In this paper an Enhanced Bean Optimization Algorithm (EBA) is used to
solve optimal reactive power problem. Stimulated by the diffusion of beans in
nature, a novel swarm intelligence algorithm-Bean Optimization Algorithm (BOA)
has been projected previously. In the domain of incessant optimization problems
solving, Bean Optimization Algorithm has exposed a first-class performance. In
this paper, an Enhanced Bean Optimization Algorithm is presented for solving
optimal reactive power problem. In this algorithm two novel evolution methodologies
named population migration and deductive information cross-sharing are proposed
to perk up the performance of Bean Optimization Algorithm. The projected
Enhanced Bean optimization algorithm (EBA) has been tested in standard IEEE 30
bus test system and simulation results show clearly the enhanced performance of
the projected algorithm in tumbling the real power loss.
Cite this paper
Lenin, K. , Reddy, B. R. and Suryakalavathi, M. (2016). Enhanced Bean Optimization Algorithm for Solving Reactive Power Problem. Open Access Library Journal, 3, e2464. doi: http://dx.doi.org/10.4236/oalib.1102464.
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