Optimal Configuration of Hybrid Energy Storage Capacity in a Grid-Connected Microgrid Considering Laddering Carbon Trading and Demand Response

Zhanpeng Xu, Fuxin Chen, Xuefan Yang and Qinfen Lu ()
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Zhanpeng Xu: Power China Huadong Engineering Corporation Limited, Hangzhou 311122, China
Fuxin Chen: Power China Huadong Engineering Corporation Limited, Hangzhou 311122, China
Xuefan Yang: College of Electrical Engineering, Zhejiang University, Hangzhou 310058, China
Qinfen Lu: College of Electrical Engineering, Zhejiang University, Hangzhou 310058, China

Energies, 2023, vol. 17, issue 1, 1-15

Abstract: In order to enhance the carbon emission reduction capability and economy of the microgrid, a capacity optimization configuration method considering laddered carbon trading and demand response is proposed for a grid-connected microgrid consisting of photovoltaic, battery and hydrogen storage devices. Combined with the mathematical model and system structure of each unit in the microgrid, the integrated operation control strategy is determined in this paper. A demand response model containing three load types is developed to reduce the stress on the storage and generation side. A carbon-trading mechanism is introduced into the operating costs to establish a configuration model with annual overall profit and power supply reliability as the optimization objectives. The non-dominated sorting genetic algorithm II is used to optimize the capacity of each unit, and the effectiveness of this model is verified by taking a microgrid in a region in Northwest China as an example to analyze the impacts of ladder carbon trading and demand response on the configuration results and system operation.

Keywords: capacity configuration; grid-connected microgrid; carbon trading; demand response (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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