基于粒子群算法的电动汽车充电站放电策略优化

Zhipeng Liu
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引用次数: 0

摘要

由于“零排放”和“低噪音”,电动汽车已被视为减少碳排放和保护环境的重要途径。此外,电动汽车进入电力系统不仅可以减少能量损失和排放,还可以为改善电能质量、削减峰值负荷等提供辅助服务。在此背景下,根据美国、日本、欧洲等多个国家的关键技术和示范工程,详细分析了国内外电动汽车的研究和推广现状。然后,分别介绍了目前应用比较广泛的三种电动汽车,识别了它们的优缺点以及V2G的概念。在此背景下,以电动汽车充电站总运营收益最大化为目标函数,以一定的运营限制为约束条件,建立了电动汽车充电站放电策略优化的数学模型,并采用粒子群算法进行求解。最后,以IEEE 34节点测试馈线为例,验证了所建模型的可行性和有效性。
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Optimal Discharging Strategy in Electric Vehicle Charging Stations with Particle Swarm Optimization
Due to "Zero Emission" and "Low Noise", Electric Vehicles (EVs) have been regarded as an important way of reduction in the carbon emission and the protection for environment. Moreover, the penetration of EVs into power systems not only can reduce energy loss and lessen emission, but also can provide ancillary services for improving power quality, shaving peak load, etc. Given this background, according to key technology and demonstration engineering of many countries, such as USA, Japans and Europe, the status of EVs’ research and promotion at home and abroad were analyzed in detail. Then, the three kinds of EVs applied widely at present were respectively presented to identify their advantages and disadvantages as well as the concept of V2G. Given this background, a mathematical model for optimizing discharging strategy in EV charging stations is developed and solved by particle swarm optimization (PSO) with the maximization of the total operating income of the EV charging stations as the objective function, and some operating limitations as constraints to be respected. Finally, IEEE 34 node test feeder is applied to illustrate the feasibility and effectiveness of the developed model.
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