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考虑碳交易及需求响应的虚拟电厂运行优化策略

Virtual power plant operation optimization strategy considering carbon trading and demand response
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摘要 为有效提升虚拟电厂的碳减排能力和经济效益水平,提出一种考虑多种柔性电负荷参与需求响应的虚拟电厂运行优化方法。首先,综合考虑柔性电负荷特性并进行分类,建立虚拟电厂的柔性电负荷多元化模型;其次,对传统阶梯式碳交易价格模式进行优化,建立改进阶梯式碳交易机制模型,推动系统碳减排;然后,综合考虑系统运行成本和碳交易成本,以总运行成本最小为目标,建立虚拟电厂运行优化模型,并利用CpleX求解器对模型进行求解;最后,设置3种场景进行对比分析以验证模型的有效性。结果表明,制定合理的碳交易基价和碳交易区间长度能够协同低碳性和经济性,改进阶梯式碳交易机制和需求响应均可降低虚拟电厂的运行成本,减少碳排放量,能够带来巨大的经济效益和环境效益。 In order to effectively improve the carbon emission reduction ability and economic benefit level of virtual power plant,a virtual power plant operation optimization method considering various flexible electric loads participating in demand response was proposed.Firstly,considering the characteristics of flexible electric load and classifying it,a diversified model of flexible electric load of virtual power plant was established.Secondly,the traditional stepped carbon trading price model was optimized,and the improved stepped carbon trading mechanism model was established to promote the system carbon emission reduction.Then,considering the system operation cost and carbon trading cost comprehensively,the virtual power plant operation optimization model was established to minimize the total operation cost,and the model was solved by Cplex solver.Finally,three scenarios were set for comparative analysis to verify the effectiveness of the model.The results show that reasonable carbon trading base price and carbon trading interval length can cooperate with low carbon and economy,and the improvement of the cascade carbon trading mechanism and demand response can reduce the operating costs of virtual power plants,reduce carbon emissions,and bring huge economic and environmental benefits.
作者 李文琦 孙伟卿 杨文威 LI Wenqi;SUN Weiqing;YANG Wenwei(School of Mechanical Engineering,University of Shanghai for Science and Technology,Shanghai 200093,China;School of Intelligent Emergency Management,University of Shanghai for Science and Technology,Shanghai 200093,China;Shanghai Jiaqi Intelligent Technology Co.,Ltd.,Shanghai 200442,China)
出处 《上海理工大学学报》 CAS CSCD 北大核心 2024年第5期484-493,共10页 Journal of University of Shanghai For Science and Technology
基金 国家自然科学基金资助项目(51777126)。
关键词 虚拟电厂 改进阶梯式碳交易 需求响应 低碳经济运行 virtual power plant improved stepped carbon trading demand response low-carbon and economic operation
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