摘要
随着电动汽车技术的快速发展和人们环保意识的不断提高,电动汽车的使用规模将不断扩大。为了合理引导大量电动汽车的无序充放电行为,减少电动汽车给配电网的安全运行带来的影响,建立了4类电动汽车的充放电需求响应模型,统筹考虑电网公司和电动汽车车主双方的利益,运用基于遗传算法的双目标优化算法求解出一套最优分时电价方案来引导电动汽车的充放电行为。算例验证表明,该模型求解得到的最优分时电价方案可以显著地减少车主花销,降低配电网的网络损耗。
With the rapid development of electric vehicle （EV） technology and the constant improvement of the people environmental protection consciousness, the EV scale will be constantly expanding. In order to guide EVs out-of-order charging and discharging behaviour, reduce the effects of EVs to the safe operation of distribution net- work. in this paper, the four types of EV charging and discharging demand response models are established and the benefits for both EV owners and power grid are considered. A set of optimal time-of-use （TOU） price can be calcu- lated by two-objective optimization algorithm based on genetic algorithm to guide the EVs charging and discharging hehaviours. The results indicate that the optimal TOU price not only can save owners＇ money significantly, but also can reduce power losses.
出处
《电力科学与工程》
2014年第7期37-42,共6页
Electric Power Science and Engineering
基金
国家自然科学基金资助项目(51177047)
中央高校基本科研业务费专项资金资助项目(12MS107)
关键词
电动汽车
分时电价
遗传算法
网损
EV
time-of-use （TOU） price
genetic algorithm
power losses
