Optimal allocation of distributed generator using chemical reaction optimization

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Abstract

In this paper, an effort is taken to attain optimal DG placement using chemical reaction optimization (CRO) algorithm to minimize the power loss in radial distribution system. The suggested methodology is fruitfully applied on 33-bus and 69-bus radial distribution systems. Simulation results have been compared with other population-based optimization technique like genetic algorithm (GA), particle swarm optimization (PSO), hybrid GA and PSO (GA/PSO), oppositional cuckoo optimization algorithm (OCOA), and bacteria foraging optimization algorithm (BFOA). The simulation results imply that the suggested methodology offers reasonable efficiency and it outperforms the other artificial optimization techniques that are available in the recent literature.

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Sultana, S., Roy, S., & Roy, P. K. (2016). Optimal allocation of distributed generator using chemical reaction optimization. In Advances in Intelligent Systems and Computing (Vol. 404, pp. 259–272). Springer Verlag. https://doi.org/10.1007/978-81-322-2695-6_23

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