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：13847
出版社：S&S Publications
摘要：The issue of power system stability is becoming more crucial [1]. The excitation and governingcontrol of generator play an important role in improving the dynamic and transient stability of power system. In thispaper, the authors present a Neuro-fuzzy based method for the excitation control and governing control. Theapplication of Neuro-fuzzy model (ANFIS model) to generate two compensating signal to modify the controls duringsystem disturbances is proposed [5]. A simulation model comparing single machine to infinite bus system is applied [6].The oscillation of internal generator angles is observed to indicate the good performance of proposed control scheme[8]. Power system stability issue has been studied widely. Many significant contributions have been made, not only inthe aspect of analyzing and explaining the dynamic phenomena but also in the effort of improving the stability oftransmission systems. Among these techniques, generator control is one of the most widely applied in power industry.In this paper a coordination of governing control and excitation control using Adaptive Neuro Fuzzy Inference System(ANFIS) model compensate their control inputs during faults [1]. The proposed ANFIS automatically coordinates thebehavior of the two compensations. The observations show its satisfactory behavior for proposed control.
关键词：Power System; Transient Stability; Fuzzy logic; Excitation and governing Control
