CN-121978462-A - Ring main unit fault processing method, device, storage medium and program product

CN121978462ACN 121978462 ACN121978462 ACN 121978462ACN-121978462-A

Abstract

The invention discloses a method, equipment, a storage medium and a program product for processing faults of a ring main unit, and belongs to the technical field of power distribution automation. The method comprises the steps of arranging a current sensor, a voiceprint sensor, a vibration sensor and an arc light sensor in a ring main unit, synchronously collecting an electric signal, a sound signal, a vibration signal and an optical signal when a fault occurs, preprocessing and extracting characteristics of collected multi-mode data to obtain multidimensional characteristic parameters such as current amplitude, frequency spectrum characteristics, vibration energy and light intensity characteristics, calculating fault confidence coefficient based on a weighted fusion algorithm, and outputting fault type and position information when the confidence coefficient exceeds a judging threshold value. By integrating the electrical quantity and the non-electrical quantity information, the invention can distinguish real faults from non-fault disturbances, accurately identify atypical faults such as high-resistance grounding faults, arc faults and the like, reduce false alarm rate, improve reliability and intelligent level of a ring network box protection system, and is suitable for intelligent operation and maintenance scenes of urban power distribution networks.

Inventors

Lv you
XU JUNJIE
LV YUNFENG
LI QIANG

Assignees

南京富尔登科技发展有限公司

Dates

Publication Date: 20260505
Application Date: 20260225

Claims (10)

1. A method for processing a ring main unit fault, which is applied to a first ring main unit device, the method comprising: the first ring main unit acquires corresponding electrical parameter data and at least two non-electrical sensor data through an electrical sensor and a non-electrical sensor; The first ring main unit judges whether the electrical parameter data has preset fault electrical characteristics or not; if the electrical parameter data has the preset fault electrical characteristics, the first ring main unit performs cross comparison on the fault electrical characteristics and the at least two non-electrical sensor data, and judges whether a positive fault identification is generated; After the confirmed fault identification is generated, the first switch in the first ring main unit is controlled to execute tripping action, and the connection between the first ring main unit and a downstream fault line is cut off; And the first ring main unit sends an isolation instruction message to the second ring main unit of the downstream fault line.
2. The method of claim 1, wherein the non-electrical sensor data comprises voiceprint sensor data, vibration sensor data, and arc light sensor data, and wherein the first ring main unit cross-compares the fault electrical signature to the at least two non-electrical sensor data to determine whether to generate a positive fault identification, comprising: Performing time domain and frequency domain joint analysis on the voiceprint sensor data and the vibration sensor data respectively to generate three-dimensional spectrograms corresponding to the voiceprint sensor data and the vibration sensor data respectively, performing spectral component analysis on the arc light sensor data to generate a spectral intensity distribution map; slice scanning is carried out on the three-dimensional spectrogram along a time axis, and the spectrum energy concentration degree of the time slice is calculated aiming at the time slice where the identified instantaneous energy peak value is located; When the spectral energy concentration is lower than a preset dispersion threshold, judging that the time slice has full-spectral dispersion characteristics, and recording a quantized value of the instantaneous energy peak value and the dispersion characteristics to be used as a first group of non-electrical characteristic parameters together; In the distribution diagram of the spectrum intensity changing along with time, identifying and quantifying the peak intensity of the ultraviolet spectrum band and the first derivative thereof, and obtaining the light intensity transition rate as a second group of non-electrical characteristic parameters; Matching degree calculation is carried out on the quantized values of the first group of non-electrical characteristic parameters and the second group of non-electrical characteristic parameters and a preset fault physical model template; And when the matching degree calculation result exceeds a preset cooperative confidence coefficient threshold value, generating the corroborative fault identification.
3. The method according to claim 2, wherein the fault physical model template is built by the following pre-steps: respectively acquiring a first group of multi-mode data under a preset fault working condition and a second group of multi-mode data under a non-fault working condition, wherein the multi-mode data at least comprises electrical characteristics, voiceprint data, vibration data and arc light data; performing analysis and identification operations on the first and second sets of multimodal data, extracting respective sets of non-electrical characteristic parameters; carrying out statistical analysis on the non-electrical characteristic parameter sets of the first multi-mode data and the second multi-mode data, and respectively calculating and determining a classification threshold value capable of maximally distinguishing the two sets of data sets for the instantaneous energy peak value, the spectrum energy concentration degree, the ultraviolet spectrum peak value intensity, the dispersion characteristic and the light intensity jump rate; integrating a plurality of classification thresholds to construct the fault physical model template.
4. A method for processing a ring main unit fault, which is applied to a second ring main unit device, the method comprising: the second ring main unit receives and analyzes the isolation instruction message, controls the second switch inside to execute tripping action, and cuts off the connection between the second ring main unit and the upstream fault line; After the second ring main unit executes tripping action, generating a help seeking message containing historical load data of the downstream fault line before tripping; the second ring main unit broadcasts the help seeking message to at least one third ring main unit in the interconnection switch system; the second ring main unit receives and analyzes at least one response message, and obtains residual capacity data in the response message as residual capacity data to be detected; The second ring main unit compares the residual capacity data to be detected with the power-loss load data in the help seeking message according to preset conditions, and screens target residual capacity data; And the second ring main unit determines the third ring main unit corresponding to the target residual capacity data as a target third ring main unit, and sends a take-over confirmation message to the target third ring main unit.
5. The method of claim 4, wherein the step of comparing the remaining capacity data to be tested with the power loss load data in the help message according to a preset condition, and screening the target remaining capacity data specifically includes: multiplying the power-loss load data in the help seeking message by a preset safety coefficient, and calculating a load demand threshold value, wherein the preset safety coefficient is larger than 1; Comparing each piece of received residual capacity data to be tested with the load demand threshold value; storing all the remaining capacity data to be detected which are larger than the load demand threshold value into a candidate capacity data set; And selecting the data with the largest numerical value from the candidate capacity data set, and determining the data as the target residual capacity data.
6. The method according to claim 4 or 5, wherein the help message is used for enabling the third ring main unit to obtain rated capacity data and current real-time load data of the third ring main unit, calculate and generate residual capacity data, package the residual capacity data into a response message, and send the response message to the second ring main unit.
7. A method for processing a ring main unit fault, which is applied to a target third ring main unit, the method comprising: After receiving the takeover confirmation message, the target third ring main unit detects a voltage value of a connecting line between the target third ring main unit and the second ring main unit; When the voltage value of the interconnecting link is detected to be zero, the target third ring main unit controls the interconnecting switch to execute a closing action, and power supply is recovered to the second ring main unit and the downstream through the interconnecting link.
8. A ring network box fault handling device comprising one or more processors and memory coupled to the one or more processors, the memory to store computer program code comprising computer instructions that the one or more processors invoke to cause the ring network box fault handling device to perform the method of any of claims 1-7.
9. A computer readable storage medium comprising instructions which, when run on a ring main unit fault handling device, cause the ring main unit fault handling device to perform the method of any of claims 1-7.
10. A computer program product, which, when run on a ring main unit fault handling device, causes the ring main unit fault handling device to perform the method of any of claims 1-7.

