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计算机系统应用英文版:2015,24(3):266-269
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电动汽车参与经济调度的多目标模型
(浙江工业大学 信息工程学院, 杭州 310023)
Multi-Objective Model of Economic Dispatch Incorporating Electric Vehicles
(College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China)
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Received:July 07, 2014    Revised:August 06, 2014
中文摘要: 电动汽车通过V2G技术可以作为电网负荷侧的备用容量, 由此提出了一个多目标优化模型, 将电动汽车车主成本和经济调度成本作为其目标函数, 并让电动汽车通过有序充放电来作为经济调度时的备用容量. 在满足各种约束条件下, 采用多目标遗传算法(NSGA-II)对模型进行求解. 电动汽车的负荷特性、负荷波动、真实风能输出和机组停运状态均采用蒙特卡洛算法得到, 并以一小时为时间间隔来进行仿真. 由模型的求解结果可知, 通过选择合适的pareto解集中的值, 可以节省车主成本和经济调度的成本, 并且可以实现对负荷削峰填谷的功能.
Abstract:Electric vehicles can be used as standby power on the demand side through V2G technology. In this paper, a multi-objective optimization model is established, cost of economic dispatch and charging cost of EV owners are taken as the model's objectives, and the electric vehicles are used as standby power through coordinated charging in the process of economic dispatch. After meeting all the constraints, the model is simulated by NSGA-II algorithm. Besides, the electric vehicles' load charactristics, the real load fluctuation, the real wind output and the fault outage of generators are simulated hourly by using Monte Carlo algorithm.Experimental results show that this model can save the cost of economic dispatch and the charging cost of EV owners by choosing the right result among the pareto. It can also narrow the gap between peak load and valley load.
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陆建丽,张晓峰,张有兵,姜胜男,王耀.电动汽车参与经济调度的多目标模型.计算机系统应用,2015,24(3):266-269
LU Jian-Li,ZHANG Xiao-Feng,ZHANG You-Bing,JIANG Sheng-Nan,WANG Yao.Multi-Objective Model of Economic Dispatch Incorporating Electric Vehicles.COMPUTER SYSTEMS APPLICATIONS,2015,24(3):266-269