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RESEARCH PAPERS: Gas Turbines: Controls and Diagnostics

Model Predictive Control of a Combined Heat and Power Plant Using Local Linear Models

[+] Author and Article Information
J. F. Kikstra

Delft University of Technology, Faculty of Mechanical Eng., P. O. Box 5037, 2600 GA Delft, The Netherlands

B. Roffel

University of Twente, Faculty of Chemical Eng., P. O. Box 217, 7500 AE Enschede, The Netherlands

P. Schoen

Stork Engineers & Contractors, Radarweg 60, 1043 NT Amsterdam, The Netherlands

J. Eng. Gas Turbines Power 120(4), 689-693 (Oct 01, 1998) (5 pages) doi:10.1115/1.2818455 History: Received July 01, 1997; Online November 19, 2007

Abstract

Model predictive control has been applied to control of a combined heat and power plant. One of the main features of this plant is that it exhibits nonlinear process behavior due to large throughput swings. In this application, the operating window of the plant has been divided into a number of smaller windows in which the nonlinear process behavior has been approximated by linear behavior. For each operating window, linear step weight models were developed from a detailed nonlinear first principles model, and the model prediction is calculated based on interpolation between these linear models. The model output at each operating point can then subsequently be calculated from four basic linear models, and the required control action can subsequently be calculated with the standard model predicative control approach using quadratic programming.

Copyright © 1998 by The American Society of Mechanical Engineers
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