Genetic Algorithm Tuned Load Frequency Controller for Hydro Plant Integrated with AC Microgrid

Abstract

The paper proposes Genetic Algorithm (GA) based load frequency controller to attain change in frequency and tie-line power flow within the nominal limits when there are demand variations in the two area system. The system comprises of hydro power plant interconnected to AC Microgrid. As AC Microgrid variations are very instantaneous on subjection to demand variation, it is proposed to use secondary controller to retain the system behavior within the limits. In this work; PI (secondary controller) controller is chosen to retain the frequency and tie-line power variation at a speedy rate on subjection to demand variation. PI controller is tuned using trial and error and compared with GA for its performance mapping. The controller performance is measured using three forms of error approximation methods namely Integral time absolute error (ITAE), Integral time square error (ITSE), Integral square error (ISE). The system is developed, tuned and tested with various demand variation using MATLAB/Simulink and validated the controller performance using the above mentioned performance indices.