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1.昆明理工大学电力工程学院,云南省昆明市 650500
2.云南电网有限责任公司计量中心,云南省昆明市 650051
3.昆明理工大学冶金与能源工程学院,云南省昆明市 650500
骆钊(1986—),男,通信作者,博士,副教授,博士生导师,主要研究方向:区块链、电力市场与电力监管、能源互联网与电力规划、人工智能在电力系统中的应用。E-mail:waiting.1986@live.com
罗蒙顺(1999—),男,硕士研究生,主要研究方向:综合能源系统运行优化。E-mail:1519205249@qq.com
沈鑫(1981—),男,博士,高级工程师,主要研究方向:电能计量和智能电网。E-mail:725314514@qq.com
收稿:2023-05-18,
修回:2023-10-18,
网络出版:2024-01-10,
纸质出版:2024-02-10
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骆钊,罗蒙顺,沈鑫等.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.
LUO Zhao,LUO Mengshun,SHEN Xin,et al.Collaborative Optimal Scheduling of Coal Mine Integrated Energy System Based on Carbon Capture and Power to Gas[J].Automation of Electric Power Systems,2024,48(3):22-30.
骆钊,罗蒙顺,沈鑫等.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. DOI: 10.7500/AEPS20230518008.
LUO Zhao,LUO Mengshun,SHEN Xin,et al.Collaborative Optimal Scheduling of Coal Mine Integrated Energy System Based on Carbon Capture and Power to Gas[J].Automation of Electric Power Systems,2024,48(3):22-30. DOI: 10.7500/AEPS20230518008.
“双碳”战略目标下,为促进风光消纳与能源电力低碳转型、提高矿区能源利用率,提出一种含伴生能源和碳捕集与电转气耦合的矿区综合能源系统低碳经济调度模型。首先,综合考虑瓦斯、乏风、涌水等矿区伴生能源利用,建立矿区综合能源系统基本模型,并以碳捕集和电转气设备为耦合单元,促进节能减排与可再生能源消纳。然后,引入奖惩阶梯式碳交易机制,以矿区综合能源系统运行成本最小为目标,建立矿区综合能源系统协同优化调度模型。最后,以中国云南某大型煤矿为例,通过设置不同场景进行仿真分析。结果表明,所提模型能够促进矿区综合能源系统低碳经济运行,提高风光消纳率。
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.
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