基于模糊逻辑的高压输电线路故障类型识别新方法  

Fuzzy logic based high voltage transmission line fault type recognition

作　　者：姜惠兰[1] 梁昭君[1] 杨维[1] 徐建强[2] 

机构地区：[1]天津大学,天津300072 [2]大庆石油管理局,黑龙江大庆163000

出　　处：《电工电能新技术》2004年第1期60-63,共4页Advanced Technology of Electrical Engineering and Energy

摘　　要：本文在对高压输电线路故障类型识别原理及实现方法进行总结分析的基础上,利用模糊集合理论适用于求解具有不确定信息或具有不确定线性划分关系问题的优势,提出了基于模糊逻辑具有分层结构的输电线路故障类型识别新方法。仿真结果表明,本文所提方法不仅能正确识别高压输电线路的故障类型,而且还不受输电线路系统模型结构的限制,具有较强的通用性和实用性。On the basis of analyzing the high- voltage transmission line fault type recognition principles and implementation methods, this paper taking advantage of the superiority that fuzzy set theory is suitable for solving the problem with uncertainty information or uncertainty linear division relations, presents a new method of identifying high voltage transmission line fault type with hierarchical structure characteristic. The simulation results have shown that the proposed method can recognize fault types correctly and is suitable to the non- linear divisible case appeared possibly in fault pattern space, and to any kind of the transmission line system model structure as well, and therefore its generality and practicability can be ensured.

关 键 词：输电线路 故障类型 模糊逻辑 人工智能 

分 类 号：TP277[自动化与计算机技术—检测技术与自动化装置]