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考虑碳排放需求响应及碳交易的电力系统双层优化调度 被引量:3

Bi-Level Optimal Scheduling of Power System Considering Carbon Demand Response and Carbon Trading
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摘要 发展低碳发电技术及有效参与碳配额市场交易是促进电力低碳转型的关键,借助储能和需求响应等灵活资源,产消者在电能生产和消费上具有更强的平衡能力。基于碳排放流理论提出了一种考虑碳排放需求响应及碳交易的电力系统双层优化调度模型。以配电网的节点碳势作为产消者需求响应的价格因素之一,通过上层配电网与下层产消者之间供/用能信息及电价、碳价信息的交互传递实现配电网优化运行。下层的产消者之间基于运行计划进行碳配额交易,并通过纳什议价方式完成收益确定。算例分析验证了所提模型在控制系统碳排放、促进需求响应积极性等方面的有效性。 The development of low-carbon power generation technologies and effective participation in carbon quota market trading are the keys to promoting low-carbon transformation of electric power,and with the help of flexible resources such as energy storage and demand response,the prosumers have stronger balancing capabilities in electric energy production and consumption.A two-layer optimal scheduling model of the power system considering carbon demand response and carbon trading is proposed based on the carbon flow theory.The node carbon potential of the distribution network is used as one of the price factors for the demand response of producers and consumers,and the optimal operation of the distribution network is realized through the interactive transmission of supply/consumption information as well as electricity price and carbon price information between the upper distribution network and the lower producers and consumers.The lower tier producers and consumers trade carbon allowances based on the operation plan and determine the revenue through the Nash bargaining method.Case simulations verify the effectiveness of the model proposed in this paper in controlling the carbon emissions of the system and promoting the enthusiasm of demand response.
作者 张妍 冷媛 尚楠 梁梓杨 石昊 罗钢 ZHANG Yan;LENG Yuan;SHANG Nan;LIANG Ziyang;SHI Hao;LUO Gang(China Southern Power Grid Energy Development Research Institute Ltd.,Guangzhou 510663,China;Beijing Tsintergy Technology Co.,Ltd.,Beijing 100084,China)
出处 《电力建设》 CSCD 北大核心 2024年第5期94-104,共11页 Electric Power Construction
基金 国家重点研发计划项目(2022YFB2403100) 中国南方电网有限责任公司科技项目(ZBKJXM20220010) 南网能源院电碳耦合系统研究平台V1.0建设项目(2800002022030102DGO0005)。
关键词 碳排放需求响应 碳交易 产消者 双层优化 carbon demand response carbon trading prosumer bi-level optimization
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