基于支路元件关联矩阵建模与MPGSA算法的电网故障诊断

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。

Power grid fault diagnosis based on branch element correlation matrix modeling and MPGSA algorithm

After the failure of the power grid, it is important to diagnose and remove the fault components quickly and accurately in order 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 this method has a good application prospect since it can effectively improve the fault tolerance and accuracy of diagnosis.