as one or more computing devices. The present invention does not limit the specific components of the distribution network cloud master station. The distribution network cloud master station can be deployed within or outside the substation, communicating with digital node devices deployed in the substation building. The distribution network cloud master station can display data collected by dual ultrasonic partial discharge sensors in the switchroom, generate partial discharge alarms within the switchgear, and generate external interference signal alarms.

[0037] Furthermore, since the switchgear deployment environment includes not only the switchgear itself but also other electrical appliances, such as lights and cameras, abnormalities in these external components, such as light flickering, can also generate partial discharges (PDs). These PD signals are also detected by the PD sensors monitoring the switchgear. Therefore, if the switchgear PD data collected by the dual ultrasonic PD sensors show abnormalities, it could be due to either abnormal PD in the switchgear itself or PD signals from disturbances in the environment.

[0038] According to one embodiment of the present invention, multiple dual ultrasonic partial discharge sensors are deployed in a substation. Each dual ultrasonic partial discharge sensor may have an independent start time and frequency for data collection. Therefore, the partial discharge data collected by these dual ultrasonic partial discharge sensors may not be collected at the same time. For example, the partial discharge data of the first switch cabinet is collected at a first time, and the partial discharge data of the second switch cabinet is collected at a second time. If the partial discharge data of the second switch cabinet is abnormal at the second time, it is impossible to compare the data at different times to determine whether the partial discharge abnormality is caused by interference such as external background noise, nor is it possible to calculate and locate the position of the external interference source based on the data at different times.

[0039] To this end, the present invention employs a computing device (i.e., a digital node device) to generate a time synchronization instruction. This time synchronization instruction is used to cause all probes of multiple dual ultrasonic partial discharge sensors to begin collecting data at the same acquisition time specified by the next synchronized acquisition time, and to collect data at the same acquisition frequency specified by the synchronized acquisition frequency. The time synchronization instruction may specifically include the next synchronized acquisition time and the synchronized acquisition frequency. The digital node device then generates a DRX configuration instruction based on the time synchronization instruction and sends the DRX configuration instruction to each sensor.

[0040] The DRX configuration instruction includes the DRX cycle duration, i.e., how long a DRX cycle lasts, and the synchronization frame sequence number, which specifies the DRX cycle in which synchronization data collection begins. The DRX cycle duration is determined by the synchronization acquisition frequency, and the synchronization frame sequence number is determined by the next synchronization acquisition time. According to one embodiment of the present invention, the synchronization acquisition frequency and the corresponding DRX cycle duration can be set to 20μs, so that the synchronization acquisition accuracy of the sensor meets the computational requirements for identifying partial discharges inside and outside the cabinet, locating interference sources outside the cabinet, and locating partial discharges inside the cabinet, ensuring data synchronization between the various sensors and achieving a synchronization acquisition accuracy of less than ±20μs for the collected high-precision partial discharge data.

[0041] According to one embodiment of the present invention, after time synchronization of multiple dual ultrasonic PD sensors, the dual ultrasonic PD sensors collect PD data at the same synchronization acquisition time and frequency and transmit the data to a digital node device. The PD data received by the digital node device from the multiple dual ultrasonic PD sensors is synchronously collected.

[0042] According to one embodiment of the present invention, when determining whether a switchgear has a partial discharge abnormality based on partial discharge data, if the switchgear partial discharge data is above 8dBμV and below 20dBμV, it reaches the attention range; if the switchgear partial discharge data is above 20dBμV and below 30dBμV, it reaches the critical range; and if the switchgear partial discharge data is above 30dBμV, it reaches the maintenance required range. When the digital node equipment detects that the switchgear partial discharge data has reached the above ranges, it can generate general alarm, severe alarm, and crisis alarm information, respectively, to prompt operation and maintenance personnel. Therefore, when the switchgear partial discharge data is above 8dBμV, the switchgear partial discharge is considered abnormal.

[0043] According to one embodiment of the present invention, a dual ultrasonic partial discharge sensor includes an inner ultrasonic partial discharge probe and an outer ultrasonic partial discharge probe. The inner ultrasonic partial discharge probe is suitable for collecting in-cabinet partial discharge data on the inside of the switch cabinet, and the outer ultrasonic partial discharge probe is suitable for collecting out-cabinet partial discharge data on the outside of the switch cabinet. Based on the arrangement of the outer ultrasonic partial discharge probe and the inner ultrasonic partial discharge probe, the present invention provides a method for identifying and locating interference sources: by comparing the in-cabinet partial discharge data with the out-cabinet partial discharge data, it can be determined whether the partial discharge anomaly is caused by external interference outside the cabinet or due to an abnormality inside the switch cabinet. For example, if the out-cabinet partial discharge data is small or absent, it may be due to an abnormality inside the switch cabinet. If the waveforms of the out-cabinet partial discharge data and the in-cabinet partial discharge data are similar, it may be due to external interference causing the in-cabinet partial discharge data anomaly. In addition, when comparing the in-cabinet partial discharge data with the out-cabinet partial discharge data, the simultaneity of the partial discharge data is ensured through high-precision synchronous acquisition technology; thereby achieving environmental interference identification and in-cabinet partial discharge fault location based on the in-cabinet ultrasonic partial discharge probes.

