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Model predictive control of power plant superheater - comparison of multi model and nonlinear approaches

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24220%2F13%3A%230002464" target="_blank" >RIV/46747885:24220/13:#0002464 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Model predictive control of power plant superheater - comparison of multi model and nonlinear approaches

  • Original language description

    Model predictive control of a three stage power plant superheater is investigated in this paper. This power plant subsystem consists of three heat exchangers and three attemperator sprays. Its dynamics is nonlinear and significantly load dependent. In the paper, the responses to large load demand changes (between 50 and 100% of boiler rated power) typical of today's deregulated market conditions are considered. The ability of the predictive control system based on switched linear models and full nonlinear model to keep the steam temperature constant during such large transients is evaluated and the relative merits of the nonlinear vs. multi model approach are compared.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JB - Sensors, detecting elements, measurement and regulation

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/TA02020109" target="_blank" >TA02020109: Predictive Control System for Stability Improvement and Higher Efficiency of Power Plants</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2013

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    18th International Conference on Methods and Models in Automation and Robotics (MMAR)

  • ISBN

    978-1-4673-5506-3

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    311-316

  • Publisher name

    IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA

  • Place of publication

    NEW YORK

  • Event location

    Miedzyzdroje, POLAND

  • Event date

    Jan 1, 2013

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000331872400054