Power transaction optimization model based on new energy power prediction algorithm

Dawei Wang

doi:10.1117/12.2642628

28 July 2022 Power transaction optimization model based on new energy power prediction algorithm

Dawei Wang

Proceedings Volume 12303, International Conference on Cloud Computing, Internet of Things, and Computer Applications (CICA 2022); 123032W (2022) https://doi.org/10.1117/12.2642628
Event: International Conference on Cloud Computing, Internet of Things, and Computer Applications, 2022, Luoyang, China

Abstract

The integrated energy system can break the barriers between energy subsystems. It can also realize the complementarity and collaborative optimization of multiple energy sources, and promote the consumption of clean energy and reduce environmental pollution. In order to improve the capacity of clean energy consumption and reduce carbon emissions and system operating costs, this paper establishes an optimal dispatching model of integrated energy system based on electricity trading, considering the objective function of minimizing the operating cost of integrated energy system. Compared with the traditional optimal dispatch model, the example analysis results of the integrated energy system optimal dispatch model based on electricity trading show that the wind power consumption capacity is increased by 25. 46%. The photovoltaic consumption capacity is increased by 30. 28%, the system carbon emissions are reduced by 177. 65 t, and the operation cost is reduced by 29, 539. 4 yuan. It is of great significance to improve the consumption of clean energy, reduce the operating cost and carbon dioxide emissions of the system by modeling and optimizing the scheduling analysis of the integrated energy system, improve the flexibility and peak shaving capacity of the system, and realize the optimization of unit output and load curve.

Citation Download Citation

Dawei Wang "Power transaction optimization model based on new energy power prediction algorithm", Proc. SPIE 12303, International Conference on Cloud Computing, Internet of Things, and Computer Applications (CICA 2022), 123032W (28 July 2022); https://doi.org/10.1117/12.2642628

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