电力系统自动化2026，Vol.50Issue(8)：84-93,10.DOI:10.7500/AEPS20250714002
碳-绿证耦合市场环境下矿区-农业综合能源系统协同优化运行
Collaborative and Optimal Operation of Coal Mine-Agriculture Integrated Energy Systems Under Coupled Market Environment of Carbon and Green Certificates
摘要
Abstract
To address the challenges of heterogeneous energy flow coupling and multi-agent coordination in coal mine-agriculture integrated energy systems(CM-AIES),a multi-energy collaborative optimization method for coal mine-agriculture integrated energy systems that considers the coupling of carbon-green certificate trading mechanisms is proposed.Firstly,by comprehensively considering the energy endowments of coal mine and agriculture,the potential for mutual support among electricity,gas,and thermal energy,as well as the utilization of associated energy resources and biogas,a fundamental model of an electricity-gas-thermal collaborative and mutually supportive CM-AIES is constructed.Secondly,agricultural carbon sink resources are accounted for,and the coupling mechanism of the carbon-green certificate trading mechanism is analyzed.Then,with the objective of minimizing the total operational cost of the CM-AIES,a collaborative optimization scheduling model for the system that integrates the carbon-green certificate trading mechanism is established.Finally,different scenarios are set up for simulation analysis.The results demonstrate that the proposed model can achieve multi-energy coupling and complementarity in CM-AIES,effectively promoting low-carbon economic development and enhancing the consumption of wind and solar energy.关键词
综合能源系统/矿区/农业/主体/多能协同/碳交易/绿证交易Key words
integrated energy system/coal mine/agriculture/agent/multi-energy collaboration/carbon trading/green certificate trading引用本文复制引用
骆钊,唐定洋,李旭东,张涛,李家浩,梁峻恺..碳-绿证耦合市场环境下矿区-农业综合能源系统协同优化运行[J].电力系统自动化,2026,50(8):84-93,10.基金项目
国家重点研发计划资助项目(2022YFB2703500) （2022YFB2703500）
国家自然科学基金资助项目(52277104) （52277104）
云南省重点研发计划资助项目(202303AC100003). This work is supported by National Key R&D Program of China(No.2022YFB2703500),National Natural Science Foundation of China(No.52277104)and Key R&D Program of Yunnan Province(No.202303AC100003). （202303AC100003）
