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。
Grey model of water inflow in tunnel and time with measuring data and economic model was established after analysis for energy conservation issue of mine drainage system. Using model predictive control, a coal mines pumping water pump scheduling in non-peak periods was establish, executing the simulation of the gray model based on model predictive control and predicting the water inflow at times of peak demand in morning and evening. A load shifting schedule for system was formulated. The result show that the pump scheduling established in non-peak periods based on model predictive control can reduce the cost of electricity effectively while the gray model can predict inflow efficiently based on model predictive control in peak hours so that it can be able to make system to transfer the load accurately. The energy-saving strategies make mine drainage system to reach a highly efficient energy-saving effect and also to meet the water and other constraints.
出处
《系统仿真学报》
CAS
CSCD
北大核心
2015年第12期3032-3036,3043,共6页
Journal of System Simulation
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)
关键词
模型预测控制
煤矿排水系统
水泵调度
节能
model predictive control
mine drainage system
pump scheduling
energy saving
