电力系统自动化2024，Vol.48Issue(3)：22-30,9.DOI:10.7500/AEPS20230518008
基于碳捕集-电转气的矿区综合能源系统协同优化调度
Collaborative Optimal Scheduling of Coal Mine Integrated Energy System Based on Carbon Capture and Power to Gas
摘要
Abstract
Under the strategic goal of carbon emission peak and carbon neutrality,in order to promote the wind and photovoltaic(PV)accommodation and energy power low-carbon transformation,and improve the energy utilization rate of coal mine,this paper proposes a low-carbon economic scheduling model of coal mine integrated energy system(CMIES)with associated energy and the coupling of carbon capture and power to gas.Firstly,considering the utilization of associated energy in the coal mine such as gas,ventilation and water gushing,the basic model of CMIES is established,and the carbon capture and power-to-gas devices are used as coupling units to promote energy conservation,emission reduction and renewable energy accommodation.Secondly,the reward and punishment ladder-type carbon trading mechanism is introduced,and the collaborative optimal scheduling model of CMIES is established with the goal of minimizing the operation cost of the CMIES.Finally,taking a large coal mine in Yunnan,China as a case,the simulation analysis is carried out by setting different scenarios.The results show that the proposed model can promote the low-carbon economic operation of the CMIES and improve the wind and PV accommodation rate.关键词
矿区综合能源系统/碳捕集/电转气/伴生能源/阶梯式碳交易机制Key words
coal mine integrated energy system/carbon capture/power to gas/associated energy/ladder-type carbon trading mechanism引用本文复制引用
骆钊,罗蒙顺,沈鑫,王华,刘德文,喻品钦..基于碳捕集-电转气的矿区综合能源系统协同优化调度[J].电力系统自动化,2024,48(3):22-30,9.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). 本文得到云南省应用基础研究计划资助项目(202201AT070220,202101AT070080)和云南省兴滇英才支持计划(KKRD202204024)帮助,特此感谢! This work is supported by National Key R&D Program of China(No.2022YFB2703500),National Natural Science Foundation of China(No.52277104)and Yunnan Provincial Key R&D Program of China(No.202303AC100003). （202303AC100003）
