Power System Transient Stability Analysis based on Interval Type-2 Fuzzy Logic Controller and Genetic Algorithms
Manoj Kumar Jha, Mohammad Farukh Qureshi · 2014
This work aims to develop a controller based on interval type-2 fuzzy logic to simulate an automatic voltage regulator (AVR) in transient stability power system analysis. It was simulated a one machine control to check if the interval type-2 fuzzy logic controller (IT2FLC) implementation was possible. After which results 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 handle such 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 a Genetic Algorithm (GA) based architecture to evolve the type-2 MFs of interval type-2 FLCs used for transient stability power system analysis.