考虑电-碳交易的虚拟电厂日前与实时优化调度方法

朱明成; 王嘉琦; 陈悦锴; 张忠; 王婷; 窦文娟; 包哲静

朱明成,王嘉琦,陈悦锴,张忠,王婷,窦文娟,包哲静.考虑电-碳交易的虚拟电厂日前与实时优化调度方法[J].电测与仪表,2026,63(6):1-14.
Zhu Mingchen,Wang Jiaqi,Chen Yuekai,Zhang Zhong,Wang Ting,Dou Wenjuan,Bao Zhejing.Day-ahead and real-time optimal scheduling for a virtual power plant considering electricity and carbon trading[J].Electrical Measurement & Instrumentation,2026,63(6):1-14.

考虑电-碳交易的虚拟电厂日前与实时优化调度方法

Day-ahead and real-time optimal scheduling for a virtual power plant considering electricity and carbon trading

DOI：10.19753/j.issn1001-1390.2026.06.001

中文关键词: 虚拟电厂优化调度电力市场碳市场不确定性

英文关键词:virtual power plant (VPP), optimal scheduling, electricity market, carbon market, uncertainty

基金项目:国家自然科学基金资助项目（U22B2098）

作者中文名	作者英文名	单位
朱明成	Zhu Mingchen	内蒙古电力(集团）有限责任公司
王嘉琦	Wang Jiaqi	内蒙古电力(集团）有限责任公司
陈悦锴	Chen Yuekai	浙江大学电气工程学院
张忠	Zhang Zhong	内蒙古电力(集团）有限责任公司
王婷	Wang Ting	内蒙古电力(集团）有限责任公司
窦文娟	Dou Wenjuan	内蒙古电力(集团）有限责任公司
包哲静	Bao Zhejing	浙江大学电气工程学院

摘要点击次数: 150

中文摘要:

文中研究虚拟电厂参与电力日前和实时市场以及碳市场的两阶段优化调度策略，以实现经济效益最大化。采用双阶段鲁棒随机优化调度模型，模拟虚拟电厂参与日前和实时市场的调度过程，采用场景随机优化方法处理电价不确定性，通过盒式不确定集描述风光可再生能源出力不确定性，考虑可再生能源出力最不利情景对日前调度方案在实时市场阶段进行实时调度再调整。考虑虚拟电厂参与阶梯碳价格机制的碳交易市场，在保证其经济效益的同时降低碳排放。实验结果表明，所提模型能够有效应对可再生能源不确定性，兼顾考虑电价波动场景，通过日前与实时调度实现虚拟电厂利润最大化，并通过碳交易价格机制减少运行过程中的碳排放，提升虚拟电厂的可持续性。

英文摘要:

This paper studies a two-stage scheduling optimal strategy for virtual power plant (VPP) participation in both day-ahead and real-time electricity markets, as well as the carbon market, with the aim of maximizing economic benefits. A two-stage robust stochastic optimal scheduling model is adopted to simulate the scheduling process of VPP participation in day-ahead and real-time markets. The scenario-based stochastic optimization method is used to handle the uncertainty of electricity prices, while the uncertainty of wind and solar renewable energy generation is described by using box uncertainty sets. The model considers the worst-case scenarios of renewable energy output to adjust the day-ahead scheduling plan in real-time market stage. It also incorporates the participation of VPP in carbon trading market with a stepped carbon pricing mechanism, aiming to reduce carbon emissions while ensuring the economic benefits of the VPP. Experimental results show that the proposed model can effectively address renewable energy uncertainty, integrate fluctuation scenarios of electricity price, and maximize the profit of VPP through day-ahead and real-time scheduling. Additionally, the carbon trading price mechanism helps reduce carbon emissions during operation and enhances the sustainability of the VPP.

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