CN-121069048-B - Transformer performance detection method and system

CN121069048BCN 121069048 BCN121069048 BCN 121069048BCN-121069048-B

Abstract

The application provides a method and a system for detecting the performance of a transformer, which belong to the technical field of transformer detection, wherein the method comprises the steps of acquiring electrical parameters, winding temperature and mechanical parameters of the transformer in a first time period based on a first data acquisition frequency, wherein the electrical parameters comprise voltage data and load data; the method comprises the steps of extracting voltage fluctuation rate based on voltage data, determining a first voltage fluctuation rate threshold based on load data and a voltage fluctuation rate threshold lookup table, acquiring electrical parameters, winding temperature and mechanical parameters of a transformer in a second time period based on second data acquisition frequency and acquiring partial discharge capacity of the transformer in the second time period if the voltage fluctuation rate is larger than or equal to the first voltage fluctuation rate threshold, and determining performance indexes of the transformer based on the electrical parameters, winding temperature and mechanical parameters in the first time period and the electrical parameters, winding temperature, mechanical parameters and partial discharge capacity in the second time period. The application can improve the efficiency and accuracy of transformer performance detection.

Inventors

WU HENGHENG
WU KE
ZHANG CHUANG
WANG CUIFENG
WU XIAODI
WANG ZHENZE

Assignees

石家庄恒洋电气设备有限公司

Dates

Publication Date: 20260505
Application Date: 20250820

Claims (7)

