Journal of System Simulation
Abstract
Abstract: 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.
Recommended Citation
Ren, Zhiling and Han, Jiahao
(2020)
"Energy Saving Control Research on Mine Drainage System Based on Model Predictive Control,"
Journal of System Simulation: Vol. 27:
Iss.
12, Article 22.
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol27/iss12/22
First Page
3032
Revised Date
2014-10-02
DOI Link
https://doi.org/
Last Page
3036
CLC
TP391.9
Recommended Citation
Ren Zhiling, Han Jiahao. Energy Saving Control Research on Mine Drainage System Based on Model Predictive Control[J]. Journal of System Simulation, 2015, 27(12): 3032-3036.
Included in
Artificial Intelligence and Robotics Commons, Computer Engineering Commons, Numerical Analysis and Scientific Computing Commons, Operations Research, Systems Engineering and Industrial Engineering Commons, Systems Science Commons