Low carbon optimization scheduling of integrated energy systems considering solid thermal storage energy storage
The power energy system containing new energy storage has become an important path to achieve the goal of low-carbon energy. At present, electrochemical energy storage is facing life and cost problems and cannot be carried out on a large scale. In order to improve the utilization rate of new energy, this paper proposes a comprehensive energy low-carbon optimization operation strategy that considers the participation of solid thermal storage in cogeneration-type energy storage. Firstly, the new energy characteristics of the example region with a predominantly continental climate are taken as the background to establish a multi-energy coupled energy system consisting of solid heat storage, waste heat boiler and gas turbine with electricity, heat and gas. Secondly, the operation model of sensible heat solid heat storage type energy storage is established to realize thermoelectric decoupling and increase the flexibility of power supply and heating. Finally, establish a low-carbon economic operation goal based on system operating costs, tiered carbon trading costs, and maximum new energy consumption rate. The example shows that considering thermal energy storage power plant is more economical than electrochemical energy storage + thermal storage tank, which can further regulate the new energy output, reduce the system cost and carbon emissions, verify the effectiveness of the proposed operation strategy, and have the application reference value.
Authors
- Zhipeng XU
- Te Ba (ORCID: https://orcid.org/0000-0003-4732-2990)
- Yongxi Zhang (ORCID: https://orcid.org/0000-0002-4609-6189)
- Changming Wang (ORCID: https://orcid.org/0000-0002-9143-225X)
- Ming Yang (ORCID: https://orcid.org/0000-0002-2086-1858)
- Jin Chen
- Sun Junhai
- Ran Xintao
Publication Details
- Journal
- IET conference proceedings.
- Published
- 2025-03-01
- DOI
- https://doi.org/10.1049/icp.2025.0508
- Primary Topic
- Integrated Energy Systems Optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.00