Multiobjective reactive power compensation with an ant colony optimization algorithm

P. Gardel
2006 8th IEE International Conference on AC and DC Power Transmission (ACDC 2006)   unpublished
This paper presents an Ant Colony Optimization (ACO) algorithm applied to the reactive power compensation problem in a multiobjective context. The developed algorithm was denominated Electric Omicron (EO) given that it was inspired in the Omicron ACO proposed by some of the authors. The proposed EO algorithm was compared to a variant of the SPEA (Strength Pareto Evolutionary Algorithm), specially designed for this problem. This variant of SPEA has previously shown an excellent performance in
more » ... t performance in this type of problem. Experimental results presented in this paper show that the proposed EO outperforms SPEA, i.e., EO finds better Pareto solutions considering voltage deviation and investment. As long as we know, this is the first attempt to solve the reactive power compensation problem with an ACO algorithm in a multiobjective context.
doi:10.1049/cp:20060056 fatcat:gpfp4o4a4jhfzglhotjpfn5wiy