Method Research Of A Power Network Fault Detection Based On Improved Petri Algorithm

As we all know,the power system plays an irreplaceable role in the vigorous development of our country’s economy,not only affecting the people’s living standards,but also affecting the development trend of social harmony.From the current point of view,the core work of the power system is to ensure its safety and reliability.Petri nets are widely used in discrete problems.The parallel processing capability of this method is considerable,and its corresponding graphical representation capability is also very prominent.On this basis,fuzzy Petri nets and weighted fuzzy Petri nets are formed.The latter effectively combines Petri nets with fuzzy logic methods and expresses confidence with probability.The weights are trained accordingly for practical applications.In recent years,relevant scholars have integrated various methods into the fault diagnosis of the power system.However,the methods used have the following drawbacks:the model has poor adaptability and the construction process is more complicated.The corresponding maintenance work is difficult.Loss of information can easily make the results wrong.In order to solve these problems,this paper takes 220kV power system model as the actual research object,and conducts fault diagnosis research on single fault and multiple faults.The concept of weighted fuzzy Petri net is introduced in the fault diagnosis of power grid.The specific research content is as follows Shown.First of all,the original fuzzy Petri net has been deeply researched and analyzed,and a new type of Petri net model is formed on this basis,which effectively improves the corresponding detection performance of the fuzzy Petri net.Using relevant information such as protection and circuit breaker,the probability value corresponding to the initial identification is calculated by the fuzzy method,and then the uncertainty corresponding to the action of the protection and circuit breaker is described.Secondly,the fuzzy Petri net is used to construct the corresponding lead-out model of each component.The types of components include bus bar,line and transformer.Based on the faulty network corresponding to the suspicious component,a specific analysis of the corresponding primary topology is carried out to improve its adaptability.There are many problems in the application of Petri net in complex fault diagnosis,such as adaptive difference and too large matrix dimension.In order to solve these problems,the corresponding simplification method of Petri net is introduced,and a fuzzy Petri net model based on direction weighting is established.Constructing the corresponding Petri network in each connection direction of the faulty component not only reduces the corresponding dimension of the matrix,but also improves the corresponding adaptability of the model,and effectively reduces the model scale.Finally,on the basis of the Petri net,the fuzzy hyperbolic tangent function is incorporated to further optimize the diagnosis effect.