Discrimination of the fault types based on fuzzy neural network

The discrimination method of the fault types based on fuzzy neural network of the transmission line in double sources is presented.The technique extracts fundamental component of the three-phase voltages and currents and zero-sequence current that can judge the grounding fault on relaying point after a cycle of fault,adopts fuzzy neural network that is combined by T-S model and improved BP algorithm to discriminate the fault type.It can't be influenced by those uncertain factors including fault location,fault resistance,angle initial difference of double sources and operation modes.Simulation result indicates the technique of fault type discrimination is very reliable and accurate.