• Dr. K. Lenin Professor, Department of EEE, Prasad V.Potluri Siddhartha Institute of Technology, Kanuru, Vijayawada, Andhra Pradesh -520007, India




Aggressive Weed Optimization, Genetic Algorithm, Optimal Reactive Power, Power System

Abstract [English]

In this paper, Enhanced Aggressive Weed Optimization (EWO) algorithm is applied to solve the optimal reactive power Problem. Aggressive Weed Optimization is a stochastic search algorithm that imitate natural deeds of weeds in colonize and detection of appropriate place for growth and reproduction. Enhanced Aggressive Weed Optimization (EWO) algorithm is based on hybridization of genetic algorithm with weed optimization algorithm which refers combination of crossover and mutation of genetic algorithm, and by the use of the cross factor new species are arisen. Proposed Enhanced Aggressive Weed Optimization (EWO) algorithm has been evaluated in standard IEEE 118 & practical 191 bus test systems. Simulation results show   that our projected approach outperforms all the entitled reported algorithms in minimization of real power loss and voltage profiles are within the specified limits.


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How to Cite

Lenin, K. (2018). ENHANCED ALGORITHM FOR REDUCTION OF ACTIVE POWER LOSS. International Journal of Research -GRANTHAALAYAH, 6(7), 45–51. https://doi.org/10.29121/granthaalayah.v6.i7.2018.1282

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