A robust controlling and management of load with minimum frequency and voltage deviation in network employing genetic algorithm

Abstract In this work optimal autonomous controlling of frequency and voltage deviation of the power system network has been presented. The frequency deviations and the voltage fluctuations are assessed with conventional and genetic algorithm method. Initial model of power system network has been developed which is based on Tie line power flow. There were several unknown parameters observed in the objective functions of conventional tie line power method. These unknown parameters were trained with genetic algorithm. The genetic algorithm consist of three major steps: reproduction, crossover, and mutations. The suitable value of frequency and voltage deviations are obtained for various loading conditions. But due loading conditions, high value of transient or peak overshoot and settling time were attained for frequency and voltage variations. It is observed that optimal minimum value of peak overshoot and settling time for frequency and voltage deviations are attained with genetic algorithm in comparison to conventional methods.