[0044] The present invention can identify partial discharges inside and outside the switch cabinet according to the following steps, and determine whether the abnormal partial discharge data is caused by external interference or an abnormality inside the switch cabinet.

[0045] In response to receiving partial discharge data sent by the dual ultrasonic partial discharge sensors, if a switch cabinet partial discharge abnormality is determined based on the partial discharge data, a first partial discharge data similarity is determined based on the target cabinet partial discharge data collected by the dual ultrasonic partial discharge sensors in the target switch cabinet with the partial discharge abnormality and the target cabinet partial discharge data outside the target cabinet; a second partial discharge data similarity is determined based on the target cabinet partial discharge data collected by the dual ultrasonic partial discharge sensors in the target switch cabinet with the partial discharge abnormality and the cabinet partial discharge data collected from other switch cabinets; if the first partial discharge data similarity and / or the second partial discharge data similarity is greater than a similarity threshold, it is determined that the switch cabinet partial discharge abnormality is caused by external interference. If both the first partial discharge data similarity and the second partial discharge data similarity are less than the similarity threshold, it is determined that the switch cabinet partial discharge abnormality is caused by an internal abnormality in the switch cabinet.

[0046] Determining the first partial discharge data similarity includes: determining an in-cabinet feature vector based on an in-cabinet partial discharge spectrum of the target in-cabinet partial discharge data; determining an out-cabinet feature vector based on an out-cabinet partial discharge spectrum of the target out-cabinet partial discharge data; and calculating the first partial discharge data similarity based on the in-cabinet feature vector and the out-cabinet feature vector. Determining the feature vector based on the partial discharge spectrum includes: generating a feature vector based on one or more of a peak frequency, a valley frequency, a periodicity, and a slope of the partial discharge spectrum; and inputting the in-cabinet partial discharge spectrum of the target in-cabinet partial discharge data and the out-cabinet partial discharge spectrum of the target out-cabinet partial discharge data into an image similarity calculation model, and determining the first partial discharge data similarity based on an output of the image similarity calculation model.

[0047] According to one embodiment of the present invention, partial discharge data includes unstructured data, such as partial discharge pulse signals, and a partial discharge spectrum of the switchgear partial discharge data can be drawn based on the partial discharge pulse signals. Partial discharge spectrums of the switchgear partial discharge data include partial discharge phase distribution (PRPD) and partial discharge pulse signal (PRPS). The present invention does not limit the specific type of partial discharge spectrum drawn from the switchgear partial discharge data. Partial discharge spectrums include external partial discharge spectrum and internal partial discharge spectrum.

[0048] The present invention can identify partial discharges inside and outside the switch cabinet according to the following steps, and determine whether the abnormal partial discharge data is caused by external interference or an abnormality inside the switch cabinet.

[0049] In response to receiving partial discharge data sent by the dual ultrasonic partial discharge sensors, if a switch cabinet partial discharge abnormality is determined based on the partial discharge data, a first partial discharge data similarity is determined based on the target cabinet partial discharge data collected by the dual ultrasonic partial discharge sensors in the target switch cabinet with the partial discharge abnormality and the target cabinet partial discharge data outside the target cabinet; a second partial discharge data similarity is determined based on the target cabinet partial discharge data collected by the dual ultrasonic partial discharge sensors in the target switch cabinet with the partial discharge abnormality and the cabinet partial discharge data collected from other switch cabinets; if the first partial discharge data similarity and / or the second partial discharge data similarity is greater than a similarity threshold, it is determined that the switch cabinet partial discharge abnormality is caused by external interference. If both the first partial discharge data similarity and the second partial discharge data similarity are less than the similarity threshold, it is determined that the switch cabinet partial discharge abnormality is caused by an internal abnormality in the switch cabinet.

[0050] Determining the first partial discharge data similarity includes: determining an in-cabinet feature vector based on an in-cabinet partial discharge spectrum of the target in-cabinet partial discharge data; determining an out-cabinet feature vector based on an out-cabinet partial discharge spectrum of the target out-cabinet partial discharge data; and calculating the first partial discharge data similarity based on the in-cabinet feature vector and the out-cabinet feature vector. Determining the feature vector based on the partial discharge spectrum includes: generating a feature vector based on one or more of a peak frequency, a valley frequency, a periodicity, and a slope of the partial discharge spectrum; and inputting the in-cabinet partial discharge spectrum of the target in-cabinet partial discharge data and the out-cabinet partial discharge spectrum of the target out-cabinet partial discharge data into an image similarity calculation model, and determining the first partial discharge data similarity based on an output of the image similarity calculation model.

