Optimal Power Flow Subject to Security Constraints Solved With a Particle Swarm Optimizer
作者： Pablo E. Onate Yumbla , Juan M. Ramirez , Carlos A. Coello Coello
DOI: 10.1109/TPWRS.2007.913196
关键词: Mathematical optimization 、 Engineering 、 Particle swarm optimizer 、 Power flow 、 Multi-swarm optimization 、 Control variable 、 Power system simulation 、 Computation 、 Particle swarm optimization 、 Operating cost
摘要: This paper presents a novel approach to solve an optimal power flow problem with embedded security constraints (OPF-SC), represented by mixture of continuous and discrete control variables, where the major aim is minimize total operating cost, taking into account both system capacity requirements. The particle swarm optimization (PSO) algorithm reconstruction operators (PSO-RO) has been used as tool. Such guarantee searching solution within feasible space, reducing computation time improving quality solution. Results on systems from specialized literature are adopted validate proposed approach.
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