提出了一种基于声电到达时间差的麻雀定位算法,以提高变压器局部放电定位精度.在 COMSOL中搭建简易变压器模型并仿真出精确的时延信息,对比多种算法对局部放电的求解误差.仿真结果显示麻雀搜索算法相比其他传统智能算法定位结果更精准.搭建模拟局部放电的实验平台,内置仿真模型为板-板故障缺陷,模拟计算出所提出的方法下的故障点定位误差最大不超过 9.61 cm.
Abstract
Aiming at addressing the insufficient localization accuracy of partial discharge(PD)for transformers,a sparrow search algorithm(SSA)utilizing acoustic-electric arrival time difference for determining PD location was proposed in this work.A simulative transformer model was built in COMSOL and the accurate delay data were simulated,hence conse-quently enabling deviation comparison among multiple algorithms for solving PD location which indicated the superior lo-calization result accuracy of the SSA algorithm to the selected conventional intelligent algorithms.Moreover,a simulative PD experimental platform with a built-in board-to-board fault defect model was established,through which the calculation results of the proposed method for PD localization was confirmed to maintain within 9.61 cm.
关键词
局部放电定位/COMSOL仿真/麻雀搜索算法/声电联合检测/时间差
Key words
localization of partial discharge/COMSOL simulation/SSA/sound-electric cooperative detection/time difference
维普
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