[0051] According to one embodiment of the present invention, partial discharge data includes unstructured data, such as partial discharge pulse signals, and a partial discharge spectrum of the switchgear partial discharge data can be drawn based on the partial discharge pulse signals. Partial discharge spectrums of the switchgear partial discharge data include partial discharge phase distribution (PRPD) and partial discharge pulse signal (PRPS). The present invention does not limit the specific type of partial discharge spectrum drawn from the switchgear partial discharge data. Partial discharge spectrums include external partial discharge spectrum and internal partial discharge spectrum.

[0052] The embodiment of the present application provides a method for locating interference sources outside the substation switch cabinet, such as Figure 2 As shown, the method includes: Step 201: Acquire partial discharge data collected by each sensor, wherein the partial discharge data includes interference source data. The sensor is a dual ultrasonic partial discharge sensor. Multiple sensors are deployed in the substation, and the multiple sensors are divided into a baseline sensor and at least two reference sensors.

[0053] The present invention can deploy dual ultrasonic partial discharge sensors on the walls of the switch room and on the cabinet surface of the switch cabinet. According to one embodiment of the present invention, the present invention can set one or more of the multiple dual ultrasonic partial discharge sensors as background noise sensors, such as selecting the dual ultrasonic partial discharge sensors deployed on the walls of the switch room as background noise sensors, that is, reference sensors, for collecting background noise, and the sensors deployed on the cabinet surface of the switch cabinet as reference sensors to support the positioning of interference sources outside the cabinet. The reference sensor and at least two reference sensors can be deployed in a triangular relationship. Specifically, Figure 3 shown.

[0054] The dual ultrasonic PD sensor consists of two PD probes: an inner ultrasonic PD probe and an outer ultrasonic PD probe. The inner ultrasonic PD probe collects ultrasonic PD data from inside the cabinet (in-cabinet PD data), while the outer ultrasonic PD probe collects ultrasonic PD data from outside the cabinet (out-cabinet PD data). The inner portion of the dual ultrasonic PD sensor can be deployed actively, while the outer portion, such as the outer ultrasonic PD probe, can be magnetically deployed in gaps between the cable compartment and circuit breaker compartment outside the cabinet. This allows for identification of PD inside and outside the cabinet and location of interference sources outside the cabinet.

[0055] The parameters of the dual ultrasonic partial discharge sensor include: ultrasonic monitoring range 20-100kHz, center frequency 40Khz, ultrasonic sensitivity 0dBμV; wireless communication RF transmission power 15-17dBm, receiving sensitivity -109dBm, and time synchronization error +-20μS.

[0056] To locate external interference sources in a substation switchgear, multiple dual ultrasonic sensors are pre-synchronized. After synchronization, the dual ultrasonic sensors collect partial discharge data at a synchronized acquisition frequency.

[0057] Step 202: determining an interference signal based on the partial discharge data collected within a preset time period, and obtaining a first time when each of the benchmark sensors collects the interference signal, and a second time when the reference sensor collects the interference signal; Step 203: Determine the interference source position according to each of the first time, the second time, the preset transmission speed of the interference signal, the first position of each of the benchmark sensors, and the second position of the reference sensor.

[0058] The embodiment of the present application provides a method for locating an interference source outside a substation switch cabinet, which obtains partial discharge data collected by each sensor, wherein the partial discharge data includes interference source data. The sensor is a dual ultrasonic partial discharge sensor. Multiple sensors are deployed in the substation, and the multiple sensors are divided into a baseline sensor and at least two reference sensors. The interference signal is determined based on the partial discharge data collected within a preset time period, and the first time when each of the baseline sensors collects the interference signal and the second time when the reference sensor collects the interference signal are obtained. The position of the interference source is determined based on each of the first time, the second time, the preset transmission speed of the interference signal, the first position of each of the baseline sensors, and the second position of the reference sensor, so that the interference source is located and checked when external interference causes abnormal partial discharge in the switch cabinet, thereby improving the operation and maintenance efficiency of the substation and shortening the troubleshooting time.

[0059] Optionally, the process of determining the interference signal according to the partial discharge data collected within a preset time period in step 202 may be: The partial discharge data collected within a preset time period generate a partial discharge spectrum, wherein the partial discharge spectrum includes partial discharge pulse signals corresponding to a plurality of partial discharge data received within the preset time period at a preset frequency; Acquire signal characteristics of each partial discharge pulse signal, and determine the partial discharge pulse signals with the same signal characteristics as the interference signal, wherein the signal characteristics include: amplitude dispersion, positive and negative semi-axis symmetry, number of peaks, number of troughs, comparison of 50 Hz and 100 Hz frequency components, number of discharges, and discharge interval.

[0060] The PD spectrum is drawn based on the PD data and can be specifically implemented as a PD pulse signal spectrum (PRPS), which includes multiple PD pulse signals received at a preset frequency within a preset time period. Each PD pulse signal includes phase information and is arranged in chronological order in a three-dimensional coordinate system.

