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共享储能参与下的多类型电能交易投标策略及价值分配机制

褚龙浩 李笑竹

综合智慧能源2025,Vol.47Issue(8):30-39,10.
综合智慧能源2025,Vol.47Issue(8):30-39,10.DOI:10.3969/j.issn.2097-0706.2025.08.004

共享储能参与下的多类型电能交易投标策略及价值分配机制

Bidding strategies and value allocation mechanism for multi-type electric energy trading with participation of shared energy storage

褚龙浩 1李笑竹1

作者信息

  • 1. 新疆大学 可再生能源发电与并网技术教育部工程研究中心,乌鲁木齐 830047
  • 折叠

摘要

Abstract

To address the challenges brought by insufficient flexible regulation resources in the new power systems,the market-oriented reform is promoted and diversified market entities are cultivated in China's electricity sector,to address the value allocation issues related to shared energy storage in meeting multiple regulation demands,a new operational model for the participation of shared energy storage in multi-type power source markets is proposed,along with a flexibility resource value allocation mechanism based on the Vickrey Clarke Groves(VCG)mechanism.The operational model included three layers:the market layer,the bidding layer,and the dispatch layer,with decisions at each layer influencing one another.The electricity trading mechanism consisted of winning bidding decisions and financial settlement.The winning bidding decisions were based on the utility functions of multi-type power source operators to maximize social welfare.The VCG mechanism was applied to accurately identify and allocate the value of contributions made by different market participants in the electricity market.The feasibility and effectiveness of the proposed value allocation mechanism were verified using empirical data from the northwest new energy convergence region in China.

关键词

新型电力系统/共享储能/新能源/电能交易投标策略/价值分配/VCG机制/多类型市场主体

Key words

new power system/shared energy storage/renewable energy/electricity bidding strategy/value distribution/VCG mechanism/multi-type market entity

分类

能源科技

引用本文复制引用

褚龙浩,李笑竹..共享储能参与下的多类型电能交易投标策略及价值分配机制[J].综合智慧能源,2025,47(8):30-39,10.

基金项目

国家自然科学基金项目(52467014)National Natural Science Foundation Project(52467014) (52467014)

综合智慧能源

2097-0706

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