Abstract
This paper projects enhanced red wolf optimization (ERWO) algorithm for solving optimal reactive power problem. Projected ERWO algorithm hybridizes the wolf optimization (WO) algorithm with particle swarm optimization (PSO) algorithm. Each red wolf has a flag vector, in the algorithm, and length is equivalent to the whole sum of numbers which features in the dataset of the wolf optimization (WO). Due to the hybridization of both WO with PSO exploration, the ability of the proposed red wolf optimization algorithm has been enhanced. Efficiency of the projected enhanced red wolf optimization (ERWO) algorithm has been evaluated in standard IEEE 118 bus test system. Results indicate that enhanced red wolf optimization (ERWO) algorithm performs well in solving the problem. Actual power losses are reduced, and control variables are well within the limits.
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