Grid Fault Diagnosis Based on Improved Hierarchical WFPN
Aiming at improving the accuracy of the grid fault diagnosis model and solving the complexity of model construction due to the increase or decrease of model components,an improved hierarchical weighted fuzzy Petri net(WF-PN)grid fault diagnosis method based on the improved hierarchical weighted fuzzy Petri net(WFPN)is proposed.First-ly,the two-layer model of fault sub-model and comprehensive model was established according to the fault components and the direction of fault propagation,which solves the complexity of model construction caused by the increase or de-crease of components.Secondly,the input weights were optimized by the optimized combination of weight method on the basis of the subjective assignment method,which makes the fault diagnosis results have a higher accuracy.Finally,through the simulation analysis of the 14-node power systems in the face of incomplete information and protection or cir-cuit breaker rejection,the WFPN grid fault diagnosis method can still provide reliable fault diagnosis results and has high fault tolerance.
power gridfault diagnosishierarchical weighted fuzzy Petri netfault tolerance
万方数据
维普
