Optimized the Microgrid Scheduling with Ice-Storage Air-Conditioning for New Energy Consumption

Yiping Xiao, Jiaxuan Li (), Xiyao Gong and Jun He
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Yiping Xiao: School of Electrical and Electronic Engineering, Hubei University of Technology, Wuhan 430068, China
Jiaxuan Li: School of Electrical and Electronic Engineering, Hubei University of Technology, Wuhan 430068, China
Xiyao Gong: School of Electrical and Electronic Engineering, Hubei University of Technology, Wuhan 430068, China
Jun He: School of Electrical and Electronic Engineering, Hubei University of Technology, Wuhan 430068, China

Sustainability, 2024, vol. 16, issue 12, 1-19

Abstract: In the face of the stochastic, fluctuating, and intermittent nature of the new energy output, which brings significant challenges to the safe and stable operation of the power system, it is proposed to use the ice-storage air-conditioning to participate in the microgrid optimal scheduling to improve wind and light dissipation. This paper constructs an optimal scheduling model for the ice-storage air-conditioning to participate in the microgrid, analyzes the regulation advantages of the ice-storage air-conditioning’s cold storage and cold release process and its participation in the scheduling process; secondly, based on the scenario method, the scenario modeling of the microgrid distributed wind and light output uncertainty and cold load uncertainty is carried out; lastly, an optimal scheduling model is constructed to minimize the operation and maintenance cost of each unit and the storage cost of the ice-storage air-conditioning, the highest rate of clean energy generation and the lowest cost of electricity consumption of the air-conditioning users as the objective function. The example simulations show that the proposed optimal scheduling model can promote the new energy consumption rate of the microgrid, proving that the ice-storage air-conditioning is more economical compared with ordinary air-conditioning and that the operating cost within the optimized microgrid is reduced by about 10.5%. The cost of the air-conditioning users’ electricity consumption has been reduced by about 11.7% after responding to the regulation.

Keywords: new energy consumption; ice-storage air-conditioning; microgrid scheduling; the NSGA-III algorithm (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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