基于智能优化的模糊Petri网的电网故障诊断

为了提高电网复杂故障时的应对能力,提出了基于信息优化的动态建模模糊Petri网的电网故障诊断方法。首先,基于层次建模的思想,在建立常规故障诊断模型的基础上,引入动态库所、动态弧、动态变迁的概念来合理地拟合各种保护与断路器之间的逻辑关系,动态建立综合性故障的诊断模型;其次,依据故障信息源的特性对其进行了优化和预处理,以确定故障性质并动态建立相应故障诊断模型;再次,利用智能优化算法对模型进行了训练、学习;最后,分析了该模型在故障信息缺失时的容错性和在系统架构改变时的通用性。对算例系统仿真的结果表明:该算法显著地增加了故障诊断过程的层次性、诊断模型的透明性、可理解性和易维护性,在故障信息缺失的情况下诊断结果具有较高的可信度。

Fault Diagnosis of Power Grid Based on Intelligent Optimization Fuzzy Petri Net

In order to improve the ability to deal with complex faults of power grid,a dynamic modeling fuzzy Petri net based on information optimization was proposed.Firstly,based on the idea of hierarchical modeling and the establishment of conventional fault diagnosis model,the concepts of dynamic place,dynamic arc and dynamic transition were introduced to reasonably fit the logical relationship between various protections and circuit breakers,and the comprehensive fault diagnosis model was established dynamically.Secondly,according to the characteristics of fault information source,the optimization and preprocessing were finished to determine the fault nature and the corresponding fault diagnosis model was established dynamically.Thirdly,the intelligent optimization algorithm was used to train and learn the model.Finally,the fault tolerance of the model when the fault information is missing and the universality when the system architecture changes were analyzed.The simulation results show that the algorithm significantly increases the hierarchy of fault diagnosis process,the transparency,comprehensibility and maintainability of the diagnosis model,and the diagnosis results have high reliability when the fault information is missing.