| 考虑电价影响的电动汽车削峰填谷水平评价 |
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| 引用本文： | 吴晨曦,张杰,张新延,陈泽昊.考虑电价影响的电动汽车削峰填谷水平评价[J].电力系统保护与控制,2019,47(17):14-22. |
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| 作者姓名： | 吴晨曦 张杰 张新延 陈泽昊 |
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| 作者单位： | 杭州电子科技大学自动化学院,浙江 杭州,310018;杭州电子科技大学自动化学院,浙江 杭州,310018;杭州电子科技大学自动化学院,浙江 杭州,310018;杭州电子科技大学自动化学院,浙江 杭州,310018 |
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| 基金项目： | 国家自然科学基金项目资助 (U1766201，151407052) |
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| 摘 要： | 为了避免电动汽车充放电行为的无控性对配电系统负荷曲线造成的不良影响,首先从能量平衡的角度出发,以电动汽车行驶里程所耗电量为依据估算电动汽车的充放电量。然后考虑电价对车主充放电的影响,以电动汽车充放电代数费用最小为目标进行充放电时间段优化。最后研究以平抑负荷曲线为目的的电动汽车充放电优化方案,采用动态规划法进行电动汽车充放电优化。提出的方法和模型在PGE 69节点配电系统中进行仿真,对于不同电价体系下配电系统中的电动汽车削峰填谷水平进行了评价。仿真结果证明了在电价的影响下,所提出的电动汽车充放电控制策略能够有效进行负荷削峰填谷。
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| 关 键 词： | 电动汽车 能量平衡 分时电价 负荷削峰填谷 动态规划法 |
| 收稿时间： | 2018/9/22 0:00:00 |
| 修稿时间： | 2018/11/30 0:00:00 |
Load shifting level evaluation of EVs in the different energy price environment |
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| WU Chenxi,ZHANG Jie,ZHANG Xinyan and CHEN Zehao.Load shifting level evaluation of EVs in the different energy price environment[J].Power System Protection and Control,2019,47(17):14-22. |
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| Authors: | WU Chenxi ZHANG Jie ZHANG Xinyan and CHEN Zehao |
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| Affiliation: | School of Automation, Hangzhou Dianzi University, Hangzhou 310018, China,School of Automation, Hangzhou Dianzi University, Hangzhou 310018, China,School of Automation, Hangzhou Dianzi University, Hangzhou 310018, China and School of Automation, Hangzhou Dianzi University, Hangzhou 310018, China |
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| Abstract: | In order to avoid the negative influence of uncontrollability of charging and discharging behavior of electric vehicles on load curve of distribution system, first, from the point of view of energy balance, the charging/discharging energy is calculated by the energy consumption of EV driving distance. Then under the influence of electric power energy price, the EV charging/discharging behavior is determined by minimizing the charging cost. Then, the Distribution System Operator (DSO) dispatches the EV charging/discharging energy to flatten the load curve. Dynamic programming is used to optimize EV charging/discharging power. The developed method is tested in the PG&E 69-bus distribution system. Load shifting level is evaluated in the different energy price environment. The simulation results show that the charging and discharging strategy can effectively shift the peak load under the influence of electricity price. This work is supported by National Natural Science Foundation of China (No. U1766201 and No. 151407052). |
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| Keywords: | electric vehicle energy balance time-of-use (TOU) electricity price peak load shifting dynamic programming |
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