Business Models of Electric Vehicle Aggregators Considering Electricity Price Uncertainty and Capacity Decay

doi:10.11930/j.issn.1004-9649.202210063

Abstract

Abstract: As a mobile energy storage facility, electric vehicles can enhance the stability of power system through vehicle network coordination. With the rapid development of electric vehicles, how to design the business model of electric vehicle charging and discharging has become an urgent problem that needs to be solved. In view of this, this paper designed two business models for EV aggregators, including their sole participation in spot market and joint participation in spot market and auxiliary service market. At the same time, considering the influence of electricity price uncertainty and battery capacity decay, economic calculation and multi-factor sensitivity analysis were carried out for the above-mentioned two models. Case study shows that the EV aggregators′ joint participation in spot market and auxiliary service market is economically better than their sole participation in spot market. Finally, based on the research results, the paper designed a business scheme for electric vehicle aggregators participating in the electricity market.

Key words: electric vehicle aggregator, spot market, ancillary service market, electricity price uncertainty, capacity decay

LI Xudong, YANG Ye, LI Fanqi, SHI Quanyou, TAN Zhongfu. Business Models of Electric Vehicle Aggregators Considering Electricity Price Uncertainty and Capacity Decay[J]. Electric Power, 2023, 56(1): 38-48.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.202210063

