期刊文献+

基于支路元件关联矩阵建模与MPGSA算法的电网故障诊断

Fault diagnosis of power grid based on branch element correlation matrix modeling and MPGSA algorithm
下载PDF
导出
摘要 电网发生故障后,快速准确地诊断出故障元件并切除故障元件是保障电网正常运行的重要前提。对电网结构、保护配置及断路器的动作规则进行分析,将可疑元件状态、保护和断路器误动或拒动的状态引入故障假说,针对可疑故障母线和线路分别建立目标函数,并引入各级保护之间的影响因子进行修正。通过深入挖掘电网各元件之间的拓扑关联关系,提出基于支路元件关联矩阵的自动建模方法。采用改进模拟植物生长算法(MPGSA)对IEEE14节点仿真验证,算例结果表明所提方法可有效提高故障诊断的容错性和准确性,具有较好的应用前景。 After the failure of the power grid, it is important to diagnose and remove the fault components quickly and accurately so as to ensure the normal operation of the power grid. Analyzing the power grid structure, protection configuration and operation rules of circuit breaker, the states of suspected components and the malfunction conditions of protective relays and circuit breakers are imported into the fault hypothesis. The objective function is established respectively for suspicious fault buses and fault lines, and the influence factors among different levels of protections are introduced for correction. An automatic modeling method based on branch element correlation matrix is proposed after deeply excavating into the topological relations among the grid components. Finally, modified plant growth simulation algorithm(MPGSA) is used in IEEE 14-bus system and the results of examples show that the proposed method has a good application prospect since it can effectively improve the fault tolerance and accuracy of diagnosis.
作者 倪良华 徐祺文 吴春阳 张东东 吕干云 Ni Lianghua;Xu Qiwen;Wu Chunyang;Zhang Dongdong;Lv Ganyun(Nanjing Institute of Technology,Nanjing 210000,China)
机构地区 南京工程学院
出处 《电测与仪表》 北大核心 2022年第9期160-168,共9页 Electrical Measurement & Instrumentation
基金 江苏省高等学校自然科学研究重大项目(2019052) 江苏省自然科学基金项目(BK20181021) 南京工程学院大学生科技创新基金项目(TB201916033)。
关键词 故障诊断 支路元件关联矩阵 改进优化模型 MPGSA fault diagnosis branch element correlation matrix improved optimization model MPGSA
  • 相关文献

参考文献15

二级参考文献199

共引文献673

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部