基于MPC的电厂输煤皮带机系统能源效率优化
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摘要
针对发电厂输煤皮带机系统能源效率较低的问题,提出了提高皮带机运行效率的优化控制方案。首先分析确立了皮带机功率的数学模型,然后利用基于有限元模型的动态参数分析法获得精确的优化参数,采用开环最优控制削峰填谷策略优化处理。最后根据系统中存在干扰产生控制误差的问题,引入模型预测控制算法(MPC)进行反馈校正和滚动优化。结果表明在分时电价下,模型预测控制策略节能显著,使生产成本大大降低,增加了发电厂的生产效益,具有良好的实际应用价值。
In order to improve the operation efficiency of belt conveyor for coal-fired power plant, an optimization approach is proposed. The mathematical model of the belt conveyor is built firstly, its optimal parameters are obtained by using the dynamic parameter analysis method based on the finite element model.Then the load shifting strategy is carried out with open loop optimal control. Finally, the model predictive control is used with feedback correction and rolling optimization because of the control error due to interference. The results show that the model predictive control strategy can save energy remarkably, reduce production cost greatly, increase production efficiency of power plant, and have good practical application value.
In order to improve the operation efficiency of belt conveyor for coal-fired power plant, an optimization approach is proposed. The mathematical model of the belt conveyor is built firstly, its optimal parameters are obtained by using the dynamic parameter analysis method based on the finite element model.Then the load shifting strategy is carried out with open loop optimal control. Finally, the model predictive control is used with feedback correction and rolling optimization because of the control error due to interference. The results show that the model predictive control strategy can save energy remarkably, reduce production cost greatly, increase production efficiency of power plant, and have good practical application value.
引文
[1]Xia X,Zhang J.Energy Efficiency and Control Systems from a POETPerspective[J].Control Methodologies and Technology for Energy Efficiency,2010,43(1):255-260.
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[6]李玉东,葛敬涛,易庚.矿用电机车无速度传感器控制变频驱动装置系统[J].控制工程,2016,10(9):1412-1417.Li Y D,Ge J T,Yi G.No Speed Sensor Control Variable Frequency Drive System of Mine Electric Locomotive[J].Control Engineering of China,2016,10(9):1412-1417.
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[15]刘思峰,杨英杰,吴利丰.灰色系统理论及其应用[M].北京:科学出版社,2014:20-26.Liu S F,Yang Y J,Wu L F.Grey System Theory and Its Application[M].Beijing:Science Press,2014:20-26.
[16]杨华龙,刘金霞,郑斌.灰色预测GM(1,1)模型的改进及应用[J].数学的实践与认识,2011,41(23):39-46.Yang H L,Liu J X,Zheng B.The Improvement and Application of Grey Prediction GM(1,1)model[J].Mathematics Practice and Understanding,2011,41(23):39-46.
[17]Zhang S,Xia X.Optimal Control of Operation Efficiency of Belt Conveyor Systems[J].Applied Energy,2011,87(6):1-4.
[18]刘继东,韩学山,韩伟吉.分时电价下用户响应行为的模型与算法[J].电网技术,2013,37(10):2973-2978.Liu J D,Han X S,Han W J.Model and Algorithm of Customer’s Responsive Behavior Under Time-of-Use Price[J].Power System Technology,2013,37(10):2973-2978.
[19]席裕庚.预测控制[M].北京:国防工业出版社,2013:4-16.Xi Y G.Predictive control[M].Beijing:National Defense Industry Press,2013:4-16.
[2]Luo J,Huang W,Zhang S.Energy Cost Optimal Operation of Belt Conveyors Using Model Predictive Control Methodology[J].Journal of Cleaner Production,2014,105(1):196-205.
[3]阴联民.变频带式输送机自动节能运行控制系统研究[D].西安:西安科技大学,2011:32-38.Yin L M.The Research on Control System of the Vfd Conveyor Concerning the Automatic Energy-saving Operation[D].Xian:Xian University of Science and Technology,2011:32-38.
[4]冯东升,张金辉.皮带机负载预测控制技术的研究及应用[J].电机与控制应用,2010,37(10):47-49.Feng D S,Zhang J H.Research and Application of Load Forecasting and Control Technology for Belt Conveyor[J].Motor and Control Application,2010,37(10):47-49.
