A distributed low-carbon dispatch model for regional multi-integrated energy microgrids considering carbon trading

Jianli Zhao; Jiani Xiang; Ziteng Liu; Yi Lu; Lei Qi; Qian Ai; Di Wang; Weijian Tao

doi:10.1117/12.3025110

13 May 2024 A distributed low-carbon dispatch model for regional multi-integrated energy microgrids considering carbon trading

Jianli Zhao, Jiani Xiang, Ziteng Liu, Yi Lu, Lei Qi, Qian Ai, Di Wang, Weijian Tao

Author Affiliations +

Proceedings Volume 13159, Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023); 131590Z (2024) https://doi.org/10.1117/12.3025110
Event: Eighth International Conference on Energy System, Electricity and Power (ESEP 2023), 2023, Wuhan, China

Abstract

Integrated energy microgrids, as an important means of realizing coupled and complementary energy sources, are of great significance in promoting the transformation of the energy structure and accelerating the realization of the dual-carbon goal. In the same region, the energy interaction of multi-microgrids can realize energy mutualization, improve the level of new energy consumption and reduce carbon emissions. Based on this, this paper proposes a regional multi-microgrid distributed dispatch model. A single microgrid scheduling model based on carbon trading mechanism is established. On this basis, a multi-microgrid cooperative operation model is proposed considering the energy sharing of multi-microgrids. Finally, a consensus-based ADMM algorithm is used for distributed scheduling of multiple microgrids. The arithmetic example verifies the effectiveness of the proposed model.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Jianli Zhao, Jiani Xiang, Ziteng Liu, Yi Lu, Lei Qi, Qian Ai, Di Wang, and Weijian Tao "A distributed low-carbon dispatch model for regional multi-integrated energy microgrids considering carbon trading", Proc. SPIE 13159, Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023), 131590Z (13 May 2024); https://doi.org/10.1117/12.3025110

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