Paper
6 February 2024 Optimal scheduling of power systems with wind and solar power generation considering green certificate trading mechanism and energy storage cost
Guihong Yan, Ke Lei, Dandan Li, Huadong Xing, Aijun Zhang, Teng Mu
Author Affiliations +
Proceedings Volume 12979, Ninth International Conference on Energy Materials and Electrical Engineering (ICEMEE 2023); 129796L (2024) https://doi.org/10.1117/12.3016039
Event: 9th International Conference on Energy Materials and Electrical Engineering (ICEMEE 2023), 2023, Guilin, China
Abstract
In order to reduce the carbon emission and promote the consumption of renewable energy, the green certificate trading mechanism is introduced into the optimal scheduling of the power system, and electric energy storage is introduced to enhance the flexibility of the power system to promote the consumption of new energy. Firstly, the green certificate trading mechanism can realize the economic carbon emission. In this paper the cost model of green certificate trading mechanism is established, and then the optimal scheduling model aiming at the lowest total cost is constructed, which comprehensively considers the cost of green certificate trading mechanism, energy storage operating cost, conventional thermal power unit operating cost, wind power operating cost, photovoltaic operating cost and various constraints of the system. Finally, through the analysis of simulation examples, it is verified that the introduction of green certificate trading mechanism and energy storage can effectively optimize the energy structure and reduce the carbon emission of the system.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Guihong Yan, Ke Lei, Dandan Li, Huadong Xing, Aijun Zhang, and Teng Mu "Optimal scheduling of power systems with wind and solar power generation considering green certificate trading mechanism and energy storage cost", Proc. SPIE 12979, Ninth International Conference on Energy Materials and Electrical Engineering (ICEMEE 2023), 129796L (6 February 2024); https://doi.org/10.1117/12.3016039
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KEYWORDS
Solar energy

Renewable energy

Carbon

Wind energy

Photovoltaics

Thermal modeling

Mathematical optimization

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