Optimization model for two-level microgrid operation with demand response

Kailang Gao

doi:10.1117/12.2682376

26 May 2023 Optimization model for two-level microgrid operation with demand response

Kailang Gao

Proceedings Volume 12700, International Conference on Electronic Information Engineering and Data Processing (EIEDP 2023); 127001K (2023) https://doi.org/10.1117/12.2682376
Event: International Conference on Electronic Information Engineering and Data Processing (EIEDP 2023), 2023, Nanchang, China

Abstract

The article establishes a two-layer optimization model, in which the user-side load and the microgrid operation are combined. The upper layer of optimization establishes a demand response model based on the adjustable characteristics of the load and the time characteristics of the time-sharing tariff. To give full play to the characteristics of the demand response that can cut the peaks and fill the valleys, to reduce the energy cost on the user side and improve the energy utilization, and the lower-level optimization is based on the best demand response results obtained from the upper layer of optimization. Based on the supply-demand balance, Regulating the output power of distributed energy sources at various times of the day, in order to reduce the cost of microgrid system operation. Finally, the proposed method is validated by solving the two-layer optimization model with an improved particle swarm algorithm.

Citation Download Citation

Kailang Gao "Optimization model for two-level microgrid operation with demand response", Proc. SPIE 12700, International Conference on Electronic Information Engineering and Data Processing (EIEDP 2023), 127001K (26 May 2023); https://doi.org/10.1117/12.2682376

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