Energy Management Optimization for Microgrids, using a Chaotic Symbiotic Organism Search Algorithm
Omar Bendjeghaba, Ishak Boushaki Saida, Noureddine Brakta
Abstract
This paper presents an efficient approach, that is centered on a chaotic symbiotic organism search (CSOS) algorithm, for solving the energy management optimization (EMO) problem in Micro-grids (MG) containing diverse distributed generation resources (DGR) besides energy storage systems.The proposed approach is equipped with a chaotic map to guarantee a wider coverage of the search space and rapid time for convergence when searching solutions for the EMO problem under the various exploiting constraints.The CSOS approach is examined on a practical microgrid linked to public services.The effectiveness of CSOS is proven through a comparison of the obtained solutions, in terms of operating costs, with those of other scalable algorithms, such as, GA and PSO.