Optimal Operation of CCHP System Combined Electric Vehicles Considering Seasons

Junchao Cheng (), Yongyi Huang, Hongjing He, Abdul Matin Ibrahimi () and Tomonobu Senjyu
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Junchao Cheng: Department of Electrical and Electronics Engineering, University of the Ryukyus, Naha 903-0213, Japan
Yongyi Huang: Department of Electrical and Electronics Engineering, University of the Ryukyus, Naha 903-0213, Japan
Hongjing He: Department of Electrical and Electronics Engineering, University of the Ryukyus, Naha 903-0213, Japan
Abdul Matin Ibrahimi: Department of Electrical and Electronics Engineering, University of the Ryukyus, Naha 903-0213, Japan
Tomonobu Senjyu: Department of Electrical and Electronics Engineering, University of the Ryukyus, Naha 903-0213, Japan

Energies, 2023, vol. 16, issue 10, 1-21

Abstract: Energy shortage has always been a problem that the world needs to face. The combined cooling, heating, and power (CCHP) system, as a multi-level energy utilization system that can provide cooling, heating, and electric energy simultaneously, is considered to have good development prospects in alleviating energy problems. In addition, because of the rapid development of electric vehicles (EVs), using EVs as power supply devices has become a hot topic of research. In this paper, EVs are combined with the CCHP system as new power supply equipment, and the influence of the season on the user’s cooling, heating, and power demand is considered. Aiming at the minimum economic cost, the system is optimized by using the PSO algorithm in two operating modes: following electricity load (FEL) and following thermal load (FTL). The final results show that the participation of EVs can reduce costs in both operating modes, especially in FTL mode, which can reduce costs by 4.58%, 13.61%, 12.74%, and 3.57% in spring, summer, autumn, and winter, respectively. In addition, the FEL mode is more economical in spring and winter, and the FTL mode is more economical in summer and winter. In addition, the C O 2 emissions in FEL mode are always less than in FTL mode.

Keywords: CCHP; EV; PSO; optimization (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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