中国电机工程学报2026，Vol.46Issue(17)：6263-6275,中插10,14.DOI:10.13334/j.0258-8013.pcsee.250717
区域电热市场下组合双边拍卖机制设计及产消者竞价策略优化
Double Auction Mechanism Design and Optimal Bidding Strategy of Prosumers in Regional Electricity-heat Market
摘要
Abstract
The deregulation of power markets is expected to extend to heat markets in the future.Considering that heat is not suitable for long-distance transmission,the coupling operation of electricity and heat markets at the regional level is more practical.Therefore,a combinatorial double auction market(CDAM)is designed in this paper.The optimal bidding strategy based on hierarchical reinforcement learning for prosumers is proposed.First,according to the characteristics of energy coupling in regional electricity-heat market,a double auction mechanism,including bidding mechanism and clearing mechanism,is established,taking the combination of electricity and heat as a single commodity.Then,considering the complexity of the bidding environment in the regional electricity-heat market,an optimal bidding strategy based on hierarchical multi-agent reinforcement learning is proposed,which includes the upper and lower layers learning the bidding information of market public and private players respectively.Finally,taking a regional integrated energy system as an example,the simulation results show that the proposed combined double auction mechanism and optimal bidding strategy can increase the economic benefit of the regional integrated energy system by 20.1%.At the same time,compared with common"cost plus method","forecast clearing method"and"traditional reinforcement learning",the proposed bidding strategy is more competitive in the market.关键词
区域电热市场/组合双边拍卖/产消者/竞价策略/分层强化学习Key words
regional electricity-heat market/combinatorial double auction/prosumer/bidding strategy/hierarchical multi-agent reinforcement learning分类
信息技术与安全科学引用本文复制引用
单杰,李振坤,符杨..区域电热市场下组合双边拍卖机制设计及产消者竞价策略优化[J].中国电机工程学报,2026,46(17):6263-6275,中插10,14.基金项目
国家自然科学基金项目(U2066214). Project Supported by National Natural Science Foundation of China(U2066214). （U2066214）
