Optimal control method for regional integrated energy system considering optimal consumption of clean energy

Dong Zhang; Shijie Huang; Yuxing An

doi:10.1117/12.3033397

16 October 2024 Optimal control method for regional integrated energy system considering optimal consumption of clean energy

Dong Zhang, Shijie Huang, Yuxing An

Author Affiliations +

Proceedings Volume 13291, Ninth International Symposium on Advances in Electrical, Electronics, and Computer Engineering (ISAEECE 2024); 132913C (2024) https://doi.org/10.1117/12.3033397
Event: Ninth International Symposium on Advances in Electrical, Electronics, and Computer Engineering (ISAEECE 2024), 2024, Changchun, China

Abstract

Aiming at the problems of solar curtailment and wind curtailment in the integrated energy system, an optimal control method considering the optimal consumption of clean energy is proposed. Regional Integrated Energy System (RIES) usually adopts multiple consumption technologies to solve problems such as curtailment of light and wind. On this basis, this paper establishes a RIES optimization model including Air Source Heat Pump (ASHP), photovoltaic units, wind turbines and energy storage systems. The source side adopts a robust optimization model including ASHP, which can not only remove the issue with wind energy output instability, but also expand grid for wind energy connection; the storage side uses the thermal energy time shifting properties of the heat storage device to establish a storage-discharge model to improve RIES. flexibility; finally, construct an optimal regulation model considering the optimal consumption of clean energy. The fake outcomes verify the potential of the suggested model. Compared with the traditional model, an optimal control model considering the optimal consumption of clean energy has more considerable renewable energy consumption capacity and economic benefits.

Citation Download Citation

Dong Zhang, Shijie Huang, and Yuxing An "Optimal control method for regional integrated energy system considering optimal consumption of clean energy", Proc. SPIE 13291, Ninth International Symposium on Advances in Electrical, Electronics, and Computer Engineering (ISAEECE 2024), 132913C (16 October 2024); https://doi.org/10.1117/12.3033397

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