Multi-Objective Real Power Loss and Voltage Deviation Minimization for Grid Connected Micro Power System Using Whale Optimization Algorithm

Sovann Ang, Uthen Leeton, Thanatchai Kulworawanichpong, Keerati Chayakulkeeree


In this paper, a whale optimization algorithm (WOA) is applied to solve the multi-objective real power loss and bus voltage deviation (VD) minimizations for grid connected micro power system with non-firm small power plants. The control variables are the voltage magnitude at voltage control buses and the transformer tap changers. The methods were tested with IEEE 6 and 14 buses systems comparing to genetic algorithm (GA), artificial bee colony (ABC), and particle swarm optimization (PSO). The simulation results shown that WOA can successfully provide the minimum the multi-objective real power loss and bus VD solution than those computed by GA, ABC, and PSO. Moreover, the applied methods use the minimum computation time among all methods.


loss minimization; optimal power flow; voltage deviation; whale optimization algorithm

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