基于MPC的煤矿井下排水系统节能控制策略研究

发布时间：2018-12-14 04:57

【摘要】：针对煤矿井下排水系统的节能问题,运用测量的涌水量数据建立了巷道内涌水量与时间关系的灰色预测数学模型,经过分析确立了系统的经济模型。利用模型预测控制建立了非高峰期的煤矿水泵抽水的调度,对灰色预测模型执行了模型预测控制仿真,并且预测了早晚用电高峰时期内的涌水量变化,最终制定了用于系统削峰填谷的节能策略。结果表明在非高峰期内,基于模型预测控制确立的水泵调度可以有效地减少用电成本,而高峰期内,在模型预测控制的作用下,灰色预测模型可以对涌水量进行高效地预测,能够使系统精确地转移负荷。节能策略在使矿井排水系统到达了高效的节能效果的同时也满足了水位等约束。
[Abstract]:Aiming at the problem of energy saving of underground drainage system in coal mine, the grey prediction mathematical model of the relationship between water discharge and time in roadway is established by using the measured water inflow data, and the economic model of the system is established through analysis. The model predictive control is used to set up the water pumping operation of coal mine pump during the off-peak period, and the model predictive control simulation is carried out for the grey forecasting model, and the variation of water inflow during the peak period of power consumption in the morning and evening is predicted. Finally, the energy saving strategy for the system to cut the peak and fill the valley is formulated. The results show that the water pump scheduling based on model predictive control can effectively reduce the cost of electricity consumption during off-peak period, and during the peak period, the grey forecasting model can efficiently predict the water inflow under the action of model predictive control. Enables the system to accurately shift the load. Energy saving strategy not only makes mine drainage system achieve high efficiency energy saving effect, but also meets the constraints of water level.
【作者单位】：辽宁工程技术大学电气与控制工程学院;
【基金】：国家自然科学基金(51274118) 辽宁省优秀科技人才支持计划(LR2013014)
【分类号】：TD744;TP273

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