反面选择算法在铁磁谐振过电压信号分析中应用的研究  

Fault detection approach of overvoltage in neutral grounded system based on negative-selection algorithm

作　　者：刘凡[1] 曾宏[1] 许安[1] 刘平[1] 聂鸿宇 甘德刚[1] 

机构地区：[1]四川电力试验研究院,四川成都610072

出　　处：《电力系统保护与控制》2009年第15期23-26,41,共5页Power System Protection and Control

摘　　要：生物免疫系统的主要功能是检测和杀伤来自生物体内外称为抗原的非己物质,受免疫系统自己——非己识别过程的启发提出的反面选择算法能检测出任何异常变化。结合中性点直接接地系统中时有发生的铁磁谐振过电压类型识别对反面选择算法展开研究,通过诊断实例表明,该算法可以有效进行铁磁谐振过电压故障类型的分离,并能够反应出该类型过电压故障的严重程度。The main task of an immune system is to detect and eliminate the non-self materials called antigens such as virus ana cancer cells which come from inside and outside of the living system. A negative selection algorithm proposed is able to detect any change, which is inspired by the negative selection mechanism of an immune system. Combined with the ferroresonance over voltage in neutral grounded system, the research of negative selection algorithm indicates that it is suitable for the fault diagnosis of the system. The case also displays that the algorithm could identify the types of the ferroresonance over voltage and response the severity level of the over voltage.

关 键 词：中性点直接接地系统 铁磁谐振过电压 反面选择算法 人工免疫 

分 类 号：TM864[电气工程—高电压与绝缘技术]