Abstract
This work report an industrial application of model predictive control (MPC) to a 600 MW coal fired electrical power plant. The coordinated control system (CCS) is the most important part of the project. Dynamic models are obtained using multivariable closed-loop identification. In MPC control, plant nonlinearity caused by load changes is treated using simple LPV model. Initial tests to the power plant show that MPC technology can achieve much more stable operation of the power plant, reduction of coal consumption by more than 1%.
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