基于需求响应的电动汽车充放电电价与时段研究
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(1.兰州交通大学自动化与电气工程学院,甘肃 兰州730070; 2.国网甘肃省电力公司电力科学研究院,甘肃 兰州730050)

作者简介:

闫志杰(1994—),男,硕士研究生,研究方向为电动汽车与电网互动技术;E-mail:yanzhijie_5@163.com
张蕊萍(1974—),女,通信作者,硕士,副教授,研究方向为电力电子与电力传动;E-mail:zhrp@mail.lzjtu.cn
董海鹰(1966—),男,博士,教授,博士生导师,主要研究方向为电力系统优化运行与智能控制、新能源发电优化控制。

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基金项目:

国家自然科学基金资助项目(61663019);国网甘肃省电力公司科技支撑项目(522722160021)


Price and period research of electric vehicles charging and discharging based on demand response
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(1. School of Automation and Electrical Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China;2. State Grid Gansu Electric Power Research Institute, Lanzhou 730050, China)

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    摘要:

    大规模电动汽车无序充放电将会对电网负荷造成“峰上加峰”的不良影响,因此合理引导充放电行为至关重要。首先,计及电动汽车反向入网(vehicle-to-gride,V2G)情况,在综合考虑电动汽车用户成本和电网公司利益的基础上,制定了电动汽车充放电电价上下限。然后,以电网负荷峰谷差率最小和电动汽车用户参与V2G成本最低为目标,建立了充放电时段优化模型。最后,用NSGA-II算法对该模型进行寻优求解。算例表明,通过价格型需求侧响应的引导策略,对实现系统负荷“削峰填谷”和提高电动汽车用户收益具有一定效果。

    Abstract:

    The disordered charging and discharging of large-scale electric vehicles will adversely affect the load of power grid, so it is very important to reasonably guide charging and discharging behavior. Firstly, taking into account the V2G, based on the comprehensive consideration of the cost of electric vehicle users and the interests of grid operators, the up and lower limit of charging and discharging price of electric vehicle is formulated. Then, the optimization model of charging and discharging time is established with the minimum peak load rate of power grid load and the lowest cost of V2G for electric vehicle users. Finally, Non-dominated Sorting Genetic Algorithm (NSGA- II) is applied to solve the model. Analysis of calculation example shows that using the guidance strategy of price demand response has certain effects on realizing system load "peak shaving and filling valley" and improving the user income of electric vehicles. This work is supported by National Natural Science Foundation of China (No. 61663019) and State Grid Gansu Corp Science and Technology Program (No. 522722160021).

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闫志杰,张蕊萍,董海鹰,等.基于需求响应的电动汽车充放电电价与时段研究[J].电力系统保护与控制,2018,46(15):16-22.[YAN Zhijie, ZHANG Ruiping, DONG Haiying, et al. Price and period research of electric vehicles charging and discharging based on demand response[J]. Power System Protection and Control,2018,V46(15):16-22]

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  • 收稿日期:2017-07-26
  • 最后修改日期:2017-11-20
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  • 在线发布日期: 2018-08-01
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