Optimal scheduling method for belt conveyor system in coal mine considering silo virtual energy storage

Yunfei Mu, Taiang Yao, Hongjie Jia, Xiaodan Yu, Bo Zhao, Xuesong Zhang, Chouwei Ni and Lijia Du

Applied Energy, 2020, vol. 275, issue C, No S0306261920308801

Abstract: In order to reduce the high electricity cost of the belt conveyor system in a coal mine, a virtual energy storage model of the belt conveyor system is proposed based on the coal storage ability of silo. Through coordinated control of belt speed, feed rate, silo load rate and arrival time of the train, the virtual energy storage ability of silo is utilized to realize the power balance considering distributed generations in different period in response to the time-varying electricity price. The case study indicates that the optimal scheduling method in this paper can effectively reduce the electricity cost of the belt conveyor by 61.29%, and improve the power consumption level of the distributed generations, which can help realize the green and effective operation of the belt conveyor system.

Keywords: Belt conveyor (BC) system; Virtual energy storage (VES); Optimal scheduling; Distributed generation (DG) (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (4)

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DOI: 10.1016/j.apenergy.2020.115368

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