微型电脑应用2025，Vol.41Issue(7)：271-275,5.
基于粒子群优化算法的电网低频低压减载装置故障检测方法
Fault Detection Method for Low-frequency and Low-voltage Load Shedding Device of Power Grid Based on Particle Swarm Optimization Algorithm
周迎伟 1何莹 1高明亮 1刘佳言 1李世杰2
作者信息
- 1. 国网冀北电力有限公司承德供电公司,河北,承德 067000
- 2. 北京科东电力控制系统有限责任公司,北京 100192
- 折叠
摘要
Abstract
When a malfunction occurs in the low-frequency and low-voltage load shedding device of the power grid,it has a cor-responding impact on the overall working life of the power grid.Therefore,a fault detection method for the low-frequency and low-voltage load shedding device of the power grid based on the particle swarm optimization algorithm is proposed.The pro-posed method learns the working principle of the low-frequency and low-voltage load shedding device,utilizes the intrinsic time-scale decomposition(ITD)method to obtain the transient frequency of fault signals,analyzes the characteristics of the fault sig-nals,improves the particle swarm optimization algorithm,constructs evaluation functions,and accomplishes the fault detection of the low-frequency and low-voltage load shedding device of the power grid.The experimental results demonstrate that the proposed method not only performs well in detecting the voltage change rate at the fault location but also enables efficient detec-tion of various faults in different environments.关键词
粒子群优化算法/低频低压减载装置/故障检测/故障特征/信号提取Key words
particle swarm optimization algorithm/low-frequency and low-voltage load shedding device/fault detection/fault characteristic/signal extraction分类
信息技术与安全科学引用本文复制引用
周迎伟,何莹,高明亮,刘佳言,李世杰..基于粒子群优化算法的电网低频低压减载装置故障检测方法[J].微型电脑应用,2025,41(7):271-275,5.
