The research on multi-target control strategy of EVs based on real-time price

Tu Yi-yun
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引用次数: 2

Abstract

This paper establish mathematical models aimed at minimizing the peak-valley difference of power load and maximizing the profit of consumer for the participation of EVs on the base of adopting real-time price in electricity market. Then solve it by Particle Swarm Optimization(PSO) algorithm, obtain load curves between EVs and power grid. Results show that effect of load regulation and value of profit have obvious variation on different weight coefficients, thus realize multi-target control strategy.
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基于实时价格的电动汽车多目标控制策略研究
本文在电力市场采用实时电价的基础上,建立了以电力负荷峰谷差最小、消费者利润最大化为目标的电动汽车参与的数学模型。然后利用粒子群算法求解,得到电动汽车与电网之间的负荷曲线。结果表明,负荷调节效果和利润值在不同权重系数下有明显变化,从而实现多目标控制策略。
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