[0061] According to one embodiment of the present invention, obtaining partial discharge data collected by each dual ultrasonic partial discharge sensor includes obtaining partial discharge data collected by each dual ultrasonic sensor starting from the same synchronous collection time and at the same synchronous collection frequency, such as partial discharge pulse signals of each dual ultrasonic partial discharge sensor at 0 μs, 20 μs, 40 μs, 80 μs, 100 μs, 120 μs, 140 μs, and so on.

[0062] Determining similar signals in multiple partial discharge spectra based on the partial discharge spectra of each partial discharge data includes: determining signal characteristics of each partial discharge pulse signal, and determining partial discharge pulse signals with the same signal characteristics as similar signals, wherein the signal characteristics include one or more of amplitude dispersion, positive and negative semi-axis symmetry, number of peaks, number of troughs, comparison of 50 Hz and 100 Hz frequency components, number of discharges, and discharge interval.

[0063] According to one embodiment of the present invention, when determining similar signals, if the signal characteristics of the partial discharge pulse signal collected by the first dual ultrasonic sensor at 20 μs, the partial discharge pulse signal collected by the second dual ultrasonic sensor at 2020 μs, the partial discharge pulse signal collected by the third dual ultrasonic sensor at 5020 μs, and the partial discharge pulse signal collected by the fourth dual ultrasonic sensor at 3020 μs are the same, then the partial discharge pulse signal is confirmed to be a similar signal and used as an interference characteristic signal. If multiple similar signals can be determined based on the partial discharge data, then all of them can be used as interference characteristic signals to solve the location of the interference source, thereby improving the accuracy of determining the interference source.

[0064] Optional, such as Figure 4 As shown, step 203, the process of determining the interference source position according to each of the first time, the second time, the preset transmission speed of the interference signal, the first position of each of the reference sensors, and the second position of the reference sensor may include: Step 401: Obtain the time difference between each first time and the second time; Step 402: Determine a plurality of distance differences based on each of the time differences and the transmission speed of the interference signal, wherein the plurality of distance differences are differences between a distance from the interference signal to each of the reference sensors and a distance from the interference signal to the benchmark sensor. Step 403: Determine the interference source position according to the multiple distance differences, the first position of each of the benchmark sensors, and the second position of the reference sensor.

[0065] Optionally, the process of step 403 may be: generating a corresponding hyperbola according to a distance difference corresponding to each first position, the second position, and each reference sensor; The interference source position is determined according to the multiple hyperbolas.

[0066] Furthermore, the process of determining the location of the interference source based on the multiple hyperbolas may be: Determine the equation of each hyperbola; Solving the equation of each hyperbola to obtain the intersection point of the hyperbola; The location of the interference source is determined according to the intersection point.

[0067] If there are multiple intersection points, determining the location of the interference source according to the intersection points includes: Using a clustering algorithm to determine the center point of multiple different intersections, and using the center point as the interference source position; Alternatively, the intersection point to which the most hyperbolas belong among the multiple intersection points is determined as the interference source position.

[0068] In addition, a unified plane coordinate system may be constructed according to the plane diagram of the substation; after each image of the hyperbola is drawn in the plane coordinate system, different intersection points of multiple hyperbolas are determined.

[0069] In actual implementation, after determining the interference characteristic signal, the arrival time of the interference characteristic signal at the dual ultrasonic partial discharge sensors is determined. The arrival time of the interference characteristic signal at the first dual ultrasonic sensor is 20 μs, the arrival time at the second dual ultrasonic partial discharge sensor is 2020 μs, the arrival time at the third dual ultrasonic sensor is 4020 μs, and the arrival time at the fourth dual ultrasonic sensor is 5020 μs.

[0070] One of the dual ultrasonic partial discharge sensors is designated as the benchmark sensor, with its corresponding arrival time being the benchmark time. The other dual ultrasonic partial discharge sensors are designated as reference sensors. The arrival time difference is determined based on the benchmark time and the arrival time of the reference sensors. The present invention does not limit the specific method for determining the benchmark sensor; for example, the sensor with the best signal and the lowest data transmission delay can be selected as the benchmark sensor.

[0071] According to one embodiment of the present invention, the second dual ultrasonic partial discharge sensor is set as the reference sensor, and the other dual ultrasonic partial discharge sensors, including the first dual ultrasonic partial discharge sensor, the third dual ultrasonic partial discharge sensor, and the fourth dual ultrasonic partial discharge sensor, are set as reference sensors. The time arrival difference when the first dual ultrasonic partial discharge sensor is used as the reference sensor is 2000 μs, the time arrival difference when the third dual ultrasonic partial discharge sensor is used as the reference sensor is 3000 μs, and the time arrival difference when the fourth dual ultrasonic partial discharge sensor is used as the reference sensor is 1000 μs.

[0072] Determining the distance difference between the interference characteristic signal reaching the benchmark sensor and the reference sensor according to the time arrival difference of each reference sensor includes: determining the distance difference between the interference characteristic signal reaching the benchmark sensor and the reference sensor according to the time arrival difference of each reference sensor and the transmission speed of the interference characteristic signal.