1. A method for detecting performance of a transformer, comprising: acquiring electrical parameters, winding temperature and mechanical parameters of the transformer in a first time period based on the first data acquisition frequency, wherein the electrical parameters comprise voltage data and load data; Extracting a voltage fluctuation rate based on the voltage data, determining a first voltage fluctuation rate threshold based on the load data and a voltage fluctuation rate threshold lookup table; if the voltage fluctuation rate is greater than or equal to a first voltage fluctuation rate threshold value, acquiring electrical parameters, winding temperature and mechanical parameters of the transformer in a second time period based on a second data acquisition frequency, and acquiring the local discharge capacity of the transformer in the second time period, wherein the time span of the second time period is greater than the time span of the first time period; Determining a performance index of the transformer based on the electrical parameters, the winding temperature and the mechanical parameters of the transformer in the first time period and the electrical parameters, the winding temperature, the mechanical parameters and the partial discharge capacity of the transformer in the second time period; The first time period is determined by acquiring historical voltage data of a transformer, determining a plurality of voltage fluctuation data subsets based on the historical voltage data, calculating voltage fluctuation rates of the voltage fluctuation data subsets, taking the voltage fluctuation data subsets with the voltage fluctuation rates being greater than or equal to a second voltage fluctuation rate threshold as target voltage fluctuation data subsets, calculating duration mean values and duration standard deviations based on duration time of the voltage fluctuation data subsets in the target voltage fluctuation data subsets, determining duration confidence intervals based on the duration mean values and the duration standard deviations, taking the voltage fluctuation data subsets with duration time in the duration time confidence intervals in the target voltage fluctuation data subsets as target analysis subsets, extracting duration time sequences based on the target analysis subsets, wherein the duration time sequences comprise a plurality of duration time sequences which are arranged from small to large, extracting first quantiles of the duration time sequences, and taking the first quantiles as the first time period; The voltage fluctuation rate threshold lookup table is constructed based on historical load data and historical voltage data of a transformer, and is constructed by extracting historical load rates based on the historical load data, extracting historical voltage fluctuation rates based on the historical voltage data, performing time alignment on the historical load rates and the historical voltage fluctuation rates to obtain a plurality of historical data sample pairs, clustering the plurality of historical data sample pairs to obtain a plurality of historical data sample pair subsets, determining a load rate interval and a voltage fluctuation rate threshold corresponding to the load rate interval based on the historical data sample pair subsets for each historical data sample pair subset, and constructing the voltage fluctuation rate threshold lookup table based on all load rate intervals and voltage fluctuation rate thresholds corresponding to the load rate interval.
2. The transformer performance detection method according to claim 1, further comprising, after the extracting a voltage fluctuation rate based on the voltage data: If the voltage fluctuation rate is smaller than the first voltage fluctuation rate threshold, acquiring electrical parameters, winding temperature and mechanical parameters of the transformer in a third time period based on a first data acquisition frequency, wherein the time span of the third time period is smaller than the time span of the second time period and larger than the time span of the first time period; And determining the performance index of the transformer based on the electrical parameters, winding temperature and mechanical parameters of the transformer in the third time period.
3. The transformer performance detection method of claim 1, wherein the first data acquisition frequency is determined by: determining an initial data acquisition frequency based on the rated capacity and the insulation structure type of the transformer; Determining a first adjustment step length based on the service life, the load rate, the environment temperature and the historical fault repair times of the transformer, wherein the service life, the load rate and the historical fault repair times are positively correlated with the first adjustment step length, and the difference value between the environment temperature and a preset temperature threshold value is positively correlated with the first adjustment step length; And adjusting the initial data acquisition frequency based on the first adjustment step length to obtain the first data acquisition frequency.
4. The method of claim 1, wherein the electrical parameters include voltage data, current data, active power and power factor, the mechanical parameters include core vibration acceleration and vibration dominant frequency, and the performance indicators of the transformer include thermal stability sub-indicators, electrical stability sub-indicators, mechanical stability sub-indicators and insulating performance sub-indicators; The determining the performance index of the transformer based on the electrical parameter, the winding temperature and the mechanical parameter of the transformer in the first time period and the electrical parameter, the winding temperature, the mechanical parameter and the partial discharge amount of the transformer in the second time period comprises the following steps: determining a thermal stability sub-indicator of the transformer based on the winding temperatures of the transformer during the first time period and the second time period; Determining an electrical stability sub-indicator of the transformer based on voltage data, current data, active power and power factor of the transformer during the first time period and the second time period; Determining a mechanical stability sub-index of the transformer based on the vibration acceleration and the vibration main frequency of the iron core of the transformer in the first time period and the second time period; and determining the insulation performance sub-index of the transformer based on the partial discharge capacity of the transformer in the second time period.
5. A transformer performance detection system, comprising: the first data acquisition module is used for acquiring electrical parameters, winding temperature and mechanical parameters of the transformer in a first time period based on the first data acquisition frequency, wherein the electrical parameters comprise voltage data and load data; The first time period is determined by acquiring historical voltage data of a transformer, determining a plurality of voltage fluctuation data subsets based on the historical voltage data, calculating voltage fluctuation rates of the voltage fluctuation data subsets, taking the voltage fluctuation data subsets with the voltage fluctuation rates being greater than or equal to a second voltage fluctuation rate threshold as target voltage fluctuation data subsets, calculating duration mean values and duration standard deviations based on duration time of the voltage fluctuation data subsets in the target voltage fluctuation data subsets, determining duration confidence intervals based on the duration mean values and the duration standard deviations, taking the voltage fluctuation data subsets with duration time in the duration time confidence intervals in the target voltage fluctuation data subsets as target analysis subsets, extracting duration time sequences based on the target analysis subsets, wherein the duration time sequences comprise a plurality of duration time sequences which are arranged from small to large, extracting first quantiles of the duration time sequences, and taking the first quantiles as the first time period; The threshold value determining module is used for extracting voltage fluctuation rate based on the voltage data, determining a first voltage fluctuation rate threshold value based on the load data and a voltage fluctuation rate threshold lookup table, wherein the voltage fluctuation rate threshold lookup table is obtained by extracting historical load rate based on the historical load data and extracting historical voltage fluctuation rate based on the historical voltage data, performing time alignment on the historical load rate and the historical voltage fluctuation rate to obtain a plurality of historical data sample pairs, clustering the plurality of historical data sample pairs to obtain a plurality of historical data sample pair subsets, determining a load rate interval and a voltage fluctuation rate threshold value corresponding to the load rate interval based on the historical data sample pair subsets for each historical data sample pair subset, and building the voltage fluctuation rate threshold lookup table based on all load rate intervals and voltage fluctuation rate threshold values corresponding to the load rate interval; The second data acquisition module is used for acquiring the electrical parameters, winding temperature and mechanical parameters of the transformer in a second time period based on a second data acquisition frequency and acquiring the partial discharge capacity of the transformer in the second time period if the voltage fluctuation rate is greater than or equal to a first voltage fluctuation rate threshold value, wherein the time span of the second time period is greater than the time span of the first time period; and the performance detection module is used for determining the performance index of the transformer based on the electrical parameters, the winding temperature and the mechanical parameters of the transformer in the first time period and the electrical parameters, the winding temperature, the mechanical parameters and the partial discharge capacity of the transformer in the second time period.
6. An electronic device comprising a memory, a processor and a computer program stored in the memory and running on the processor, characterized in that the processor implements the steps of the method according to any of claims 1 to 4 when executing the computer program.
7. A computer readable storage medium storing a computer program, characterized in that the computer program when executed by a processor implements the steps of the method according to any one of claims 1 to 4.

