摘要
为了给电力系统故障诊断提供决策依据,提出了一种基于停电区域和灰色理论的故障元件识别模型.在停电区域中,详细分析了保护和断路器工作原理,推导出故障状态时保护和断路器状态信息,并构造了元件故障模式状态向量及待检模式状态向量,给出了向量元素赋值规则,通过计算关联度,进而利用故障元件识别规则实现故障诊断的目的.最后,用算例验证了所提出模型和算法的有效性.
To provide some decision-making suggestions for fault diagnosis in power systems,a new model of identifying fault component is constructed by combining the power failure zone and gray theory.Firstly,the working principle of protective relays and circuit breakers are analyzed in detail within blackout area of power systems.Secondly,we derive the state information of protective relays and circuit breakers when fault in power systems appears,and then generate the state vectors of fault mode and test mode of components.Based on this,the correlation degree between components of vectors may be calculated by assignment rules which are given,thus the goal of fault diagnosis could be achieved according to indentifying rule of fault component.Finally,a computing example showeds that proposed method and model are effective and reasonable.
出处
《湖北民族学院学报(自然科学版)》
CAS
2013年第1期43-46,共4页
Journal of Hubei Minzu University(Natural Science Edition)
基金
国家自然科学基金项目(61004118)
重庆市自然科学基金项目(CSTC
2011A70007)
重庆交通大学博士启动基金项目(07-01-12)
关键词
电力系统
故障诊断
停电区域
灰色系统理论
关联度
power systems
fault diagnosis
power failure zone
gray system theory
correlation degree