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：14172
出版社：S&S Publications
摘要：This work aims to develop a controller based on evolutionary interval type-2 fuzzy logic to simulate anautomatic voltage regulator (AVR) in transient stability power system analysis. It was simulated a one machine controlto check if the evolutionary interval type-2 fuzzy logic controller (EIT2FLC) implementation was possible. After whichresults were compared to the results obtained with the AVR itself. The traditional type-1 Fuzzy Logic Controller (FLC)using precise type-1 fuzzy sets cannot fully handle such uncertainties. A type-2 FLC using type-2 fuzzy sets can handlesuch uncertainties to produce a better performance. However, manually designing the type-2 Membership Functions(MFs) for an interval type-2 FLC is a difficult task. This paper will present Genetic Algorithm (GA) based architectureto evolve the type-2 MFs of interval type-2 FLCs used for transient stability power system analysis. The GA basedsystem converges after a small number of iterations to interval type-2 MFs which gave very good performance. Thecontrol of synchronous generator terminal voltage and reactive power has been a disturbing problem to researchers anddesigners of power system engineers. This paper uses the evolutionary interval type-2 fuzzy logic scheme for automaticvoltage regulation of synchronous generators and observes that it is superior to convectional AVR controllers because itcan tune the controller parameters and remembers what it tuned before. The simulation results obtained usingevolutionary interval type-2 fuzzy logic scheme during abnormal operation of power system network shows reductionin settling time, percentage overshoot and steady state error.
关键词：Interval Type-2 Fuzzy Logic Controller; Transient Stability Analysis; Genetic Algorithms; Automatic;Voltage Regulator; One Synchronous Machine System; 18 bus bar system
