阶梯式碳交易机制下的园区综合能源系统低碳鲁棒经济调度研究OA
Study on Low-Carbon,Robust,and Economic Dispatch of Park Integrated Energy Systems under a Stepped Carbon Trading Mechanism
为实现园区综合能源系统(PIES)的降碳减排与高效经济运行,文章基于阶梯式碳交易机制提出了一种考虑设备灵活运行特性的 PIES 低碳鲁棒经济调度策略.首先,基于 PIES 的能源系统架构,建立了考虑启停状态的设备灵活运行模型;其次,针对 PIES 源侧可再生能源出力的不确定性,采用场景分析法进行处理,并针对 PIES 荷侧可调度资源,建立了多类型电热柔性负荷模型,以提高系统运行的鲁棒性;最后,基于阶梯式碳交易机制,构建了考虑 PIES 源侧、荷侧及能源转换存储侧多种复杂运行约束的最优经济调度模型.实验结果表明,在考虑购能成本、设备运行成本及碳交易成本的前提下,本文所提调度策略能够实现 PIES 降碳减排效果和经济性提升的多重优化.
For the purpose of carbon emission reduction as well as efficient and economic operation of park integrated energy systems(PIES),this paper proposes a low-carbon,robust,and economic dispatch strategy that accounts for flexible equipment operation characteristics and is based on a stepped carbon trading mechanism.First,a flexible equipment operation model that incorporates start and stop conditions was established within the PIES energy flow framework.Then,a scenario analysis approach was used to deal with uncertainty in source-side renewable energy output,and a multi-type electric-thermal flexible load model was established that reflects the characteristics of dispatchable resources on the load side,to improve operational robustness.Finally,based on the stepped carbon trading mechanism,an optimal economic dispatch model was constructed,which incorporates multiple and complex operational constraints across the source,load,and energy conversion/storage sides.Experimental results show that,when accounting for costs including energy purchase,equipment operation and maintenance,and carbon trading,the proposed strategy enables simultaneous optimizations of carbon emission reduction and economic performance improvement for PIESs.
易康;周新鹏;石东山;邹今换;马锐;毛正江
中车株洲电力机车研究所有限公司,湖南 株洲 412001中车株洲电力机车研究所有限公司,湖南 株洲 412001中车株洲电力机车研究所有限公司,湖南 株洲 412001中车株洲电力机车研究所有限公司,湖南 株洲 412001中车株洲电力机车研究所有限公司,湖南 株洲 412001中车株洲电力机车研究所有限公司,湖南 株洲 412001
信息技术与安全科学
园区综合能源系统碳交易机制柔性负荷鲁棒性
park integrated energy systemcarbon trading mechanismflexible loadrobustness
《控制与信息技术》 2026 (2)
28-37,10
国家重点研发计划项目(2024ZD0800702)
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