电网故障诊断的遗传模拟退火算法研究  

Power grid fault diagnosis based on genetic simulated annealing algorithm

作　　者：付行 李春贵[2] 徐柏科 徐浩[1] 

机构地区：[1]广西科技大学电气与信息工程学院,广西柳州545006 [2]广西科技大学计算机学院,广西柳州545006

出　　处：《广西工学院学报》2013年第3期63-66,83,共5页Journal of Guangxi University of Technology

基　　金：广西科技攻关计划项目(桂科攻0992006-13)资助

摘　　要：针对电网出现的复杂故障,如断路器和保护不正常动作或多重故障等情况,结合新的故障诊断优化模型,应用遗传模拟退火优化算法进行故障诊断,寻找使构造的目标函数最小的最优解.将遗传算法和模拟退火算法结合,有效避免了遗传算法过早收敛和模拟退火算法全局搜索较差的缺点,解决了电网故障诊断结果多解和漏解的情况,实现了电网断路器和保护不正常动作的故障诊断.In view of the complex power grid failure, such as the circuit breaker and protection appearing abnormal movement, based on a new optimization model of fault diagnosis, this paper uses genetic simulated annealing algorithm for power grid fault diagnosis to look for optimal solution of the objective function. Genetic algorithm is easy to premature convergence and simulated annealing algorithm is poor in global search, while genetic simulated annealing algorithm can effectively avoid these problems and solve the problems of multiple solutions and leakage solution. The diagnosing function of some intricate faults such as the abnormal action of circuit breakers and protection has been achieved.

关 键 词：故障诊断 目标函数 断路器保护 遗传模拟退火算法 

分 类 号：TM76[电气工程—电力系统及自动化]