Optimal power system dispatch model considering carbon emission accounting and source-load uncertainty

Changzheng Gao; Yixuan Wang; Yuhan Liu; Dan Xu; Dongwei Li; Lei Zhu; Yongchun Yang

doi:10.1117/12.2689696

10 August 2023 Optimal power system dispatch model considering carbon emission accounting and source-load uncertainty

Changzheng Gao, Yixuan Wang, Yuhan Liu, Dan Xu, Dongwei Li, Lei Zhu, Yongchun Yang

Proceedings Volume 12748, 5th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2023); 1274835 (2023) https://doi.org/10.1117/12.2689696
Event: 5th International Conference on Information Science, Electrical and Automation Engineering (ISEAE 2023), 2023, Wuhan, China

Abstract

With the increasingly prominent environmental problems and the promotion of the “double carbon” goal, the participation of demand-side response resources in load peak shaving and valley filling is of great significance to the optimal operation of the power system. Based on the background that China's power demand-side response is rapidly developing and helping to implement the carbon peak target, this paper starts with optimizing dispatching and replaces the traditional price target with the system carbon emission target. Firstly, the stochastic fluctuation model of wind power and photovoltaic output is added to the power dispatching model of thermal power units, and the dispatching model taking into account the fluctuation of wind and solar power is established. Secondly, the uncertainty model of demand response is introduced, and the optimal dispatching model of power system considering the uncertainty of source and load is established. Then compare and analyze the dispatching models based on carbon target and cost target, and analyze the advantages and disadvantages of demand response in smoothing load, reducing carbon emissions and reducing power shortage risk after participating in power dispatching under different targets. Finally, through the analysis of the scheduling results of a typical peak-shaving scenario in a region, the important role of demand response resources in reducing the peak-valley difference of the power system and reducing carbon emissions is verified.

Citation Download Citation

Changzheng Gao, Yixuan Wang, Yuhan Liu, Dan Xu, Dongwei Li, Lei Zhu, and Yongchun Yang "Optimal power system dispatch model considering carbon emission accounting and source-load uncertainty", Proc. SPIE 12748, 5th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2023), 1274835 (10 August 2023); https://doi.org/10.1117/12.2689696

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KEYWORDS

Carbon

Photovoltaics

Wind energy

Solar energy

Systems modeling

Thermal modeling

Power consumption

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