[5]Jun Fu,Johannes M.M.Faust,Beno?t Chachuat Fu J,et al.Local Optimization of Dynamic Programs with Guaranteed Satisfaction of Path Constraints[J].Automatica,2015,62:184-192..
[6]李玉东,葛敬涛,易庚.矿用电机车无速度传感器控制变频驱动装置系统[J].控制工程,2016,10(9):1412-1417.Li Y D,Ge J T,Yi G.No Speed Sensor Control Variable Frequency Drive System of Mine Electric Locomotive[J].Control Engineering of China,2016,10(9):1412-1417.
[7]彭彦平,任庆昌,闫秀英.中央空调冷却水系统双机变频节能控制研究[J]控制工程,2015,22(6):1047-1052.Peng Y P,Ren Q C,Yan X Y.Research on Energy-Saving Control of the Cooling Water System in Central Air Conditioning System by Using Double Machine Frequency Conversion[J].Control Engineering of China,2015,22(6):1047-1052.
[8]李世卿,丁宝苍.基于动态矩阵控制的双层结构预测控制的整体解决方案[J].自动化学报,2015,41(11):1857-1866.Li S Q,Ding B C.An Overall Solution to Double-layered Model Predictive Control Based on Dynamic Matrix Control[J].Acta Automatica Sinica,2015,41(11):1857-1866.
[9]席裕庚,李德伟,林姝.模型预测控制-现状与挑战[J].自动化学报,2013,39(03):222-236.Xi Y G,Li D W,Lin S.Model Predictive Control:Current Status and Challenges of[J].Automation,2013,39(03):222-236.
[10]Xia X,Zhang J.Control Systems and Energy Efficiency from the POET Perspective[C].IFAC Conference on Control Methodologies and Technology for Energy Efficiency,2010:29-31.
[11]梁国宝.隧道连续皮带机设计及动态分析研究[D].成都:西南交通大学,2013:37-49.Liang G B.Design and Research on Dynamic Analysis of Tunnel Continuous Belt Conveyor[D].Chengdu:Southwest Jiao Tong University Master Degree Thesis,2013:37-49.
[12]王元元.带式输送机动力学分析模型若干问题的研究[D].山东:山东科技大学,2007:23-38.Wang Y Y.Research on Dynamical Characteristic Model from Several Aspects for Belt Conveyor[D].Shandong:Shandong University of Science and Technology,2007:23-38.
[13]任志玲,韩佳昊.基于MPC的煤矿井下排水系统节能控制策略研究[J].系统仿真学报,2015,27(12):3032-3036,3043.Ren Z L,Han J H.Energy Saving Control Research on Mine Drainage System Based on Model Predictive Control[J].MPCJournal of System Simulation,2015,27(12):3032-3036,3043.
[14]徐高强.山西省煤矿区矿井水涌水量预测模型研究[D].山西:太原理工大学,2008:41-67.Xu G Q.The Forecast Model of Mine Water Discharge’s Research About Coal Mining Area in Shanxi Province[D].Shanxi:Taiyuan University of Technology,2008:41-67.
[15]刘思峰,杨英杰,吴利丰.灰色系统理论及其应用[M].北京:科学出版社,2014:20-26.Liu S F,Yang Y J,Wu L F.Grey System Theory and Its Application[M].Beijing:Science Press,2014:20-26.
[16]杨华龙,刘金霞,郑斌.灰色预测GM(1,1)模型的改进及应用[J].数学的实践与认识,2011,41(23):39-46.Yang H L,Liu J X,Zheng B.The Improvement and Application of Grey Prediction GM(1,1)model[J].Mathematics Practice and Understanding,2011,41(23):39-46.
[17]Zhang S,Xia X.Optimal Control of Operation Efficiency of Belt Conveyor Systems[J].Applied Energy,2011,87(6):1-4.
[18]刘继东,韩学山,韩伟吉.分时电价下用户响应行为的模型与算法[J].电网技术,2013,37(10):2973-2978.Liu J D,Han X S,Han W J.Model and Algorithm of Customer’s Responsive Behavior Under Time-of-Use Price[J].Power System Technology,2013,37(10):2973-2978.
[19]席裕庚.预测控制[M].北京:国防工业出版社,2013:4-16.Xi Y G.Predictive control[M].Beijing:National Defense Industry Press,2013:4-16.