基于编码PETRI网的电力系统故障诊断模型研究

POWER SYSTEM FAULT DIAGNOSIS MODELING TECHNIQUES BASED ON ENCODED PETRI NETS

文中对基于编码原理和Petri网建模方法的电力系统故障诊断进行了进一步的研究,介绍了冗余嵌入Petri网、Petri网的故障模型及根据范德蒙矩阵构造生成矩阵的方法;重点分析了电力系统元件故障诊断Petri网模型的特点:母线及线路的Petri网模型的标准型与电网规模无关等;提出了电网拓扑结构发生变化时模型的快速修正方法,即根据模型标准型进行添加或删减,以使该方法更加适应大型电网多变的运行方式。以IEEE-118母线系统为例验证了故障诊断的正确性和模型修正方法的快速性。最后,经对文中方法和文献中的另外2种方法进行比较,证明文中方法具有诊断速度快,精度高,具有电网拓扑结构变化能力,适用于大型电网故障诊断。

In this paper, using Petri Nets and coding theory to perform fault diagnosis in power system is further studied. Previous research work is briefly reviewed, including embedded Petri nets, Petri net＇s fault models and the construction of the generator matrix according to Vander monde matrix. Characteristics of Petri Nets model in power system fault diagnosis and identification are demonstrated in detail, which mainly are standard matrices of the Petri nets models of busbar and transmission line and the Petri Nets model is not affected by the scale of power networks, especially a fast model revision algorithm of power components, that is the fast revision of the standard matrices, is proposed, which make the scheme more applicable to large-scale power network. The method is tested in the IEEE 118-bus power system and simulation results show that the suggested approach is accurate as combined with error correction theory, model revision is easy, fast in the case of power network expansion or topology change, which significantly improves the application potential of Encoded Petri Nets method in real power system.