[0073] The present invention uses dual ultrasonic PD sensors in the substation. Therefore, the transmission speed of the interference characteristic signal, which can be calculated as the sound wave propagation velocity of 340 m / s, can be used. Based on this propagation velocity, the distance difference between the interference characteristic signal reaching the second and first dual ultrasonic PD sensors is calculated to be 0.68 m, the distance difference between the second and third dual ultrasonic PD sensors is 1.02 m, and the distance difference between the second and fourth dual ultrasonic PD sensors is 0.34 m.

[0074] The following information can then be determined and recorded: the distance difference between the first pair of ultrasonic partial discharge sensors is 0.68 m, the distance difference between the third pair of ultrasonic partial discharge sensors is 1.02 m, and the distance difference between the fourth pair of ultrasonic partial discharge sensors is 0.34 m.

[0075] Subsequently, a hyperbola with the position of the reference sensor and the position of the benchmark sensor as the focus is determined based on the distance difference of each reference sensor, thereby obtaining multiple hyperbolas. Constructing a hyperbola includes the following steps: First, a unified plane coordinate system is constructed based on the plan view of the substation, which includes the positions of the switch cabinet and the dual ultrasonic partial discharge sensor. A first switch cabinet, a second switch cabinet, and a third switch cabinet are provided in the substation, and a plurality of dual ultrasonic partial discharge sensors are provided outside the switch cabinet. The present invention does not limit the number and position of the dual ultrasonic partial discharge sensors deployed in the substation. For example, the dual ultrasonic partial discharge sensor can be deployed on the cabinet surface of the switch cabinet, wherein the inner ultrasonic partial discharge probe of the dual ultrasonic partial discharge sensor collects ultrasonic partial discharge data on the inner side of the cabinet, and the outer ultrasonic partial discharge probe collects ultrasonic partial discharge data on the outer side of the cabinet. The dual ultrasonic partial discharge sensor can also be deployed on the wall of the substation, not collinear with other dual ultrasonic partial discharge sensors, thereby creating a distance difference with other dual ultrasonic sensors so that the drawn hyperbola image forms a certain angle with the asymptotes of the other hyperbola images, making it easier to find the intersection of the hyperbolas.

[0076] Subsequently, the coordinates of the benchmark sensor and each reference sensor in the plane coordinate system are determined according to the deployment position of each dual ultrasonic partial discharge sensor in the plane coordinate system; finally, a hyperbola is determined according to the coordinates of each reference sensor, the coordinates of the benchmark sensor and the distance difference between each reference sensor.

[0077] Figure 5 FIG. 1 shows a schematic diagram of a plurality of hyperbolic images according to an exemplary embodiment of the present invention. Figure 5As shown, the deployment position of the first dual ultrasonic partial discharge sensor in the substation is marked as point A in the plane coordinate system, the deployment position of the second dual ultrasonic partial discharge sensor in the substation is marked as point B in the plane coordinate system, the deployment position of the third dual ultrasonic partial discharge sensor in the substation is marked as point C in the plane coordinate system, and the deployment position of the fourth dual ultrasonic partial discharge sensor in the substation is marked as point D in the plane coordinate system.

[0078] Then, with the positions of the first pair of ultrasonic partial discharge sensors and the second pair of ultrasonic partial discharge sensors as the focus, a hyperbola was drawn with the distance difference of 0.68m between the first pair of ultrasonic partial discharge sensors, and we can get Figure 5 The red hyperbola in the middle; with the position of the third dual ultrasonic partial discharge sensor and the position of the second dual ultrasonic partial discharge sensor as the focus, the hyperbola is drawn with the distance difference of 1.02 m between the third dual ultrasonic partial discharge sensor and the second dual ultrasonic partial discharge sensor, and the result is: Figure 5 The blue hyperbola is drawn with the position of the fourth dual ultrasonic partial discharge sensor and the position of the second dual ultrasonic partial discharge sensor as the focus, and the distance difference of 0.34m between the fourth dual ultrasonic partial discharge sensor and the second dual ultrasonic partial discharge sensor as the focus, and the hyperbola is drawn with ... Figure 5 Medium gray hyperbola. Figure 5 Asymptotes of the red hyperbola, blue hyperbola, and grey hyperbola are also shown.

[0079] Finally, the location of the interference source in the substation is determined based on the intersections of the multiple hyperbolas. According to one embodiment of the present invention, when determining the location of the interference source in the substation based on the intersections of the multiple hyperbolas, the equations of each hyperbola can be first determined. Then, the equations of the multiple hyperbolas are solved to determine the intersections of all the hyperbolas. The location of the interference source in the substation is determined based on the coordinates of the common intersections of all the hyperbolas. After determining the coordinates of the common intersections of all the hyperbolas, the location of the interference source in the substation is determined based on the position of the coordinates in the plane coordinate system and the mapping relationship between the plane coordinate system and the substation plan.

