杨健维, 何正友. 基于时序模糊Petri网的电力系统故障诊断[J]. 电力系统自动化, 2011, 35(15): 46-51.
引用本文: 杨健维, 何正友. 基于时序模糊Petri网的电力系统故障诊断[J]. 电力系统自动化, 2011, 35(15): 46-51.
YANG Jian-wei, HE Zheng-you. Power System Fault Diagnosis Approach Based on Time Sequence Fuzzy Petri Net[J]. Automation of Electric Power Systems, 2011, 35(15): 46-51.
Citation: YANG Jian-wei, HE Zheng-you. Power System Fault Diagnosis Approach Based on Time Sequence Fuzzy Petri Net[J]. Automation of Electric Power Systems, 2011, 35(15): 46-51.

基于时序模糊Petri网的电力系统故障诊断

Power System Fault Diagnosis Approach Based on Time Sequence Fuzzy Petri Net

  • 摘要: 提出了基于时序模糊Petri网的电力系统故障诊断方法,重点分析了故障诊断模型的特点,给出了电网拓扑结构发生变化时模型的快速修正方法,充分合理地利用了保护和断路器动作信息的时序属性,提出了动作信息不完备情况下的纠错算法,可较好地完成继电保护的动作评价。以14节点系统为例验证该诊断方法的准确性和模型修正方法的快速性。与已有方法的比较表明,该方法诊断速度快、精度高,具有适应电网拓扑结构变化的能力,适用于大型电力系统故障诊断。

     

    Abstract: Power system fault diagnosis approach based on fuzzy Petri net in consideration of time sequence is proposed.By analyzing the characteristics of a fault diagnosis model,a fast modify method of the model when network topology structure changes is presented.Through full and reasonable using time sequence property of operation information of circuit breakers and protection,a correction algorithms is proposed in case of incomplete information of relay operations,and a better operation evaluation for relay protection can be completed.As an example,a 14-bus system is tested to verify the accuracy of diagnostic methods and the fastness of model updating method.In comparing with existing methods,the novel method proposed has better accuracy and higher speed,and can adapt to the network topology changes and in favor of large power system fault diagnosis.

     

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