Description

Ring main unit fault processing method, device, storage medium and program product Technical Field The application relates to the technical field of power distribution automation, in particular to a method, equipment, a storage medium and a program product for processing faults of a ring main unit. Background The ring main unit is used as a key node in the urban medium-voltage distribution network, and the stable operation of the ring main unit is important to guaranteeing the power supply of residents and enterprise users. Therefore, the method can rapidly and accurately identify and isolate the electrical faults of the ring main unit or the circuit connected with the ring main unit, and is one of the core technical directions for improving the reliability and the automation level of the whole power distribution system. Currently, for fault diagnosis of ring main units, some related technologies rely on monitoring electrical parameters. For example, the current, voltage and other electrical quantities of the line are monitored in real time through a protective relay or an intelligent terminal. When the current value is detected to be instantaneously exceeding a preset setting threshold value, the system judges that the line is short-circuited or grounded, and immediately starts a protection mechanism to control the switching equipment to execute tripping action so as to cut off the fault line. However, in the distribution network that actually operates, there are a large number of non-fault transient disturbances, such as start-stop of a large motor, switching operation of a capacitor bank, or transient overvoltage and surge currents caused by remote line faults and lightning strokes. These electrical disturbances exhibit a high degree of similarity in waveform characteristics to the electrical characteristics of a real fault. Under the condition that only electric quantity information is used as a judging basis, the normal transient disturbance is easily misjudged as a real fault, so that unnecessary misoperation of the protection device is caused. The false tripping can not only cause unexpected power failure of downstream users, but also increase the workload of operation and maintenance personnel for checking and recovering power transmission, and directly reduce the accuracy of fault diagnosis and the operation efficiency of the whole power distribution system. Disclosure of Invention The application provides a method, equipment, a storage medium and a program product for processing faults of a ring main unit, which are used for improving the fault diagnosis efficiency and accuracy of the ring main unit. In a first aspect, the application provides a ring network box fault processing method applied to first ring network box equipment, which comprises the steps that the first ring network box acquires corresponding electrical parameter data and at least two non-electrical sensor data through an electrical sensor and a non-electrical sensor; the first ring network box judges whether the electrical parameter data has preset fault electrical characteristics or not, if the electrical parameter data has the preset fault electrical characteristics, the first ring network box carries out cross comparison on the fault electrical characteristics and at least two non-electrical sensor data to judge whether a corroborative fault identification is generated or not, after the corroborative fault identification is generated, the first ring network box controls a first switch inside to execute tripping action to cut off connection between the first ring network box and a downstream fault line, and the first ring network box sends an isolation instruction message to a second ring network box of the downstream fault line. In the embodiment, after the fault characteristics of the electrical parameters are detected, at least two cross comparison links of non-electrical sensor data are introduced, and the triggering condition of the protection action is expanded from a single electrical quantity criterion to a collaborative verification mechanism of multiple physical domains. The mechanism requires that the system does not immediately execute tripping when an electrical abnormality is detected, but rather carries out logic verification on the electrical characteristic and physical phenomena captured by at least two non-electrical sensors such as voiceprint, vibration, arc light and the like, and only when multi-mode data form a self-consistent evidence chain on the physical mechanism level, the confirmed fault identification is generated and protection is started. While a real fault (such as arc short circuit) can synchronously generate various observable physical phenomena such as electrical abnormality, characteristic sound vibration signals, arc radiation and the like when the fault happens, non-fault transient disturbance (such as capacitor switching and motor starting) can show similar electrical waveform characterist