| 引用本文: | 陈中,刘艺,周涛,邢强,杜璞良.考虑移动特性的电动汽车最优分时充电定价策略[J].电力自动化设备,2020,40(4): |
| CHEN Zhong,LIU Yi,ZHOU Tao,XING Qiang,DU Puliang.Optimal time-of-use charging pricing strategy of EVs considering mobile characteristics[J].Electric Power Automation Equipment,2020,40(4): |
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| 考虑移动特性的电动汽车最优分时充电定价策略 |
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陈中1,2, 刘艺1,2, 周涛1,2, 邢强1,2, 杜璞良1,2
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1.东南大学 电气工程学院，江苏 南京 210096;2.江苏省智能电网技术与装备重点实验室，江苏 南京 210096
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| 摘要: |
| 随着电动汽车产业的规模化发展，制定合理的价格机制对于引导电动汽车有序充电具有重要的意义。电动汽车负荷区别于常规负荷的最大特点是其具有移动性，基于停车生成率理论，建立考虑随机性的电动汽车移动性模型。针对电动汽车用户的特点，建立了考虑电池荷电状态的电动汽车需求价格弹性模型，以统筹电网和车主双方利益为目标，提出了基于移动特性的电动汽车最优分时充电电价定价策略。算例仿真结果表明，基于所提模型和策略求解得到的最优分时充电电价能够起到平滑负荷曲线、降低车主费用的作用。 |
| 关键词: 电动汽车 移动特性 分时充电电价 需求弹性 |
| DOI：10.16081/j.epae.202003005 |
| 分类号:U469.72 |
| 基金项目:国家重点基础研究发展计划项目(2016YFB0101800)；国家电网公司总部科技项目(SGTYHT/17-JS-201) |
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| Optimal time-of-use charging pricing strategy of EVs considering mobile characteristics |
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CHEN Zhong1,2, LIU Yi1,2, ZHOU Tao1,2, XING Qiang1,2, DU Puliang1,2
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1.School of Electrical Engineering, Southeast University, Nanjing 210096, China;2.Jiangsu Key Laboratory of Smart Grid Technology and Equipment, Nanjing 210096, China
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| Abstract: |
| With the large-scale development of the EV(Electric Vehicle) industry, it is of great significance to establish a reasonable price mechanism for guiding the ordered charging of EVs. The biggest difference of EV load from conventional load is its mobility. Based on the parking generation rate theory, the EV mobility model considering randomness is established. In view of the characteristics of EV users, an EV demand price elasticity model is established considering the SOC(State Of Charge) of batteries, and an optimal time-of-use charging pricing strategy of EVs based on mobile characteristics is proposed to balance the interests of both power grid and EV owners. Simulative results of example show that the optimal time-of-use charging price based on the proposed model and strategy can smooth the load curve and reduce the cost of EV owners. |
| Key words: electric vehicles mobile characteristics time-of-use charging price demand elasticity |
