电-碳耦合市场下风-光-储协同竞价与收益分配OA
Wind-solar-storage Coordinated Bidding and Revenue Allocation in the Electric-carbon Coupling Market
为提升清洁能源消纳水平、优化市场主体协同收益,构建电-碳耦合市场下风-光-储协同竞价决策与收益分配机制.首先,针对现货市场交易规则,建立双层竞价模型.上层量化日前市场利润、日内市场偏差成本;下层以全社会福利最大化为目标,实现市场出清.其次,提出电-碳耦合市场下基于合作博弈的协同竞价模型,实现风-光-储协同参与电力市场电量交易、碳市场交易与调峰服务的多元市场化收益.同时,通过动态权重自适应调整各指标影响权重,精准量化各发电商的协同贡献,提出考虑容量贡献度、发电成本系数及市场参与度的改进Shapley值分配方法.采用比利时Elia电网公开数据进行仿真,结果表明,参与电力市场相比,风-光-储协同收益提升16.53%,清洁能源利用率提高3.5%;参与电-碳耦合市场相比,风-光-储协同收益提升22.37%,清洁能源利用率提升2.9%.
To enhance the level of clean energy consumption and optimize the collaborative benefits of market entities,a wind-solar-storage collaborative bidding decision-making and profit distribution mechanism is proposed in the electric-carbon coupling market.Firstly,according to the trading rules of the spot market,a dual-layer bidding model is established,with the upper layer quantifying the profit of the day-ahead market and the deviation cost of the intra-day market.The lower level aims to maximize the overall social welfare and achieve clearing prices in the market.Secondly,a collaborative bidding model based on cooperative game theory will be proposed to achieve profits of wind-solar-storage in multi-markets,including power market trading,carbon market quota settlement,and peak-shaving services.Meanwhile,through dynamic weight adaptive adjustment of the influence weights of each indicator,the collaborative contribution of each power generator is accurately quantified.An improved Shapley value allocation method considering capacity contribution,power generation cost coefficient,and market participation is proposed.The simulation results based on publicly available data from the Elia power grid in Belgium show that compared to participating in the electric market,the wind-solar-storage synergy profits increase by 16.53%,and the clean energy utilization rate is enhanced by 3.5%.Compared to participating in the electric-carbon coupling market,the wind-solar-storage synergy profits increase by 22.37%,and the clean energy utilization rate is enhanced by 2.9%.
穆思宇;王海鑫;董健;杨子豪;夏明超;杨俊友;陈哲
沈阳工业大学电气工程学院,辽宁省 沈阳市 110870沈阳工业大学电气工程学院,辽宁省 沈阳市 110870国网辽宁省电力有限公司经济技术研究院,辽宁省 沈阳市 110015沈阳工业大学电气工程学院,辽宁省 沈阳市 110870沈阳工业大学电气工程学院,辽宁省 沈阳市 110870沈阳工业大学电气工程学院,辽宁省 沈阳市 110870丹麦奥尔堡大学能源技术系,丹麦 奥尔堡 DK-9220
管理科学
风-光-储发电商电-碳耦合市场合作博弈改进Shapley值竞价策略
wind-solar-storage power generatorselectric-carbon coupling marketcooperative game theoryimproved shapley valuebidding strategy
《全球能源互联网》 2026 (4)
551-561,11
国家自然科学基金项目(52177065)高等学校学科创新引智计划(D23005).National Natural Science Foundation of China(52177065)The 111 Project(D23005).
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