改进Tabu优化算法在地区电网故障诊断的应用  

Application of fault diagnosis for district subnetworks based upon evolutionary Tabu Search algorithm

作　　者：李文清[1] 刘前进[1] 姜伟[1] 

机构地区：[1]华南理工大学电力学院,广东广州510641

出　　处：《继电器》2008年第1期67-72,共6页Relay

摘　　要：基于优化算法的电网故障诊断是将电力系统故障诊断描述为优化问题后用优化方法求解。提出了基于改进Tabu搜索算法的电力系统故障诊断的新方法。以覆盖集理论为基础,把电力系统警报处理问题表示为0-1整数规划问题,并引入了一种新的评估指标,确保了全局最优解,并极大地满足了电网实时性的要求。最后用一个全新算例来证明计算结果的可靠性与快速性,结果表明以改进TS为基础的方法能够满足地区电网故障诊断的要求。Optimization algorithm for fault diagnosis of electrical power system is to describe fault diagnosis as optimization problem and then solve that by optimization method. A new approach to fault diagnosis based upon developed Tabu Search algorithm is proposed in the paper. Based on set covering theory, alarm processing problem is first expressed as 0-1 integer programming problem, a new criterion on describing alarm processing problem is proposed to ensure global optimal solution and extremely satisfy the need of network celerity. Eventually, a typical 152 node systemic case is served to demonstrate probability of reliability and celerity quality of computed results, the test results suggest that evolutionary TS based method is more efficient than existing optimization algorithm.

关 键 词：故障诊断 改进Tabu搜索 覆盖集理论 

分 类 号：TM76[电气工程—电力系统及自动化]