摘要
电力变压器其绝缘状况对于电力系统的可靠性运行有重大影响。在现场运行中,局部放电是导致电力变压器绝缘劣化的重要原因之一,超声波检测是电气设备局部放电检测、空间定位中重要的非电测法,其定位的准确与否直接影响电气设备故障诊断和快速判断。本文针对传统算法易陷入局部最优、定位误差大的问题,提出了线性策略粒子群的智能优化算法,仿真结果验证了该算法具有全局最优,现场监测结果也证明了其算法的准确性和有效性。
Any problems of the insulation - fault on power transformer may significant to affect the reliability of power system. Partial discharge is one of the most important reasons to cause insulation degradation. Ultrasonic test is an important Non - electrical measuring and locating methods in partial discharge, The quick judgment for electrical equipment fault is directly influenced by its Locaring accuracy or otherwise. As the traditional optimized algorithms for location are easy to fall in lo- cal optima, this paper presents a modem intelligent algorithm of the linear strategy of particle swarm optimization ( PSO), which can find out global optima, the results of site monitoring is also show its high accuracy and efficiency.
出处
《无线通信技术》
2013年第1期41-45,共5页
Wireless Communication Technology
基金
国家自然科学基金(F050304)
国家科技部政府间科技合作项目(2009014)
关键词
局部放电
超声波
定位算法
粒子群
partial discharge
ultrasonic
location computed
PSO