The Study On Fault Diagnosis And Location In The Distribution System Of Intelligent Buildings

With the rapid development of intelligent buildings in our country,people have a higher requirement of each aspect of reliability,safety and stable operation.If the distribution system of intelligent buildings is out of order,it will not only have a direct impact on daily life of tenants inside the buildings.What's worse,it will even cause.Even huge property losses and heavy casualties.Therefore,it is very significant to study the fault diagnosis,location and recovery of the distribution system in intelligent buildings.This issue will analysis the topological structure and fault feature to ascertain its fault type.With which combining the characteristics of the distribution system in intelligent buildings it is proposed a kind of algorithm on fault diagnosis based on pattern recognition.According to the characteristics of the distribution system in intelligent building,this paper confirms the fault type based on analysis of the topological structure and fault feature.And another kind of algorithm on fault location is proposed which is based on dragonfly algorithm of wavelet neural network.Compared with other algorithms the two algorithms proposed in this paper can achieve better the fault diagnosis and location of distribution system.At last,this paper puts forward the corresponding restoration strategy of the distribution system for intelligent buildings.This paper focuses on the analysis and extraction of the distribution network on intelligent building and the research of fault diagnosis and location algorithm are the focus of this paper.The main contents of this paper are as follows:(1)It will describe and analyze the network topology according to the characteristics of the distribution network.(2)It will analyze the fault characteristics of common faults in the distribution network of intelligent buildings by the three-phase component method.Four kinds of the distribution network fault types are decided,single phase short circuit,two-phase interphase short circuit,two-phase ground short,three-phase and short circuit.And two power equipment faults are circuit breaker fault and bus fault.(3)An algorithm of fault diagnosis for the distribution network of intelligent buildings has been proposed which is based on pattern recognition.Transform wavelet by the magnitude,phase angle and the amount of energy.According to the method of electrical fault characteristics and combination of various weights obtained by simple Bayesian inference components switch combination.As the characteristic information of Bayesian network,the fault diagnosis of power supply and distribution network can be done well.(4)This paper presents a fault location algorithm for the distribution network of intelligent buildings based on Wavelet Neural Network with dragonfly algorithm In this paper,the connection weight value and thresholds of wavelet neural network are used as the position vector of dragonfly,and the weight value and the position vector of dragonfly are applied to seek the optimal value.Compared with other algorithms,this algorithm can locate the fault quickly and accurately.(5)According to the characteristics of the distribution network fault in intelligent buildings,this paper puts forward the corresponding restoration strategy...