Abstract
In this paper, Enhanced Artificial Bee Colony (EABC) algorithm is proposed for solving optimal reactive power problem. The projected method assimilates crossover operation from Genetic Algorithm (GA) with artificial bee colony (ABC) algorithm. The EABC strengthens the exploitation phase of ABC as crossover enhances exploration of search space. Projected EABC algorithm has been tested on has been tested on standard IEEE 118 & practical 191 bus test systems and simulation results show clearly about the premium performance of the proposed algorithm in reducing the real power loss.
Highlights
Optimal reactive power problem is to minimize the real power loss and bus voltage deviation
In this paper, Enhanced Artificial bee colony (EABC) algorithm is proposed for solving optimal reactive power problem
Projected Enhanced Artificial Bee Colony (EABC) algorithm has been tested on has been tested on standard IEEE 118 & practical 191 bus test systems and simulation results show clearly about the premium performance of the proposed algorithm in reducing the real power loss
Summary
Optimal reactive power problem is to minimize the real power loss and bus voltage deviation. Various numerical methods like the gradient method [1,2], Newton method [3] and linear programming [4,5,6,7] have been adopted to solve the optimal reactive power dispatch problem. The problem of voltage stability and collapse play a major role in power system planning and operation [8]. Evolutionary algorithms such as genetic algorithm have been already proposed to solve the reactive power flow problem [9,10,11]. In [16], Http://www.granthaalayah.com ©International Journal of Research - GRANTHAALAYAH [203]
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