Cooperative optimization of power system based on demand response

Jincan Li; Leping Sun; Chengliang Zhu; Dan Wang; Bingyao Li

doi:10.1117/12.2680113

31 May 2023 Cooperative optimization of power system based on demand response

Jincan Li, Leping Sun, Chengliang Zhu, Dan Wang, Bingyao Li

Proceedings Volume 12704, Eighth International Symposium on Advances in Electrical, Electronics, and Computer Engineering (ISAEECE 2023); 127041I (2023) https://doi.org/10.1117/12.2680113
Event: 8th International Symposium on Advances in Electrical, Electronics and Computer Engineering (ISAEECE 2023), 2023, Hangzhou, China

Abstract

In the power system, various energy sources such as cooling, heating, and electricity are coupled and complementary. As a multi-energy supply and demand balance method, power demand response can further improve the flexibility and economy of the system. In order to clarify the influence of demand response on the optimal operation mode of multi-energy cooperative system, this paper proposes an optimal operation model of multi-energy cooperative system based on market-elastic price demand response. Firstly, the main body of the multi-energy cooperative system is analyzed, the multi-energy coupling characteristics are studied based on the energy hub model, and a price-based demand response model based on market elasticity is constructed. Secondly, the optimal operation model aiming at the lowest daily operating cost of the multi-energy cooperative system is established. Finally, combined with the calculation and analysis of actual cases, it is verified that the adoption of price-based demand response measures can significantly improve the economy of the power multi-energy collaborative system.

Citation Download Citation

Jincan Li, Leping Sun, Chengliang Zhu, Dan Wang, and Bingyao Li "Cooperative optimization of power system based on demand response", Proc. SPIE 12704, Eighth International Symposium on Advances in Electrical, Electronics, and Computer Engineering (ISAEECE 2023), 127041I (31 May 2023); https://doi.org/10.1117/12.2680113

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