电测与仪表2026，Vol.63Issue(6)：1-14,14.DOI:10.19753／j.issn1001-1390.2026.06.001
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
摘要
Abstract
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 econom-ic 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 car-bon 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.关键词
虚拟电厂/优化调度/电力市场/碳市场/不确定性Key words
virtual power plant(VPP)/optimal scheduling/electricity market/carbon market/uncertainty分类
信息技术与安全科学引用本文复制引用
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):1-14,14.基金项目
国家自然科学基金联合基金重点项目(U22B2098) （U22B2098）
