应用模糊理论实现配电网单相接地故障判别  

Application of fuzzy set theory to single-phase-to-ground fault line detection

作　　者：康怡[1] 刘培跃[2] 王军芬[3] 

机构地区：[1]华北电力大学电气与电子工程学院,河北保定071003 [2]石家庄职业技术学院机电工程系,河北石家庄050081 [3]石家庄经济学院信息工程系,河北石家庄050031

出　　处：《华北电力大学学报（自然科学版）》2007年第3期6-11,共6页Journal of North China Electric Power University：Natural Science Edition

摘　　要：对中性点非有效接地系统单相接地故障特征和故障选线算法进行了研究,通常采用的单一故障选线方法只对部分故障信息进行处理,判据适应性差,选线可靠性不高。针对这一问题,把模糊理论应用于故障选线,根据利用各种故障信息的原则,在各个故障信息域内选择有效的算法,通过建立各算法的故障测度隶属函数和权系数隶属函数,融合各种故障信息,综合多种故障选线方法,使选线性能得到提高。高压动模实验故障数据验证了文中方法的正确性。The characteristics of single-phase-to-ground fault and algorithms of fault line selection in power network with neutral earthed via Peterson coil are researched. Traditional single fault line detection method using only some parts of fault information has poor reliability. Therefore, fuzzy set theory is introduced and applied in fault line detection. According to the principle of making use of all fault information, effective fault line detection methods are selected in every fault information field. Fault measure and weight coefficient subordinate function are structured to integrate all kinds of fault information and combine several fault line detection methods by which the detecting performance is improved greatly. Dynamic mould laboratory emulation results show that the new scheme has higher sensitivity and reliability.

关 键 词：配电网 单相接地故障 故障选线 模糊理论 隶属函数 

分 类 号：TM773[电气工程—电力系统及自动化]