A Coordination Control Method for Turbine-Boiler Systems Based on Supervisory Predictive Control with Varying Horizon[J]. 2016, 50(12): 92-98.
DOI:
A Coordination Control Method for Turbine-Boiler Systems Based on Supervisory Predictive Control with Varying Horizon[J]. 2016, 50(12): 92-98.DOI: 10.7652/xjtuxb201612015.
A Coordination Control Method for Turbine-Boiler Systems Based on Supervisory Predictive Control with Varying Horizon
A varying horizon supervisory predictive control algorithm(VDMC)is proposed to deal with the problem that the traditional PID controller is insufficient in coordination control systems(CCS)
leading to lower economic benefit of power units or even affecting system safety during load changing. Firstly
a time-varying parameter model with fluctuation of coal quality is established through the analysis of mechanism characteristics of supercritical boilers. Then
a multivariable constrained supervisory predictive control algorithm is then used to solve the balance problem of centralization and decentralization in the control frame by taking constraint conditions determined by the actual situation and the disturbance of power grid frequency into account. Finally
the overall performance of the coordination control for turbine-boiler system is improved based on the idea of varying horizon. Simulation results and comparisons with the traditional PID and the fixed horizon predictive control algorithm show that the mean value of relative errors of the proposed method is reduced by about 20% during the load changing period. The method enhances the quality of turbine-boiler coordination control and makes the system more stable.
关键词
Keywords
references
ÅSTRÖM K J, BELL R D. Drum boiler dynamics [J]. Automatica, 2000, 36(3): 363-378.
YAN Shu, ZENG Deliang, LIU Jizhen, et al. A simplified non-linear model of a once-through boiler-turbine unit and its application [J]. Proceedings of the CSEE, 2012, 32(11): 126-134.
MOON U C, LEE K Y. Step-response model development for dynamic matrix control of a drum-type boiler-turbine system [J]. IEEE Transactions on Energy Conversion, 2009, 24(2): 423-430.
CHEN Xing, LI Donghai. Simulation analysis on PID control of distributed parameter model in thermal process [J]. Journal of System Simulation, 2008, 20(9): 2382-2386.
CHAN K H, DOZAL-MEJORADA E J, CHENG X, et al. Predictive control with adaptive model maintenance: Application to power plants [J]. Computer and Chemical Engineering, 2014, 70: 91-103.
WANG Guoliang, YAN Weiwu, CHEN Shihe, et al. Multivariable constrained predictive control of 1 000 MW ultra supercritical once-through boiler-turbine system [J]. Control Theory Application, 2012, 29(12): 1573-1578.
YE Qing, ZHU Yongqiang, LI Hongxian. Model parameter conversion between power system software based on IGA [J]. Power System Protection and Control, 2015, 43(9): 95-100.
GHEZELAYAGH H, LEE K Y. Application of genetic algorithm in extraction of fuzzy rules for a boiler system identifier [C]∥Proceedings of the IEEE Power Engineering Society Transmission and Distribution Conference. Piscataway, NJ, USA: IEEE, 2001: 1203-1208.
PICHLER M F, LERCH W, HEINZ A, et al. A novel linear predictive control approach for auxiliary energy supply to a solar thermal combistorage [J]. Solar Energy, 2014, 101: 203-219.
ZHOU Tao, WEI Feng, ZHANG Xiaohui. Strategy of centralized optimization and decentralized control for two-layered predictive control in large-scale industrial systems [J]. Acta Automatica Sinica, 2013, 39(8): 1366-1373.
EDLUND K, BENDTSEN J D, JØRGENSEN J B. Hierarchical model-based predictive control of a power plant portfolio [J]. Control Engineering Practice, 2011, 19(10): 1126-1136.
YU Yang, XU Jun, LUO Xionglin. Constraints boundary effect in model predictive control and corresponding solutions [J]. Acta Automatica Sinica, 2014, 40(9): 1922-1932.
HE Defeng, SONG Xiulan, HUANG Hua. Stabilizing constrained model predictive control with prioritized multi-objectives [J]. Control and Decision, 2013, 28(12): 1831-1836.
SHIROEI M, RANJBAR A M. Supervisory predictive control of power system load frequency control [J]. International Journal of Electrical Power and Energy Systems, 2014, 61: 70-80.
WU Xiao, SHEN Jiong, LI Yiguo, et al. Hierarchical optimization of boiler-turbine unit using fuzzy stable model predictive control [J]. Control Engineering Practice, 2014, 30(9): 112-123.
MCLARTY D, CIVIT-SABATE C, BROUWER J, et al. Micro-grid energy dispatch optimization and predictive control algorithms: a UC Irvine case study [J]. International Journal of Electrical Power and Energy Systems, 2015, 65: 179-190.
LIAN J, ZHANG K. Exponential stability for switched Cohen-Grossberg neural networks with average dwell time [J]. Nonlinear Dynamics, 2011, 63(3): 331-343.
YANG Tingting, ZENG Deliang, WANG Wei. Real-time coal quality correction method for large coal-fired power unit [J]. Power System Engineering, 2010, 26(5): 7-10.