REAL POWER LOSS REDUCTION BY ENRICHED GENETIC ALGORITHM

Authors

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

DOI:

https://doi.org/10.29121/granthaalayah.v5.i8.2017.2178

Keywords:

Optimal Reactive Power, Transmission Loss, Enriched Genetic Algorithm

Abstract [English]

In this paper, Enriched Genetic Algorithm (EGA) utilized to solve reactive power optimization problem. In the proposed algorithm Stochastic Universal Selection (SS) is utilized to improve the selection procedure. The selection method in Genetic algorithm (GA) plays a significant role in the runtime to get the optimized solution as well as in the superiority of the solution. In this work, an enriched selection technique is presented which uphold both fast runtime and elevated quality solution. Proposed EGA algorithm has been tested in standard IEEE 118 & practical 191 bus test systems and simulation results show clearly the advanced performance of the proposed algorithm in reducing the real power loss.

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Published

2017-08-31

How to Cite

Lenin, K. (2017). REAL POWER LOSS REDUCTION BY ENRICHED GENETIC ALGORITHM. International Journal of Research -GRANTHAALAYAH, 5(8), 18–25. https://doi.org/10.29121/granthaalayah.v5.i8.2017.2178

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