PSO-based method to find electric vehicle's optimal charging schedule under dynamic electricity price
ICNSC（2013）
摘要
Owning to greenhouse effect and exhaustible gasoline, there is a need for the automobile industry to develop electric vehicles (EVs). EV owners' major concern is about how to minimize operating cost under dynamic market electricity price. Optimization of a charging scenario draws great attention from the researchers worldwide. This paper presents a particle swarm optimization (PSO) based optimization approach that can help EV owners achieve the most economical charging behavior.
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关键词
automobile industry,ev owners,exhaustible gasoline,pso,particle swarm optimisation,electric vehicle,optimal charging,economical charging behavior,dynamic electricity price,electric vehicles optimal charging schedule,pso-based method,secondary cells,dynamic market electricity price,operating cost minimization,power markets,pricing,electric vehicles,particle swarm optimization,cost reduction,greenhouse effect,electricity,schedules,dynamic programming,optimization
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