摘要
传统的遗传算法定位局部放电点易出现早熟现象而陷入局部最优解 ,本文针对这一情况 ,引入退火算法和聚类理论 ,通过实例证明 ,该方法能使计算跳出局部收敛而达到全局最优的目的 ,具有较好的收敛特性 。
Prematurity often occurs and global optimum result can't be obtained in locating of partial discharge in transformers by using traditional genetic algorithm .To solve this problem ,simulated annealing and clustering technology are introduced in this paper. The calculated results show that the improved algorithm contributes to the jumping out of the local optimum and the approaching of the global optimum of the system.
出处
《电力系统及其自动化学报》
CSCD
2003年第2期58-60,88,共4页
Proceedings of the CSU-EPSA
