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作 者:骆晨 何叶 章正 吴红斌[1] 尹元亚 潘文虎 Luo Chen;He Ye;Zhang Zheng;Wu Hongbin;Yin Yuanya;Pan Wenhu(Anhui Province Key Laboratory of Renewable Energy Utilization and Energy Saving(Hefei University of Technology),Hefei 230009,China;Electric Power Research Institute of State Grid Anhui Electric Power Co.,Ltd.,Hefei 230601,China;Wuhu Power Supply Company of State Grid Anhui Electric Power Co.,Ltd.,Wuhu 241000,China)
机构地区:[1]新能源利用与节能安徽省重点实验室(合肥工业大学),合肥230009 [2]国网安徽省电力有限公司电力科学研究院,合肥230601 [3]国网安徽省电力有限公司芜湖供电公司,芜湖241000
出 处:《太阳能学报》2025年第3期160-167,共8页Acta Energiae Solaris Sinica
基 金:国网安徽省电力有限公司科技项目(B312C0230007)。
摘 要:为兼顾源荷利益主体需求,计及发电权交易与准线型需求响应,设计配电网双层博弈论模型并提出两种收益分配策略。构建售电商与用户之间的双层博弈框架,火电售电商与光伏售电商通过发电权交易形成合作博弈,售电商与用户通过准线型需求响应形成主从博弈;考虑交易贡献率和对可再生能源的边际影响,采用两种不同的策略应对售电侧与用户的收益分配问题;利用遗传算法结合商业优化软件CPLEX求解博弈模型。通过算例系统进行验证,仿真结果表明所提模型和策略可进一步提升新能源消纳能力。To simultaneously consider the needs of the stakeholders of the source and load interests,this paper takes into account electricity trading and Baseline-based demand response for the distribution network.It designs a two-layer game theory model and proposes two revenue allocation strategies.A two-layer game framework is constructed between electricity retailers and consumers,in which the thermal power retailers and the photovoltaic power retailers engage in cooperative games through electricity trading,and the retailers and the consumers engage in stackelberg game through baseline-based demand response.Considering the transaction contribution rate and the marginal impact on renewable energy,two different strategies are adopted to address the revenue allocation problem between electricity retailers and consumers.The game model is solved using a combination of genetic algorithms and the commercial optimization software CPLEX.Through the validation of an example system,the simulation results show that the proposed model and strategies can further enhance the integration of renewable energy.
关 键 词:配电网 需求响应 博弈论 可再生能源 收益分配策略 混合整数线性模型
分 类 号:TM734[电气工程—电力系统及自动化]
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