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机构地区:[1]兰州交通大学自动化与电气工程学院,兰州730070 [2]西北民族大学电气工程学院,兰州730030 [3]甘肃省电力公司检修公司,兰州730050
出 处:《高电压技术》2015年第10期3313-3319,共7页High Voltage Engineering
基 金:国家自然科学基金(61165006)~~
摘 要:针对750 k V变电站线路的复杂性、双重化保护配置,以及异常时报警信息量庞大和传统故障诊断中诊断信息源不全面等特点,提出了基于粗糙集和灰关联分析的冗余保护配置的750 k V变电站故障诊断方法。该方法根据750 k V变电站的电压等级特性,将其划分为3个区域,并根据每个区域的接线特点进行分区处理。再利用故障录波信息和双套保护信息,基于粗糙集的知识获取方法构建诊断决策表,通过简化决策表,获得最小属性约简表。在此基础上建立比较序列与参考序列,采用灰关联分析确定约简表中属性的灰关联度和决策属性中可疑故障元件的灰关联可信度,获得明确的诊断结果。仿真结果表明该方法降低了变电站的网络拓扑结构和求解的复杂度,提高了对诊断知识的分类和识别能力以及诊断效率。As the 750 kV substations have the characteristics like the complexity of lines, dual protection configuration, a large amount of alarm information, and incomplete information source in the traditional fault diagnosis, we proposed a diagnosis method of 750 kV substation with redundant protection configuration based on rough sets and grey relational analysis. In this method, the 750 kV substations were divided into three regions according to the voltage grade characte- ristics and each region was divided according to the characteristics of electrical connection. Afterwards, the diagnosis decision table was constructed and simplified by using the information about wave-recording devices and two protective devices, and the minimal reduction could be obtained by using knowledge acquisition method based on rough set. There- by, the comparative sequence and reference sequence was established. Through the use of grey relational analysis, the grey relational grade of attributes and the grey relational credibility of suspicious fault components were determined in the reduction table, and a certain diagnosis result was obtained. The simulation results show that the proposed method can reduce the complexity of network topology and solving substations, and improve the ability of classification and identifi- cation and the diagnostic efficiency.
关 键 词:750KV变电站 冗余保护 故障诊断 诊断决策表 粗糙集 灰关联分析
分 类 号:TM63[电气工程—电力系统及自动化]
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