Abstract
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.
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