Frequency Stabilization for Multi-area Thermal–Hydro Power System Using Genetic Algorithm-optimized Fuzzy Logic Controller in Deregulated Environment

Yogesh Krishan Bhateshvar (1) , Hitesh Datt Mathur (1) , Houria Siguerdidjane (2) , Surekha Bhanot (1)

1 BITS Pilani - Birla Institute of Technology and Science
2 L2S - Laboratoire des signaux et systèmes

This article develops a model of load frequency control for an interconnected two-area thermal–hydro power system under a deregulated environment. In this article, a fuzzy logic controller is optimized by a genetic algorithm in two steps. The first step of fuzzy logic controller optimization is for variable range optimization, and the second step is for the optimization of scaling and gain parameters. Further, the genetic algorithm-optimized fuzzy logic controller is compared against a conventional proportional-integral-derivative controller and a simple fuzzy logic controller. The proposed genetic algorithm-optimized fuzzy logic controller shows better dynamic response following a step-load change with combination of poolco and bilateral contracts in a deregulated environment. In this article, the effect of the governor dead band is also considered. In addition, performance of genetic algorithm-optimized fuzzy logic controller also has been examined for various step-load changes in different distribution unit demands and compared with the proportional-integral-derivative controller and simple fuzzy logic controller.

Keywords: two-area power system; proportional-integral-derivative controller; Two area power system; Automatic generation control; Proportional integral derivative controller; Fuzzy logic controller; Genetic algorithm; Deregulated environment

Domains: Engineering Sciences [physics]; Engineering Sciences [physics]; Automatic

Yogesh Krishan Bhateshvar, Hitesh Datt Mathur, Houria Siguerdidjane, Surekha Bhanot. Frequency Stabilization for Multi-area Thermal–Hydro Power System Using Genetic Algorithm-optimized Fuzzy Logic Controller in Deregulated Environment. Electric Power Components and Systems, 2015, 43 (2), pp.146-156. ⟨10.1080/15325008.2014.977462⟩. ⟨hal-01258080⟩