流体机械

2018, v.46;No.547(01) 56-61

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基于人工蜂群算法的矿山泵机组运行优化
Operation Optimization of Mine Pump Units Based on Artificial Bee Colony Algorithm

刘伟;周邵萍;李长龙;薛胜雄;王从译;
LIU Wei;ZHOU Shao-ping;LI Chang-long;XUE Sheng-xiong;WANG Cong-yi;Key Laboratory of Safety Science of Pressurized System,Ministry of Education,East China University of Science and Technology;Hefei General Machinery Research Institute;

摘要(Abstract):

针对矿山井下排水系统能耗费用高的问题,结合分时电价,提出了以泵机组日排水耗电费用最小为目标,各时段水仓的水位为约束条件,各时段泵的开启台数为决策变量的矿山多泵机组日优化运行模型,并利用人工蜂群算法求解模型得到最优开机方案。最后以某煤矿排水系统的实际运行为例作了日优化运行计算,结果表明:该优化运行方案在满足矿山排水要求、保证安全生产的条件下,可显著降低排水费用。
Due to the problem of high energy cost in mine underground drainage system,a mathematical model considering timeof-use electricity tariff is presented. In this model,the water levels of water reservoir in each period are chosen as the constraint condition of the model,the number of open pump sets is in each period is chosen as the decision variable,while the minimum daily energy cost of the pump units is treated as the objective function of the operational model. And then the artificial bee colony algorithm is used to solve the model and get the best control sequence. Finally,the operation of a coal mine drainage system is taken as an example. The results show that the optimized operation scheme can reduce the drainage cost significantly under the condition of meeting the mine drainage requirements and ensuring the safety production.

关键词(KeyWords): 泵机组;人工蜂群算法;运行优化
pump units;artificial bee colony algorithm;operation optimization

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基金项目(Foundation): 国家科技支撑计划项目(2013BAF01B01)

作者(Author): 刘伟;周邵萍;李长龙;薛胜雄;王从译;
LIU Wei;ZHOU Shao-ping;LI Chang-long;XUE Sheng-xiong;WANG Cong-yi;Key Laboratory of Safety Science of Pressurized System,Ministry of Education,East China University of Science and Technology;Hefei General Machinery Research Institute;

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