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基于经验模态分解的高压输电线路运行故障在线监测方法

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为了确保高压输电线路的安全稳定运行,基于经验模态分解算法,提出一种高压输电线路运行故障在线监测方法.首先,实时采集高压输电线路运行数据,并对采集到的数据进行标准化处理.其次,利用经验模态分解算法,从处理后的数据中提取高压输电线路运行故障特征.在此基础上,定位线路运行故障区段,对故障区段实行在线监测.实验结果表明,该在线监测方法的在线监测结果的精确度较高,更加接近实际故障情况,在线测距误差最大不超过 0.12%.
Empirical Mode Decomposition-based Online Fault Monitoring of High Voltage Transmission Lines
In order to ensure safe and stable operation of high voltage transmission lines,an empirical mode decomposition algorithm is introduced and an online fault monitoring method is proposed.First real-time collection of high voltage trans-mission line operation data and standardized processing of the collected data are carried out.Second the operating fault characteristics of HV transmission lines are extracted from the processed data by the empirical mode decomposition algo-rithm,and consequently used to determine and online monitor faulty sections.The experiment shows that after the appli-cation of the proposed online monitoring method can achieve results always close to actual fault situation and online ran-ging errors lower than 0.12%.

empirical mode decompositionhigh voltagetransmission lineonlineoperation failuremonitoring

黄荣正

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国网绍兴供电公司,浙江 绍兴 312000

经验模态分解 高压 输电线路 在线 运行故障 监测

2024

电工技术
重庆西南信息有限公司(原科技部西南信息中心)

电工技术

影响因子:0.177
ISSN:1002-1388
年,卷(期):2024.(17)