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| Load Process Control and Optimization of Supercritical Power Unit |
| JIN Xiao-Ming-1, YANG Ma-Ying-2, YANG Di-1 |
| (1. Institute of Cyber System and Control, Zhejiang University, Hangzhou 310027, China; 2. College of Information Engineering, Zhejiang University of Technology, Hangzhou 310014, China) |
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Abstract According to multivariable coupling and nonlinearity of supercritical power unit, a generalized predictive control (GPC) embedded in coal consumption minimization was presented. Linear programming (LP) and goal programming (GP) was employed to calculate local steady state target respectively. The simulation results demonstrate that, in the case of no need for a target coordination, GP+GPC and LP+GPC show the same performance for both decreasing coal consumption while realizing basic control target and show some robust while model mismatch compared to only GPC. When a target coordination is required, the dynamic control and local economic steady state optimization could be coordinated based on GP+GPC.
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Received: 30 June 2012
Published: 29 December 2012
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