基于MCSPO-MUSIC算法的换流阀绝缘板沿面放电定位方法

Surface Discharge Location Method of Insulation Board in Converter Valve Based on MCSPO-MUSIC Algorithm

绝缘板是换流阀中不同级阻尼电容间的重要绝缘设备,其长时间运行并且表面积污遇潮后,出现的沿面放电现象将会影响阻尼电容间的绝缘乃至换流阀的安全运行。近年来,声阵列定位检测高压设备局部放电的技术发展逐渐成熟。因此基于排布较优的4×4方形声音传感器阵列,提出了一种MCSPO-MUSIC定位算法。该算法利用CBF预估出来的角度,作为混沌粒子群算法进行角度寻优的初值,且不需要遍历寻优。在MATLAB中进行定位仿真,该算法计算时间约为1.5 s左右,相较于传统MUSIC算法在计算时间上减少了一个数量级;仿真定位误差RMSE为1.54°小于MUSIC与CPSO-MUSIC算法。在实验室中搭建出绝缘板沿面放电定位检测平台,利用该算法计算了10组实验数据,定位误差RMSE为1.97°,验证了该算法的准确性和实用性。

Insulation board is an important insulating equipment between capacitance of different damping in converter valve.The surface discharge will affect the insulation effect between the damping capacitors and even the safe operation of the converter valve when it has operated for a long time and the surface is in pollution and damp state.In recent years,the application of technology of acoustic array location in detecting partial discharge in high voltage equipment has been developed gradually.Therefore,based on the of 4×4 square sound sensor array of optimal arrangement,this paper proposes a MCSPO-MUSIC localization algorithm.The angle estimated by CBF was used as the initial value of the angle optimization of chaos particle swarm algorithm without traversal.The positioning simulation in MATLAB shows that the calculation time of this algorithm is about 1.5 s,which is an order of magnitude less than that of the traditional MUSIC algorithm.The simulation positioning error RMSE of 1.54°is smaller than that of MUSIC and CPSO-MUSIC algorithm.We then established a detection platform of surface discharge positioning of insulation board.Ten sets of experimental data were calculated with this algorithm,and the positioning error of RMSE was 1.97°.This verifies the accuracy and practicability of the algorithm.