基于有色自控Petri网的电网故障区域识别

Identification of fault area in power system based on colored self-modifying Petri nets

为减小电网故障搜索范围,避免对电网内所有元件依次进行故障判断,提出了一种基于有色自控Petri网的电网故障区域识别方法,有效地把故障诊断问题局限于一个或多个无源网络中。首先,针对断路器跳闸引起电网拓扑结构变化这一离散事件的动态过程,以Petri网作为建模工具,对全部元件赋予颜色属性并允许有向弧上有可变的权,构建用于电网故障区域搜索的有色自控Petri网模型。然后以Net Beans为开发环境,运用Java语言编程实现对故障区域的快速搜索。对某8节点测试系统的仿真结果表明:对于电网中存在的单重故障、多重故障以及保护和断路器有不正确动作的复杂故障,该方法均能快速准确地确定故障区域,有助于电网故障诊断的后续工作顺利进行。

In order to narrow the searching range of power system failure and avoid fault judgement of all components successively, an identification method of fault area in power system based on colored self-modifying Petri nets is proposed. Through this method, the fault diagnosis problem is limited to one or more passive network. First, a colored self-modifying Petri nets model used to detect the fault area is built based on Petri nets. This model can interpret the power network topology change, a discrete event dynamic process, caused by the breakers trip. All components are assigned with color attributes and the weights of some directed arcs are variable in the model. Then, searching of the fault area is realized by Java in the Net Beans, the developing environment of the software. Simulation results on 8-bus testing system indicate that the proposed method can detect the fault area rapidly and accurately against single fault, multiple fault and the complex fault with malfunctions of several protections and breakers. Furthermore, this method also contributes to smooth subsequent process of power system fault diagnosis.