https://www.electricpower.com.cn/EN/Y2023/V56/I1/38

References

[1] 侯慧, 王逸凡, 赵波, 等. 价格与激励需求响应下电动汽车负荷聚集商调度策略[J]. 电网技术, 2022, 46(4): 1259–1269
HOU Hui, WANG Yifan, ZHAO Bo, et al. Electric vehicle aggregator dispatching strategy under price and incentive demand response[J]. Power System Technology, 2022, 46(4): 1259–1269
[2] 张晶. 产业链视角下电动汽车充电基础设施商业模式对比研究[D]. 北京: 北京交通大学, 2019.
ZHANG Jing. Comparison research on the business model of electric vehicles charging infrastructure in the view of industry chain[D]. Beijing: Beijing Jiaotong University, 2019.
[3] KLEY F, LERCH C, DALLINGER D. New business models for electric cars-a holistic approach[J]. Energy Policy, 2011, 39(6): 3392–3403.
[4] 项顶, 胡泽春, 宋永华, 等. 通过电动汽车与电网互动减少弃风的商业模式与日前优化调度策略[J]. 中国电机工程学报, 2015, 35(24): 6293–6303
XIANG Ding, HU Zechun, SONG Yonghua, et al. Business model and day-ahead dispatch strategy to reduce wind power curtailment through vehicle-to-grid[J]. Proceedings of the CSEE, 2015, 35(24): 6293–6303
[5] 白婧萌. 电动汽车充电的商业运营模式设计及评价[D]. 北京: 华北电力大学, 2018.
BAI Jingmeng. Design and comprehensive evaluation of commercial operation modes for electric vehicle charging[D]. Beijing: North China Electric Power University, 2018.
[6] 刘敦楠, 王梅宝, 李根柱, 等. 电动汽车参与电力市场的商业运营模式研究[J]. 全球能源互联网, 2019, 2(5): 516–524
LIU Dunnan, WANG Meibao, LI Genzhu, et al. Business model for optimal electric vehicle participation in electricity market[J]. Journal of Global Energy Interconnection, 2019, 2(5): 516–524
[7] 蔡海青, 代伟, 赵静怡, 等. 基于多参数规划的电动汽车充电站有效容量评估方法[J]. 中国电力, 2022, 55(11): 175–183
CAI Haiqing, DAI Wei, ZHAO Jingyi, et al. Available capacity evaluation method of electric vehicle charging stations based on multi-parametric programming[J]. Electric Power, 2022, 55(11): 175–183
[8] 刘维扬, 王冰, 王敏, 等. 智能合约技术下电动汽车入网竞价机制研究[J]. 电网技术, 2019, 43(12): 4344–4352
LIU Weiyang, WANG Bing, WANG Min, et al. Research on electric vehicles participating in bidding mechanism of power grid based on smart contract technology[J]. Power System Technology, 2019, 43(12): 4344–4352
[9] 王敏, 吕林, 向月. 计及V2G价格激励的电动汽车削峰协同调度策略[J]. 电力自动化设备, 2022, 42(4): 27–33, 85
WANG Min, LÜ Lin, XIANG Yue. Coordinated scheduling strategy of electric vehicles for peak shaving considering V2G price incentive[J]. Electric Power Automation Equipment, 2022, 42(4): 27–33, 85
[10] 张谦, 史乐峰, 任玉珑, 等. 计及V2G备用服务的交易模式[J]. 中国电机工程学报, 2012, 32(31): 59–67, 219
ZHANG Qian, SHI Lefeng, REN Yulong, et al. The reserve trading model considering vehicle-to-grid reserve[J]. Proceedings of the CSEE, 2012, 32(31): 59–67, 219
[11] 杨捷, 曹子健. 电动汽车储能V2G模式的成本与收益分析[J]. 储能科学与技术, 2020, 9(增刊1): 45–51
YANG Jie, CAO Zijian. Cost and benefit analysis of EV energy storage through V2G[J]. Energy Storage Science and Technology, 2020, 9(S1): 45–51
[12] 吴洲洋, 艾欣, 胡俊杰. 电动汽车聚合商参与调频备用的调度方法与收益分成机制[J]. 电网技术, 2021, 45(3): 1041–1050
WU Zhouyang, AI Xin, HU Junjie. Dispatch and income distribution of electric vehicle aggregator’s participation in frequency regulation[J]. Power System Technology, 2021, 45(3): 1041–1050
[13] 王子石, 杨知方, 杨燕, 等. 考虑电价不确定性的负荷价–量曲线聚合方法[J]. 中国电机工程学报, 2021, 41(1): 147–155, 405
WANG Zishi, YANG Zhifang, YANG Yan, et al. Bidding curve aggregation considering uncertainty of electricity price[J]. Proceedings of the CSEE, 2021, 41(1): 147–155, 405
[14] 杜佳男, 韩肖清, 李廷钧, 等. 考虑电价不确定性和博弈欺诈行为的多微网电能合作运行优化策略[J]. 电网技术, 2022, 46(11): 4217–4230
DU Jianan, HAN Xiaoqing, LI Tingjun, et al. Optimization strategy of multi-microgrid electric energy cooperative operation considering electricity price uncertainty and game cheating behaviors[J]. Power System Technology, 2022, 46(11): 4217–4230
[15] 刘向军, 牟明亮, 黄绍模, 等. 考虑充电功率衰减的电动汽车两阶段优化调度策略[J]. 电网技术, 2021, 45(7): 2656–2666
LIU Xiangjun, MU Mingliang, HUANG Shaomo, et al. Two-stage optimal scheduling strategy of electric vehicle considering charging power decay[J]. Power System Technology, 2021, 45(7): 2656–2666
[16] 杨洁, 王国胤, 刘群, 等. 正态云模型研究回顾与展望[J]. 计算机学报, 2018, 41(3): 724–744
YANG Jie, WANG Guoyin, LIU Qun, et al. Retrospect and prospect of research of normal cloud model[J]. Chinese Journal of Computers, 2018, 41(3): 724–744
[17] 汪元芹, 刘敏. 考虑现货电价及分布式电源不确定性的售电商购售电决策模型[J]. 电力科学与工程, 2021, 37(11): 62–71
WANG Yuanqin, LIU Min. Electricity purchase and sale decision modelling for electricity retailers considering the uncertainty of spot electricity price and distributed power generation[J]. Electric Power Science and Engineering, 2021, 37(11): 62–71
[18] 车百智库, 自然资源保护协会. 车网协同能力建设指南[R].
[19] 关立, 周蕾, 刘航航, 等. 独立储能电站参与电力现货市场机制及试运行分析[J]. 中国电力, 2022, 55(10): 185–190
GUAN Li, ZHOU Lei, LIU Hanghang, et al. Mechanism and trial operation analysis of independent energy storage power station participating in spot electricity market[J]. Electric Power, 2022, 55(10): 185–190
[20] 庄晓丹, 刘卫东, 黄为群, 等. 浙江电力现货市场环境下储能的市场交易机制与效益分析[J]. 中国电力, 2022, 55(6): 80–85
ZHUANG Xiaodan, LIU Weidong, HUANG Weiqun, et al. Energy storage market trading mechanism and benefit analysis of Zhejiang power spot market[J]. Electric Power, 2022, 55(6): 80–85
[21] 阎洁, 许成志, 刘永前, 等. 基于风速云模型相似日的短期风电功率预测方法[J]. 电力系统自动化, 2018, 42(6): 53–59
YAN Jie, XU Chengzhi, LIU Yongqian, et al. Short-term wind power prediction method based on wind speed cloud model in similar day[J]. Automation of Electric Power Systems, 2018, 42(6): 53–59
[22] 王泽爽, 陈嘉俊, 朱建全, 等. 计及循环寿命的储能优化配置与运营策略[J]. 电力自动化设备, 2021, 41(10): 75–81
WANG Zeshuang, CHEN Jiajun, ZHU Jianquan, et al. Optimal configuration and operation strategy of energy storage considering cycle life[J]. Electric Power Automation Equipment, 2021, 41(10): 75–81
[23] 肖迁, 焦志鹏, 穆云飞, 等. 基于LightGBM的电动汽车行驶工况下电池剩余使用寿命预测[J]. 电工技术学报, 2021, 36(24): 5176–5185
XIAO Qian, JIAO Zhipeng, MU Yunfei, et al. LightGBM based remaining useful life prediction of electric vehicle lithium-ion battery under driving conditions[J]. Transactions of China Electrotechnical Society, 2021, 36(24): 5176–5185
[24] 刘一欣, 郭力, 王成山. 微电网两阶段鲁棒优化经济调度方法[J]. 中国电机工程学报, 2018, 38(14): 4013–4022,4307
LIU Yixin, GUO Li, WANG Chengshan. Economic dispatch of microgrid based on two stage robust optimization[J]. Proceedings of the CSEE, 2018, 38(14): 4013–4022,4307
[25] 章枫, 房乐, 陆承宇, 等. 计及电池寿命的储能参与调频市场收益分析[J]. 浙江电力, 2021, 40(12): 61–68
ZHANG Feng, FANG Le, LU Chengyu, et al. Market returns analysis of energy storage participating in frequency regulation considering battery life[J]. Zhejiang Electric Power, 2021, 40(12): 61–68
[26] 李柯江, 宋天昊, 韩肖清, 等. 计及电价不确定性和损耗成本的储能竞价策略[J]. 电力系统自动化, 2020, 44(17): 52–59
LI Kejiang, SONG Tianhao, HAN Xiaoqing, et al. Bidding strategy of energy storage considering electricity price uncertainty and loss cost[J]. Automation of Electric Power Systems, 2020, 44(17): 52–59