基于CCS-ESS的多区域互联系统分布式低碳经济调度

IF 5 2区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Junhui Li , Yan Shao , Gang Mu , Xingxu Zhu , Gangui Yan , Cuiping Li
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引用次数: 0

摘要

在一个相互连接的多区域系统中,当传统的碳捕获发电厂(CCPP)释放灵活性以帮助可再生能源的消耗时,存在碳捕获强度下降的问题。提出了一种碳捕集与封存(CCS)与储能系统(ESS)协同运行的分布式实时低碳经济调度模型。首先,为了保证CCS的碳捕集强度,CCPP中的电碳是解耦的,电厂的净输出不再与碳捕集装置的能耗耦合。其次,构建CCS与ESS协同运行模型(CCS-ESS),根据系统实际运行情况做出合理的动作响应。第三,为全面准确地实现分布式经济调度优化,设计了实时分布式迭代求解框架。案例研究表明,与没有ESS的单独模式和有ESS的单独模式相比,合作模式下CCS的收益分别提高了24.18%和7.49%。进一步验证了所提方法的解质量和即插即用(PNP)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Distributed low-carbon economic dispatch of interconnected multi-area system with CCS-ESS
In an interconnected multi-area system, there is a problem of losing carbon capture intensity when the traditional carbon-capture-power-plants (CCPP) release flexibility to assist renewable energy consumption. This paper proposes a distributed real-time low-carbon economic dispatch with a cooperative operation model of carbon-capture-and-storage (CCS) and energy-storage-system (ESS). First, to ensure the carbon capture intensity of CCS, the electric carbon in the CCPP is decoupled, and the net output of the power plant is no longer coupled with the energy consumption of the carbon capture device. Second, the cooperative operation model for CCS and ESS (CCS-ESS) is constructed, which can make reasonable action responses according to the actual operation of the system. Third, to achieve distributed economic dispatch optimization completely and accurately, a real-time distributed iterative solution framework is designed. Case studies indicate the revenue of the CCS under the cooperative mode is improved by up to 24.18 % and 7.49 % compared with the individual mode without and with the ESS. Further, the solution quality and Plug-and-Play (PNP) of the proposed methods are verified.
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来源期刊
International Journal of Electrical Power & Energy Systems
International Journal of Electrical Power & Energy Systems 工程技术-工程:电子与电气
CiteScore
12.10
自引率
17.30%
发文量
1022
审稿时长
51 days
期刊介绍: The journal covers theoretical developments in electrical power and energy systems and their applications. The coverage embraces: generation and network planning; reliability; long and short term operation; expert systems; neural networks; object oriented systems; system control centres; database and information systems; stock and parameter estimation; system security and adequacy; network theory, modelling and computation; small and large system dynamics; dynamic model identification; on-line control including load and switching control; protection; distribution systems; energy economics; impact of non-conventional systems; and man-machine interfaces. As well as original research papers, the journal publishes short contributions, book reviews and conference reports. All papers are peer-reviewed by at least two referees.
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