作　　者： (郭晓川）; (黄颖）;

机构地区： 国网湖北省电力公司检修公司,湖北武汉430050

出　　处： 《电工电气》 2017年第9期32-35,共4页

摘　　要： 放电源的精确定位是保证变压器稳定运行、延长服役寿命的关键环节。通过两个标准测试函数对所提模拟退火混合粒子群算法进行测试,发现其对比普通粒子群(PSO)在稳定度及精度上均有所提升,将该方法应用于局部放电(PD)的定位模型中,发现该算法能够对变压器中的PD点进行精确定位,并对比自适应及普通粒子群算法所得结果精度均有提升,为现场定位试验需要提供了参考。 The accurate positioning of the discharge resource is the key to ensure the stable operation of the transformer and to prolong the service life. The proposed simulated annealing hybrid particle swarm algorithm was tested by two-standard test functions. It was found that the stability and precision of the result were higher than that of the general particle swarm optimization （PSO）. The positioning model of particle discharge （PD） with this algorithm could accurately locate the PD points in the transformer. Compared with the adap-tive and conventional particle swarm optimization algorithm, the accuracy of the results was improved, which provides references for site location tests.

关 键 词： 变压器 局部放电 混合粒子群 特高频 定位