On comparing the performance of Genetic Algorithm optimized PI and fractional order PI controller for power quality enhancement

This paper deals with the application of a optimization technique inspired by natural evolution, namely Genetic Algorithm (GA) for the design of Fractional order Proportional and Integral (FOPI) based DSTATCOM (Distributed Static Compensator) and ELC (Electronic Load Controller). The GA technique helps search efficiently the optimal parameters of the FOPI controller. Conventional controllers use integral order control which is less robust as compared to fractional order control. This paper is based on a novel application of fractional order controller optimized by genetic algorithm for power quality improvement using DSTATCOM and ELC in a power system. With the help of modelling carried out in a MATLAB based environment and a set of simulation results, the superiority of the designed FOPI over PI (Proportional — Integral) based DSTATCOM and ELC controllers used in power distribution system is affirmed and a comparative study in terms of overshoots and undershoots is presented.