A Multivariable Controller For Economical Fossil Power Plant Operation

G Prasad, E Swidenbank, B W Hogg

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

To realize the most economical operation of the plant, requires the controller recognize the interaction between multiple inputs and the constraints imposed by the physical limits of the system. A model-based multivariable predictive controller with real-time constrained optimization has been designed and implemented. Artificial neural networks (ANN) modeling technique has been used for identifying global dynamic models of the plant variables. Results are given to demonstrate the superiority of the controller in controlling the main steam temperature and reheat steam temperature during rapid load changes.
Original languageEnglish
Title of host publicationUnknown Host Publication
PublisherIEEE Xplore
Pages832-835
Number of pages4
Publication statusPublished - Sep 1996
EventUniversities Power Engineering Conference 1996 - Iraklio, Greece.
Duration: 1 Sep 1996 → …

Conference

ConferenceUniversities Power Engineering Conference 1996
Period1/09/96 → …

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  • Cite this

    Prasad, G., Swidenbank, E., & Hogg, B. W. (1996). A Multivariable Controller For Economical Fossil Power Plant Operation. In Unknown Host Publication (pp. 832-835). IEEE Xplore.