A study on the coordinated controller of generator's excitation and valve based on the fuzzy neural networks

Stability is the main problem which should be improved and solved by modern power system. The control of generator's excitation and valve is the efficient way to enhance and improve stability of power system. On the basis of established researching, this paper designs a kind of coordinated controller of generator's excitation and valve that is based on the fuzzy neural networks. The controller can combine the fuzzy theory and artificial neural networks organically, which is applicable to multilayer feedforwad BP network and fuzzy inference control model. The self-learning network can modify weights to realize self-learning control of fuzzy neural networks. Coordinated controller of generator's excitation and valve is simulated by the SMIBS. The computer simulation shows better stability and dynamic feature which is based on the fuzzy neural networks. Coordinated controller of generator's excitation and valve owns stronger robustness under different situations of fault.