OPLC Fault Diagnosis Based On Dynamic Adaptive Fuzzy Petri Net

In recent years,with the improvement of China's economic level,the speed of development of power grid has also increased,and the importance of power grid intellectualization has become increasingly prominent.In order to meet the needs of the times,the State Grid has introduced the PFTTH using optical fiber composite low-voltage cable as transmission media.Optical fiber composite low-voltage cable(OPLC)is an organic component of optical unit structure and power cable.Therefore,OPLC does not need to repeat the layout of lines,which greatly reduces the economic cost and has a broad application prospect in the promotion of home-to-home and intelligent power grid..Due to the improvement of automation of power equipment,the possibility of OPLC fault is increased,and the damage can not to be underestimated.Therefore,the importance of fault diagnosis is obvious.Firstly,this paper analyses the structure and characteristics of OPLC,introduces the basic knowledge of Petri net and its operation rules,studies the principle and knowledge expression of fuzzy Petri net,and analyses the knowledge solving method and reasoning rules of fuzzy Petri net.Secondly,the dynamic adaptive fuzzy Petri net algorithm is analyzed,and its transition transmission rules are studied.The fuzzy Petri net model is constructed by taking common faults as an example.The correctness and validity of the dynamic adaptive fuzzy Petri net model are verified by the algorithm flow.Finally,this paper proposes an OPLC fault diagnosis method based on dynamic adaptive fuzzy Petri net.The corresponding rules of OPLC fault characteristics and fault types are constructed through cable fault diagnosis test and monitoring test for optical power value.According to the reasoning rules,a dynamic adaptive fuzzy Petri net(DAFPN)model for OPLC fault diagnosis is established.The BP neural network algorithm is used to learn and train the relevant parameters such as weights and thresholds in the DAFPN model,so as to reduce the errors caused by human subjective factors.Finally,the DAFPN is used to diagnose the OPLC faults.The results show that the method can adapt to the updating of fuzzy knowledge in expert system more dynamically and improve the accuracy of fault diagnosis of OPLC effectively than using fuzzy Petri net alone.