基于GA与RS的电力系统输电线路故障诊断  

Fault diagnosis of transmission lines in power system based on GA and RS

作　　者：宋玉琴[1] 程诚[1] 赵洋[1] 李超[1] 

机构地区：[1]西安工程大学电子信息学院,西安710048

出　　处：《电子测量技术》2017年第11期81-84,共4页Electronic Measurement Technology

基　　金：陕西省教育厅科研计划(15JK1312);西安市科技计划(CXY1517(1))资助项目

摘　　要：针对电力系统中存在着各种故障,及断路器跳闸进而引起大范围停电的情况,提出了一种基于建模-简约-优化的多源信息融合的智能故障诊断方法。通过对电力系统输电线路故障的原因分析,确定基于遗传算法的故障诊断规则。再利用粗糙集理论对故障动作决策表进行最大限度的约简,此方法保留了关键信息同时得到了知识的最小表达,能够更快更准确的诊断出故障发生的位置。通过实验证明:文中所提出故障诊断模型高效便捷,可应用于大型电力系统的故障诊断,尤其是输电线路方面的故障诊断,在诊断电力线路故障方面提供了一个切实有效的方法。For there are all kinds of faults in the power system, and the condition of the circuit breaker tripped and caused widespread power outages, this paper proposes a modeling - simple - optimization of multi-source information fusion of intelligent fault diagnosis methods. Through analyzing the cause of the power system transmission line fault, determined based on the genetic algorithm （GA） of the fault diagnosis rules. Using rough set （RS） theory, the RS to the maximum fault decision table is reduced, this method preserves the key information obtained the minimum expression of knowledge at the same time, to be able to more quickly and accurately diagnose the fault location. Experiments proved that the proposed fault diagnosis model is efficient, for the diagnosis of power line fault provides an effective method. Through analyzing the cause of the power system transmission line fault, the fault diagnosis rules based on genetic algorithm is determined. Using rough set theory to the maximum fault decision table is reduced, this method preserves the key information obtained the minimum expression of knowledge at the same time, to be able to more quickly and accurately diagnose the fault location. Experiments proved that the proposed fault diagnosis model is efficient and can he applied to fault diagnosis of large power system, especially for transmission line fault diagnosis, the diagnosis of power line fault provides a practical and effective method.

关 键 词：遗传算法 粗糙集理论 输电线路 故障诊断 

分 类 号：TP227[自动化与计算机技术—检测技术与自动化装置]