| 引用本文: | 侯 慧,倪 恬,何梓姻,等.电能量-需求响应市场下电动汽车聚合商多元和谐投标策略[J].电力系统保护与控制,2025,53(17):37-46.[点击复制] |
| HOU Hui,NI Tian,HE Ziyin,et al.Multi-harmonious bidding strategy for electric vehicle aggregators in the energy-demand response market[J].Power System Protection and Control,2025,53(17):37-46[点击复制] |
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| 电能量-需求响应市场下电动汽车聚合商多元和谐投标策略 |
| 侯慧1,2,倪恬1,2,何梓姻1,2,向慕超3,黄亮1,2,张鹏超4 |
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| (1.武汉理工大学自动化学院，湖北 武汉 430070;2.武汉理工大学深圳研究院，广东 深圳 518000;
3.国网湖北省电力有限公司电力科学研究院，湖北 武汉 430077;4.国网湖北省电力
有限公司襄阳供电公司，湖北 襄阳 441002) |
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| 摘要: |
| 为探索“双碳”目标下电动汽车聚合商参与电力市场的有效机制，提出一种电能量-需求响应市场下电动汽车聚合商多元和谐投标策略。首先，在日前阶段根据电动汽车用户出行特性进行集群分类，评估可调潜力以参与日前电能量市场投标，并建立日前投标模型测算市场效益。其次，通过实时监测数据更新可调潜力，为避免偏差惩罚，电动汽车聚合商从需求响应聚合商处购买正负投标资源，即参与需求响应市场对偏差再投标。然后，为探寻电动汽车聚合商多元和谐投标策略，考虑基于非合作博弈与合作博弈问题的两类价格制定者模式，并与价格接受者模式对比。最后，通过算例分析验证所提策略在电力市场经济效益提升与电网削峰填谷的有效性。 |
| 关键词: 电动汽车 可调潜力 聚合商 电力市场 投标策略 |
| DOI：10.19783/j.cnki.pspc.247004 |
| 投稿时间：2024-09-30修订日期：2025-05-24 |
| 基金项目:国家自然科学基金项目资助(52177110)；深圳市科技计划资助(JCYJ20210324131409026)；国网湖北省电力有限公司项目资助(521538220005) |
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| Multi-harmonious bidding strategy for electric vehicle aggregators in the energy-demand response market |
| HOU Hui1,2,NI Tian1,2,HE Ziyin1,2,XIANG Muchao3,HUANG Liang1,2,ZHANG Pengchao4 |
| (1. School of Automation, Wuhan University of Technology, Wuhan 430070, China; 2. Shenzhen Research Institute,
Wuhan University of Technology, Shenzhen 518000, China; 3. Electric Power Research Institute, State Grid
Hubei Electric Power Co., Ltd., Wuhan 430077, China; 4. Xiangyang Power Supply Company,
State Grid Hubei Electric Power Company, Xiangyang 441002, China) |
| Abstract: |
| To explore effective mechanisms for new entities, such as electric vehicle (EV) aggregators, to participate in electricity markets under the “dual-carbon” goals, this paper proposes a multi-dimensional harmonious bidding strategy for EV aggregators in the energy-demand response market. First, at the day-ahead stage, EV clusters are classified based on the users’ travel characteristics, and their adjustable potential is assessed for participation in day-ahead energy market bidding. A corresponding day-ahead bidding model is established to evaluate market benefits. Second, the adjustable potential is updated in real-time through monitoring data. To avoid penalty for deviation, EV aggregators purchase both positive and negative bidding resources from demand response aggregators, i.e., re-biding through the demand response market. Then, to explore the multi-dimensional harmonious bidding strategy of EV aggregators, two price-setting models based on non-cooperative and cooperative game theory are considered and compared with the price-taker mode. Finally, case studies verify the effectiveness of the proposed strategy in improving economic benefits in the power market while contributing to peak shaving and valley filling in the grid. |
| Key words: electric vehicle adjustable potential electric vehicle aggregator electricity market bidding strategy |
