矿井多水平接力排水系统优化控制

韩秀琪

韩秀琪.矿井多水平接力排水系统优化控制[J].工矿自动化,2020,46(9):109-112.. DOI: 10.13272/j.issn.1671-251x.2019120057
引用本文: 韩秀琪.矿井多水平接力排水系统优化控制[J].工矿自动化,2020,46(9):109-112.. DOI: 10.13272/j.issn.1671-251x.2019120057
HAN Xiuqi. Optimal control of mine multi-level relay drainage system[J]. Journal of Mine Automation, 2020, 46(9): 109-112. DOI: 10.13272/j.issn.1671-251x.2019120057
Citation: HAN Xiuqi. Optimal control of mine multi-level relay drainage system[J]. Journal of Mine Automation, 2020, 46(9): 109-112. DOI: 10.13272/j.issn.1671-251x.2019120057

矿井多水平接力排水系统优化控制

基金项目: 

国家重点研发计划资助项目(2017YFC0804307)

详细信息
  • 中图分类号: TD744

Optimal control of mine multi-level relay drainage system

  • 摘要: 矿井多水平接力排水系统的用电量非常大,为提高排水系统运行的经济性,需要优化排水系统控制,而目前的矿井多水平接力排水系统优化控制方法存在容易溢仓、水泵频繁启停等问题。针对上述问题,提出了一种矿井多水平接力排水系统优化控制策略。以各水平水仓水位必须处于最低水位与最高水位之间、各水平水仓排水量不小于涌水量为约束条件,1个排水周期内各水平用电成本之和最低为目标函数,建立了矿井多水平接力排水系统优化控制模型。通过在约束条件中引入裕量,避免了水泵频繁启停;利用灰色模型进行涌水量预测,以获得精确的水仓水位,避免了溢仓事故。应用结果表明,该优化控制策略在保证排水安全性的前提下,降低了排水系统用电成本。
    Abstract: The electricity consumption of mine multi-level relay drainage system is very large, in order to improve economy of drainage system operation, it is necessary to optimize drainage system control, but current optimal control methods of mine multi-level relay drainage system have some problems such as easy overflow of sump and frequent start and stop of water pump. For the above problems, an optimal control strategy of mine multi-level relay drainage system was proposed. The optimal control model of mine multi-level relay drainage system was established which took water level of each level sump must be between the lowest and highest level and displacement of each level sump should not be less than inflow as constraint conditions, and the lowest sum of electricity costs of each level within one drainage period as objective function. By introducing margin into flow constraint condition, frequent start and stop of water pump is avoided. Gray model is used to predict water inflow, so as to obtain accurate water level of sump and avoid overflow accident. The application results show that the optimal control strategy can reduce electricity cost of drainage system under premise of ensuring safety of drainage.
  • 期刊类型引用(1)

    1. 王国法,张良,李首滨,李森,冯银辉,孟令宇,南柄飞,杜明,付振,李然,王峰,刘清,王丹丹. 煤矿无人化智能开采系统理论与技术研发进展. 煤炭学报. 2023(01): 34-53 . 百度学术

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出版历程
  • 刊出日期:  2020-08-19

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