电力建设2026，Vol.47Issue(1)：79-89,11.DOI:10.12204/j.issn.1000-7229.2026.01.007
计及碳排放成本的园区综合能源系统供需协同优化方法
Supply-Demand Co-optimisation of Park-Level Integrated Energy Systems Considering Carbon Emission Costs
摘要
Abstract
[Objective]Demand-side technologies contribute to energy conservation and load regulation in integrated energy systems.However,most existing models focus solely on optimising the supply-side factors.To address this gap,a supply-demand co-optimisation model for integrated energy systems is developed.[Methods]On the demand side,building performance simulation is used to generate a set of envelope retrofitting scenarios,and a load-shifting-based demand response strategy is introduced to enhance system flexibility.On the supply side,clustering methods are applied to extract typical days to represent annual variations in energy demand.A mixed-integer linear programming model is established to integrate these components and achieve supply-demand co-optimisation.[Results]A case study based on a community in Shanghai shows that the proposed co-optimisation model can reduce the total annual cost by approximately five percent compared to a supply-side-only optimisation approach.Moderate envelope retrofitting enables optimal system performance,and the associated costs can be offset by savings in operational,carbon emission,and installed capacity costs.[Conclusions]The proposed model provides theoretical support and practical reference for the efficient configuration and operational optimisation of integrated energy systems under carbon tax constraints.关键词
综合能源系统/供需协同优化/需求侧技术建模/碳税Key words
integrated energy system/supply-demand co-optimisation/demand-side modelling/carbon tax分类
信息技术与安全科学引用本文复制引用
窦真兰,诸卓琳,张春雁,李凌宇,王锰,景锐,于航..计及碳排放成本的园区综合能源系统供需协同优化方法[J].电力建设,2026,47(1):79-89,11.基金项目
This work is supported by the National Natural Science Foundation of China(No.52306027)and the National Key Research and Development Program of China(No.2018YFC0704602). 国家自然科学基金项目(52306027) （No.52306027）
国家重点研发计划项目(2018YFC0704602) （2018YFC0704602）