Description

Transformer performance detection method and system Technical Field The application belongs to the technical field of transformer detection, and particularly relates to a transformer performance detection method and system. Background The transformer is core equipment for realizing electric energy transmission and voltage conversion in an electric power system, and the performance stability of the transformer is directly related to the safe operation of a power grid. The performance detection of the transformer generally comprises analysis and evaluation of indexes such as electrical performance, insulation performance and the like, and further comprehensively evaluates the running state of the transformer. With dynamic fluctuation of power load and expansion of power grid scale, the running environment of the transformer is increasingly complex, the risk of performance degradation is increased, and higher requirements are put on the timeliness and accuracy of detection. In the prior art, a fixed detection period and a fixed data acquisition strategy are mostly adopted in transformer performance detection, and performance evaluation is performed after preset parameters are acquired. However, the fixing strategy has the remarkable defects that on one hand, when the transformer is in a stable running state, high-frequency and long-span acquisition can generate a large amount of redundant data, so that the detection efficiency is low, the data storage and processing cost is increased, and on the other hand, when the transformer encounters abnormal working conditions, the fixed frequency cannot capture key performance changes, so that the detection accuracy is insufficient. Therefore, how to balance the efficiency and accuracy of transformer performance detection, and avoid resource waste and data loss caused by blind acquisition, is a technical problem to be solved in the art. Disclosure of Invention The application aims to provide a method and a system for detecting the performance of a transformer so as to improve the efficiency and the accuracy of the performance detection of the transformer. In a first aspect of an embodiment of the present application, a method for detecting performance of a transformer is provided, including: Acquiring electrical parameters, winding temperature and mechanical parameters of the transformer in a first time period based on the first data acquisition frequency, wherein the electrical parameters comprise voltage data and load data; Extracting a voltage fluctuation rate based on the voltage data, and determining a first voltage fluctuation rate threshold based on the load data and a voltage fluctuation rate threshold lookup table, wherein the voltage fluctuation rate threshold lookup table is constructed based on historical load data and historical voltage data of the transformer; If the voltage fluctuation rate is greater than or equal to the first voltage fluctuation rate threshold, acquiring electrical parameters, winding temperature and mechanical parameters of the transformer in a second time period based on the second data acquisition frequency, and acquiring the local discharge capacity of the transformer in the second time period, wherein the time span of the second time period is greater than the time span of the first time period; and determining the performance index of the transformer based on the electrical parameters, the winding temperature and the mechanical parameters of the transformer in the first time period and the electrical parameters, the winding temperature, the mechanical parameters and the partial discharge capacity of the transformer in the second time period. In a second aspect of an embodiment of the present application, there is provided a transformer performance detection system, including: the first data acquisition module is used for acquiring electrical parameters, winding temperature and mechanical parameters of the transformer in a first time period based on the first data acquisition frequency, wherein the electrical parameters comprise voltage data and load data; The system comprises a threshold value determining module, a voltage fluctuation rate determining module and a voltage fluctuation rate determining module, wherein the threshold value determining module is used for extracting voltage fluctuation rate based on voltage data and determining a first voltage fluctuation rate threshold value based on load data and a voltage fluctuation rate threshold lookup table; The second data acquisition module is used for acquiring the electrical parameters, winding temperature and mechanical parameters of the transformer in a second time period based on the second data acquisition frequency and acquiring the local discharge capacity of the transformer in the second time period if the voltage fluctuation rate is greater than or equal to the first voltage fluctuation rate threshold value; And the performance detection module is used for determining