基于适应型Petri网的电网故障诊断方法

建立了以断路器、继电保护装置的动作情况与假设故障的适配指标为目标函数的优化模型，将适应型Petri网的分析方法与电网故障诊断方法相结合，通过分析故障推理过程中的时间标签和变迁标识集合、比较故障元件的标识变化，评价保护设备的动作情况，使各分析单元能够在较多的可能出现故障的元件集中识别出真正的故障元件。采用变更基本单元使能序列的方法求取上述最优目标函数值，实现了对电网故障的诊断与识别。IEEE-118 母线标准测试系统局部网络的仿真结果验证了上述模型和方法的正确性和有效性，表明该方法具有过程简单、易于实现、计算速度快、网络分析能力强等优点。

An Adaptive Petri Network Based Approach to Diagnose Power Network Faults

An optimized model,in which the action situation of circuit breakers and protective relayings as well as the adaptation indices of assumed faults are taken as objective function,is built. Combining the analysis method of adaptive Petri network(APN) with power network fault detection methods and by means of analyzing the set of time label and in fault reasoning process and transition flag,comparing the flag change of faulty element,the action situations of protective devices are evaluated;thus the analyzing units can recognize the real faulty element from the set of elements that may possibly be in trouble. By use of changing the enable sequence of basic units,the value of above-mentioned objective function is calculated,so the diagnosis and recognition of power network faults are implemented. Simulation results of partial network of IEEE 118-bus testing system validate the correctness and effectiveness of above-mentioned model. The proposed method is fast,simple and easy to realize,and its network analysis capability is acceptable.