Abstract
Modern power systems have emerged as a distributed complex interconnection of conventional as well as renewable energy resources and varied loads. Intermittent and varied nature of wind power has further posed major challenges towards control of voltage profile variations and frequency deviations in such integrated distributed power systems. This is because, such integrated renewable energy resources result in overall reduced system inertia that introduces complexity to load frequency control problem. In this paper, recently proposed heuristic algorithm known as Monarch Butterfly based Optimization has been extended to address frequency control problem arising due to sudden source and load fluctuation in a three-area test power system. The considered test system consists of both distributed and centralized power generations using Wind, Hydro, Gas and Steam. The controllers optimized using the proposed approach were simulated on MATLAB® and Simulink® platform. Simulation results validate effectiveness of proposed strategy vis-a-vis other existing techniques using Moth Search Algorithm, Elephant Herding Optimization.
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