DocumentCode :
2887976
Title :
Unit Load Control System Based on Multivariable Feed-Forward and Feedback GPC
Author :
Guo, Peng
Author_Institution :
Dept. of Autom., North China Electr. Power Univ., Beijing
fYear :
2006
fDate :
13-16 Aug. 2006
Firstpage :
860
Lastpage :
864
Abstract :
Unit load system of thermal power plant is a multivariable system with strong coupling. Its performance has great impact on the safety and economy of the unit. In this paper, multivariable feed-forward and feedback GPC (generalized predictive control) is introduced into the control of unit load system. The coupling between the power loop and pressure loop is treated as knowable exterior disturbance and considered during the designing process of GPC controllers. With structure analysis, the new controller is equivalent to feed-forward and feedback control system. But the new GPC controller has the merits of rolling optimization and without tuning parameters. Simulation of 125 MW unit load system proved that the new method could meet the requirements of quick load response ability and maintaining the stability of steam pressure. The robustness of the new method is also satisfactory
Keywords :
feedback; feedforward; load regulation; multivariable control systems; optimisation; power generation control; predictive control; robust control; thermal power stations; coupling; feed-forward control; feedback control; generalized predictive control; multivariable control system; robust control; rolling optimization; stability; steam pressure; thermal power plant; unit load control system; Control systems; Feedback; Feedforward systems; Load flow control; MIMO; Power generation; Predictive control; Process design; Safety; Thermal loading; Coupling; Multivariable feed-forward and feedback GPC; Unit load system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2006 International Conference on
Conference_Location :
Dalian, China
Print_ISBN :
1-4244-0061-9
Type :
conf
DOI :
10.1109/ICMLC.2006.258486
Filename :
4028183
Link To Document :
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