Distributed low-carbon economic dispatch of interconnected multi-area system with CCS-ESS
• The CCPP is decoupled by electricity-carbon and the CCS-ESS optimization model is constructed. • A distributed iterative solution framework is built based on the improved ADMM algorithm. • The real-time distributed solution is applied in the interconnected multi-regional system including 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.
Authors
- Gangui Yan (ORCID: https://orcid.org/0000-0001-9524-9906)
- Yan Shao
- Xingxu Zhu
- Gang Mu (ORCID: https://orcid.org/0000-0002-4382-4929)
- Junhui Li (ORCID: https://orcid.org/0000-0001-6344-6147)
- Cuiping Li
Institutions
- Electric Power University (VN)
- Shanghai Electric (China) (CN)
Publication Details
- Journal
- International Journal of Electrical Power & Energy Systems
- Published
- 2025-05-16
- DOI
- https://doi.org/10.1016/j.ijepes.2025.110742
- Citations
- 1
- Primary Topic
- Integrated Energy Systems Optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.73