[0080] According to one embodiment of the present invention, if the solution corresponding to the common intersection of all hyperbolas cannot be found when solving the hyperbola equation due to errors in collecting partial discharge data using dual ultrasonic partial discharge sensors, the most suitable solution, that is, the solution with the largest number of hyperbolas at the intersection, can be used as the target solution to determine the location of the interference source in the substation. An image recognition method can also be used to determine the location of the interference source in the substation.

[0081] According to one embodiment of the present invention, when determining the location of an interference source in a substation based on the intersections of multiple hyperbolas, different intersections of the multiple hyperbolas can also be determined based on images of each hyperbola drawn in a plane coordinate system. A clustering algorithm is then used to determine the center points of the multiple hyperbolas' intersections, and the center points are used as the location of the interference source in the substation. For example, if the intersections of the multiple hyperbolas are in the same area of the plane coordinate system but are scattered, the clustering algorithm can be used to determine the center points of the multiple hyperbolas' intersections, and the location of the interference source in the substation can be determined based on this center point.

[0082] According to one embodiment of the present invention, the intersection with the most hyperbolas among multiple intersections can also be determined as the location of the interference source in the substation. The number of hyperbolas to which an intersection belongs is the number of the intersection on the hyperbola. If the intersection is the common intersection of two hyperbolas, the number of hyperbolas to which the intersection belongs is 2. If the intersection is the common intersection of three hyperbolas, the number of hyperbolas to which the intersection belongs is 3. Determining the intersection with the most hyperbolas among multiple intersections and determining the location of the interference source in the substation based on this can improve the accuracy of determining the interference source. Figure 5 The position of the red circle in the middle shows the common intersection of the three hyperbolas, and the position of the interference source in the substation can be determined based on the common intersection.

[0083] According to one embodiment of the present invention, the present invention can be applied in the field of partial discharge monitoring of substation switch cabinets and can be used by operation and maintenance personnel to provide accurate identification of partial discharge anomalies inside and outside the cabinet when the switch cabinet partial discharge is abnormal, as well as the function of troubleshooting external interference sources for the operation and maintenance personnel; when it is determined that the switch cabinet partial discharge abnormality is caused by external interference, an external interference source alarm is issued; when it is determined that the switch cabinet partial discharge abnormality is caused by an internal abnormality in the switch cabinet, an internal partial discharge abnormality alarm is issued, and an alarm message of an external interference source alarm or an internal partial discharge abnormality alarm is sent to the distribution network cloud master station so that the partial discharge abnormality can be handled; and corresponding data can also be sent to the distribution network cloud master station so that the specific data source of the abnormality is displayed on the distribution network cloud master station, including partial discharge maps, etc., to assist operation and maintenance personnel in further analysis. When it is determined that the partial discharge abnormality of the switch cabinet is caused by an external interference source, the location of the interference source can be determined based on the collected partial discharge data. The accuracy of the present invention in determining the location of the interference source in the substation is ±0.5m.

[0084] like Figure 6 As shown, an embodiment of the present application provides a device for locating an interference source outside a substation switch cabinet, the device comprising: A first acquisition module 11 is configured to acquire partial discharge data collected by each sensor, wherein the partial discharge data includes interference source data. The sensor is a dual ultrasonic partial discharge sensor. Multiple sensors are deployed in the substation, and the multiple sensors are divided into a baseline sensor and at least two reference sensors. The first determining module 12 is configured to determine an interference signal based on partial discharge data collected within a preset time period. A second acquisition module 13 is configured to acquire a first time when each of the reference sensors acquires the interference signal, and a second time when the reference sensor acquires the interference signal; The second determining module 14 is configured to determine the interference source position according to each of the first time, the second time, a preset transmission speed of the interference signal, the first position of each of the benchmark sensors, and the second position of the reference sensor.

[0085] In one embodiment, the first determining module 12 is specifically configured to: The partial discharge data collected within a preset time period generate a partial discharge spectrum, wherein the partial discharge spectrum includes partial discharge pulse signals corresponding to a plurality of partial discharge data received within the preset time period at a preset frequency; Acquire signal characteristics of each partial discharge pulse signal, and determine the partial discharge pulse signals with the same signal characteristics as the interference signal, wherein the signal characteristics include: amplitude dispersion, positive and negative semi-axis symmetry, number of peaks, number of troughs, comparison of 50 Hz and 100 Hz frequency components, number of discharges, and discharge interval.

[0086] In one embodiment, the second determining module 14 is specifically configured to: Obtaining a time difference between each of the first time and the second time; determining a plurality of distance differences according to each of the time differences and a transmission speed of the interference signal, the plurality of distance differences being a difference between a distance from the interference signal to each of the reference sensors and a distance from the interference signal to the reference sensor; The interference source position is determined according to the multiple distance differences, the first position of each of the reference sensors, and the second position of the reference sensor.

[0087] In one embodiment, the second determining module 14 is specifically configured to: generating a corresponding hyperbola according to a distance difference corresponding to each first position, the second position, and each reference sensor; The interference source position is determined according to the multiple hyperbolas.

