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文章摘要
含电转气碳捕集协同热电联供运行的综合能源系统优化调度策略
An optimal scheduling strategy for integrated energy system considering combined heat and power with power-to-gas and carbon capture
Received:November 22, 2022  Revised:December 05, 2022
DOI:10.19753/j.issn1001-1390.2025.05.002
中文关键词: 热电联产  碳捕集  需求响应  可再生能源消纳  双层模型
英文关键词: combined heat and power, carbon capture, demand respond, renewable energy consumption, bi-level model
基金项目:国家自然科学基金(52007103)
Author NameAffiliationE-mail
Zhang Binqiao Collage of Electrical Engineering New Energy,China Three Gorges University zbq@ctgu.edu.cn 
Ran Yuanhang* Collage of Electrical Engineering New Energy,China Three Gorges University 13668419872@163.com 
Zhang Lei Collage of Electrical Engineering New Energy,China Three Gorges University 1062657609@qq.com 
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中文摘要:
      为实现我国碳达峰和碳中和的战略目标,探索可再生能源低碳高效利用刻不容缓。热电联产机组以热定电的工作模式对可再生能源的消纳提出了挑战。为此,提出电转气,碳捕集系统,分布式电源和热电联产机组协同运行框架并分析其耦合特性。构建以该框架为基础的综合能源系统优化调度模型,并建立用户需求响应模型。随后,以综合能源系统侧为上层优化模型主体,用户侧为下层优化模型主体提出基于主从博弈的双层优化模型及其求解方法。算例表明,所提模型及策略不但能够有效的提高可再生能源的消纳,减少热电联供机组的碳排放,还降低了系统的运行成本和用户的购能成本,提高了用户的用能效益和系统的经济效益。
英文摘要:
      In order to achieve the strategic targets of carbon peak and carbon neutrality in China, it is urgent to explore the low-carbon and efficient utilization of renewable energy. The cogeneration unit challenges the consumption of renewable energy with the working mode of combined heat and power. Therefore, the collaborative operation framework of power-to-gas, carbon capture system, distributed generation and combined heat and power unit is proposed and its coupling characteristics are analyzed. An optimal scheduling model of integrated energy system based on this framework is constructed, and a user demand response model is established. Then, taking the integrated energy system side as the upper optimization model subject, and the user side as the lower optimization model subject, a bi-level optimization model based on master-slave game is proposed, as well as its solution method. The example shows that the model and strategy proposed in this paper can not only effectively improve the consumption of renewable energy, reduce the carbon emissions of cogeneration units, but also reduce the operation cost of the system and the energy purchase cost of users, and improve the energy use efficiency of users and the economic benefit of the system.
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