标题:Energy Saving Schedule of Mine Drainage System Based on Particle Swarm Optimization
作者:Sang, Jinguo; Cui, Huanqing
通讯作者:Cui, Huanqing;Cui, HQ
作者机构:[Sang, Jinguo; Cui, Huanqing] Shandong Univ Sci & Technol, Coll Comp Sci & Engn, Qingdao 266590, Shandong, Peoples R China.
会议名称:International Conference on Computer Information Science and Application Technology (CISAT)
会议日期:DEC 07-09, 2018
来源:2018 INTERNATIONAL CONFERENCE ON COMPUTER INFORMATION SCIENCE AND APPLICATION TECHNOLOGY
出版年:2019
卷:1168
期:2
DOI:10.1088/1742-6596/1168/2/022001
摘要:During mine construction and production, drainage system cost is the main component, so it is valuable to optimize its schedule to reduce the cost. Since many mines use time-of-use electricity, the paper proposes an algorithm to obtain the best schedule. The algorithm consists of two steps: predicting the water level using exponential moving average, and solving the optimal scheduling problem using particle swarm optimization. The particle swarm optimization is improved to make it fast convergent. Experiments are performed with the real data of a gold mine in China, and the result show that the proposed algorithm can reduce cost distinctly.
收录类别:CPCI-S;EI
资源类型:会议论文
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