[0088] In one embodiment, the second determining module 14 is specifically configured to: Determine the equation of each hyperbola; Solving the equation of each hyperbola to obtain the intersection point of the hyperbola; The location of the interference source is determined according to the intersection point.

[0089] In one embodiment, the second determining module 14 is specifically configured to: Using a clustering algorithm to determine the center point of multiple different intersections, and using the center point as the interference source position; Alternatively, the intersection point to which the most hyperbolas belong among the multiple intersection points is determined as the interference source position.

[0090] In one embodiment, the second determining module 14 is further configured to: Constructing a unified plane coordinate system according to the plane diagram of the substation; After plotting the image of each hyperbola in the plane coordinate system, different intersection points of a plurality of hyperbolas are determined.

[0091] The device for locating interference sources outside the substation switch cabinet provided in this embodiment can execute the above-mentioned embodiment of the method for locating interference sources outside the substation switch cabinet. Its implementation principle and technical effects are similar and will not be described in detail here. Each module in the above-mentioned device for locating interference sources outside the substation switch cabinet can be implemented in whole or in part by software, hardware, or a combination thereof. The above-mentioned modules can be embedded in or independent of the processor of the electronic device in the form of hardware, or can be stored in the memory of the electronic device in the form of software, so that the processor can call and execute the operations corresponding to the above-mentioned modules.

[0092] The execution subject of the method for locating interference sources outside the substation switch cabinet provided in the embodiment of the present application can be an electronic device, which can be a computer device, terminal device, server or server cluster, and the embodiment of the present application does not make specific limitations on this.

[0093] Figure 7 This is a schematic diagram of the internal structure of an electronic device provided in an embodiment of the present application. Figure 7 As shown, the electronic device includes a processor and memory connected via a system bus. The processor is used to provide computing and control capabilities. The memory may include a non-volatile storage medium and internal memory. The non-volatile storage medium stores an operating system and a computer program. The computer program can be executed by the processor to implement the steps of the method for locating an interference source outside a substation switchgear provided in each of the above embodiments. The internal memory provides a cached operating environment for the operating system and computer program stored in the non-volatile storage medium.

[0094] Those skilled in the art will understand that Figure 7 The internal structure diagram of the electronic device shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the electronic device to which the solution of the present application is applied. The specific electronic device may include more or fewer components than shown in the figure, or combine certain components, or have a different component arrangement.

[0095] In another embodiment of the present application, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps of the method for locating an interference source outside a substation switch cabinet in the embodiment of the present application are implemented.

[0096] In another embodiment of the present application, a computer program product is also provided, which includes computer instructions. When the computer instructions are run on a device for locating an interference source outside a substation switch cabinet, the device for locating an interference source outside a substation switch cabinet executes each step of the method for locating an interference source outside a substation switch cabinet in the method flow shown in the above method embodiment.

[0097] In the above embodiments, all or part of the embodiments can be implemented using software, hardware, firmware, or any combination thereof. When implemented using a software program, all or part of the embodiments can be implemented in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer-executable instructions are loaded and executed on a computer, all or part of the processes or functions according to the embodiments of the present application are generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server or data center that includes one or more servers that can be integrated with the medium. The available media may be magnetic media (eg, floppy disks, hard disks, magnetic tapes), optical media (eg, DVDs), or semiconductor media (eg, solid state disks (SSDs)).

[0098] The technical features of the above embodiments can be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0099] The above embodiments merely represent several implementation methods of the present application. While the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that a person skilled in the art could make various modifications and improvements without departing from the spirit of the present application, all of which fall within the scope of protection of the present application. Therefore, the scope of protection of the present patent application shall be determined by the appended claims.

Claims

1. A method for locating interference sources outside a substation switch cabinet, characterized in that: The method comprises: Obtaining partial discharge data collected by each sensor, wherein the partial discharge data includes interference source data, wherein the sensor is a dual ultrasonic partial discharge sensor, and the substation is equipped with multiple sensors, wherein the multiple sensors are divided into a baseline sensor and at least two reference sensors; Determining an interference signal based on partial discharge data collected within a preset time period, and obtaining a first time when each of the benchmark sensors collects the interference signal, and a second time when the reference sensor collects the interference signal; The interference source position is determined according to each of the first time, the second time, a preset transmission speed of the interference signal, the first position of each of the benchmark sensors, and the second position of the reference sensor.

2. The method according to claim 1, characterized in that Determining the interference signal based on the partial discharge data collected within a preset time period includes: The partial discharge data collected within a preset time period generate a partial discharge spectrum, wherein the partial discharge spectrum includes partial discharge pulse signals corresponding to a plurality of partial discharge data received within the preset time period at a preset frequency; Acquire signal characteristics of each partial discharge pulse signal, and determine the partial discharge pulse signals with the same signal characteristics as the interference signal, wherein the signal characteristics include: amplitude dispersion, positive and negative semi-axis symmetry, number of peaks, number of troughs, comparison of 50 Hz and 100 Hz frequency components, number of discharges, and discharge interval.

