Hydrothermal General Scheduling of Power System using Meta Heuristic Algorithm

Abstract

In daily life, electrical power is a basic need and should be supplied at an economical cost to consumers. Hydrothermal generation scheduling is a highly complex and non-linear engineering optimization problem. Metaheuristic algorithms like the water cycle algorithm (WCA) and Harris hawk optimizer (HHO) are utilized to solve the hydrothermal generation scheduling problem. The constraints of the hydrothermal generation scheduling problem are handled using indirect and direct heuristics, utilizing proportional sharing and penalty methods.The present work proposes an intensified water cycle approach (IWCA) to solve the multi-objective hydrothermal generation scheduling problem. Furthermore, an enhanced Harris hawk optimizer (EHHO) is proposed to solve the multi-objective hydrothermal generation scheduling problem with cascaded reservoirs. An optimistic water cycle optimizer (OWCO) is proposed to solve the pumped storage hydrothermal generation scheduling problem. The emended Harris hawk optimizer (EmHHO) solves the mixed energy generation scheduling problem. Mixed energy generation scheduling considers solar, wind, hydro, pumped hydro, and thermal generating units. The hydrothermal generation scheduling problems are solved successfully using the recommended methods. The Wilcoxon signed rank test gives a comparative analysis of the obtained results. Convergence curves and Whisker box plots provide the statistical analysis of obtained results.As the complexity increases while solving hydrothermal generation scheduling problems, EmHHO gives better global solution than OWCO, EHHO, and IWCA. As a conclusive statement, intensified water cycle approach, enhanced Harris hawk optimizer, optimistic water cycle optimizer, and emended Harris hawk optimizer are recommended methods for solving mixed energy generation scheduling problems at the cost of time complexity; however, proposed techniques have fewer parameters to adjust, effective exploration and exploitation features, and their proper switching action.