Abstract
AbstractElectrical power distribution network is an integral part of electrical power systems since it is the last stage in the delivery of electricity to customers. The distribution network is responsible for distributing power to consumers at desired voltage levels with higher reliability. Alternating Current (AC) three phase four-wire structure is the standard distribution system that exists throughout the world. With the growth in urban population and development of industries, distribution grids now consider a considerable amount of power. The large number of lines in a distribution system experience regular faults which lead to high values of line currents. In the present work, an alternate solution to the problems related with interruptions by means of a statistical modeling of current sample database is applied to determine the fault location in power distribution systems in order to reduce the system restoration time. The current samples collected from the sample distribution systems are subjected to FCM to obtain clusters and fed to expectation–maximization algorithm. It gives an edge over the conventional impedance-based methods and also the problem of multi estimation has been successfully dealt.KeywordsFuzzy cluster meansExpectation–maximization algorithmFault classificationDistribution system
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