3. The method according to claim 1, characterized in that The determining the interference source position according to each of the first time, the second time, a preset transmission speed of the interference signal, the first position of each of the reference sensors, and the second position of the reference sensor includes: Obtaining a time difference between each of the first time and the second time; determining a plurality of distance differences according to each of the time differences and a transmission speed of the interference signal, the plurality of distance differences being a difference between a distance from the interference signal to each of the reference sensors and a distance from the interference signal to the reference sensor; The interference source position is determined according to the multiple distance differences, the first position of each of the reference sensors, and the second position of the reference sensor.

4. The method according to claim 3, characterized in that The determining the interference source position according to the multiple distance differences, the first position of each of the reference sensors, and the second position of the reference sensor includes: generating a corresponding hyperbola according to a distance difference corresponding to each first position, the second position, and each reference sensor; The interference source position is determined according to the multiple hyperbolas.

5. The method according to claim 4, characterized in that The determining the interference source position according to the plurality of hyperbolas includes: Determine the equation of each hyperbola; Solving the equation of each hyperbola to obtain the intersection point of the hyperbola; The location of the interference source is determined according to the intersection point.

6. The method according to claim 5, characterized in that If there are multiple intersection points, determining the location of the interference source according to the intersection points includes: Using a clustering algorithm to determine the center point of multiple different intersections, and using the center point as the interference source position; Alternatively, the intersection point to which the most hyperbolas belong among the multiple intersection points is determined as the interference source position.

7. The method according to claim 4, characterized in that The method further comprises: Construct a unified plane coordinate system based on the substation plan; After each of the hyperbolas is drawn in the plane coordinate system, different intersection points of the multiple hyperbolas are determined.

8. A device for locating interference sources outside a substation switch cabinet, characterized in that: The device comprises: A first acquisition module is configured to acquire partial discharge data collected by each sensor, wherein the partial discharge data includes interference source data. The sensor is a dual ultrasonic partial discharge sensor. The substation is equipped with multiple sensors, each of which is divided into a baseline sensor and at least two reference sensors. The first determination module is used to determine the interference signal based on the partial discharge data collected within a preset time period, a second acquisition module, configured to acquire a first time when each of the benchmark sensors acquires the interference signal, and a second time when the reference sensor acquires the interference signal; The second determining module is used to determine the interference source position according to each of the first time, the second time, the preset transmission speed of the interference signal, the first position of each of the reference sensors, and the second position of the reference sensor.

9. The device according to claim 8, characterized in that The first determining module is specifically configured to: The partial discharge data collected within a preset time period generate a partial discharge spectrum, wherein the partial discharge spectrum includes partial discharge pulse signals corresponding to a plurality of partial discharge data received within the preset time period at a preset frequency; Acquire signal characteristics of each partial discharge pulse signal, and determine the partial discharge pulse signals with the same signal characteristics as the interference signal, wherein the signal characteristics include: amplitude dispersion, positive and negative semi-axis symmetry, number of peaks, number of troughs, comparison of 50 Hz and 100 Hz frequency components, number of discharges, and discharge interval.

10. The device according to claim 8, characterized in that The second determining module is specifically configured to: Obtaining a time difference between each of the first time and the second time; determining a plurality of distance differences according to each of the time differences and a transmission speed of the interference signal, the plurality of distance differences being a difference between a distance from the interference signal to each of the reference sensors and a distance from the interference signal to the reference sensor; The interference source position is determined according to the multiple distance differences, the first position of each of the reference sensors, and the second position of the reference sensor.

11. The device according to claim 10, characterized in that The second determining module is specifically configured to: generating a corresponding hyperbola according to a distance difference corresponding to each first position, the second position, and each reference sensor; The interference source position is determined according to the multiple hyperbolas.

12. The device according to claim 11, characterized in that The second determining module is specifically configured to: Determine the equation of each hyperbola; Solving the equation of each hyperbola to obtain the intersection point of the hyperbola; The location of the interference source is determined according to the intersection point.

13. The device according to claim 12, characterized in that If there are multiple intersection points, the second determining module is specifically configured to: Using a clustering algorithm to determine the center point of multiple different intersections, and using the center point as the interference source position; Alternatively, the intersection point to which the most hyperbolas belong among the multiple intersection points is determined as the interference source position.

14. The device according to claim 11, characterized in that The second determining module is further configured to: Construct a unified plane coordinate system based on the substation plan; After each of the hyperbolas is drawn in the plane coordinate system, different intersection points of the multiple hyperbolas are determined.

15. An electronic device, characterized in that: The method comprises a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the method for locating an interference source outside a substation switch cabinet according to any one of claims 1 to 7 is implemented.

16. A computer-readable storage medium, characterized in that A computer program is stored thereon, and when the computer program is executed by a processor, the method for locating an interference source outside a substation switch cabinet according to any one of claims 1 to 7 is implemented.

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