期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2014
卷号：3
期号：6
页码：13410
出版社：S&S Publications
摘要：This paper presents the application of extended adaptive neuro-fuzzy inference system (ANFIS) forsolving the power system stability problem. The issue of power system stability is becoming more crucial [1]. Theexcitation and governing control of generator play an important role in improving the dynamic and transient stability ofpower system. In this paper, the authors present an extended Neuro-fuzzy based method called coactive neuro-fuzzyinference system (CANFIS), for the excitation control and governing control. Among these techniques, generatorcontrol is one of the most widely applied in power industry. In this paper a coordination of governing control andexcitation control using multiple-output ANFIS with nonlinear fuzzy rules called CANFIS model compensate theircontrol inputs during faults [1]. The proposed CANFIS automatically coordinates the behavior of the twocompensations. The observations show its satisfactory behavior for proposed control. A generalized ANFIS which istuned by a Multilayer Perceptron (MLP) neural network has a modified version of ANFIS and it improves the powersystem response by fast damping of oscillations of internal angle of generator following different types of faults anddifferent location of transmission line.
