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Dwindling of Real Power Loss by Enriched Big Bang-Big Crunch Algorithm

Lenin, K.
IAES International Journal of Artificial Intelligence (IJ-AI) (Sinta 1)Vol. 0 No. 01 Desember 2018
DOI10.11591/ijai.v7.i4.pp190-196

Abstrak

In this paper, Enriched Big Bang-Big Crunch (EBC) algorithm is proposed to solve the reactive power problem. The problem of converging to local optimum solutions occurred for the Bang-Big Crunch (BB-BC) approach due to greedily looking around the best ever found solutions. The proposed algorithm takes advantages of typical Big Bang-Big Crunch (BB-BC) algorithm and enhances it with the proper balance between exploration and exploitation factors. Proposed EBC algorithm has been tested in standard IEEE 118 & practical 191 bus test systems and simulation results show clearly the improved performance of the proposed algorithm in reducing the real power loss.

Kata Kunci

Enriched Big Bang-Big Crunch, Optimal Reactive Power, Transmission loss

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Dwindling of Real Power Loss by Enriched Big Bang-Big Crunch Algorithm | IAES International Journal of Artificial Intelligence (IJ-AI) | Publiora