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JEET, Vol. 12, No. 4, July 2017
Optimal Power Scheduling in Multi-Microgrid System Using Particle Swarm Optimization
Dong-Jun Won
Area A - Electric Power Engineering
Abstract This paper presents the power scheduling of a multi-microgrid (MMG) system using an optimization technique called particle swarm optimization (PSO). The PSO technique has been shown to be most effective at solving the various problems of the economic dispatch (ED) in a power system. In addition, a new MMG system configuration is proposed in this paper, through which the optimal power flow is achieved. Both optimization and power trading methods within an MMG are studied. The results of implementing PSO in an MMG system for optimal power flow and cost minimization are obtained and compared with another attractive and efficient optimization technique called the genetic algorithm (GA). The comparison between these two effective methods provides very competitive results, and their operating costs also appear to be comparable. Finally, in this study, power scheduling and a power trading method are obtained using the MATLAB program.
Keyword Microgrid,Multi-Microgrid,Power flow,Power scheduling,Optimization,Economic dispatch,Particle swarm optimization,Genetic algorithm
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