Multi model predictive control of a power plant heat exchanger network based on gap metric

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24220%2F12%3A%230002118" target="_blank" >RIV/46747885:24220/12:#0002118 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Multi model predictive control of a power plant heat exchanger network based on gap metric

Popis výsledku v původním jazyce

This paper is focused on centralized model predictive control of both superheated and reheated steam temperatures of a supercritical power plant with once through boiler. Steam superheating and reheating is performed by a network of several heat exchangers, spray attemperators and diverting valves. This network is strongly nonlinear and it cannot be controlled by a single linear controller. At the same time, tight temperature control is essential for plant efficiency and prevention of plant damage due to thermal stresses. This paper proposes a multi-model predictive control scheme based on linearized first principles models of the heat exchanger network. The selection of individual models is based on gap metric nonlinearity measure. The performance ofthis control system is evaluated in the wide range load following operation (from 50 to 100% of the nominal load). It is shown that there is a significant control performance improvement over classical control system based on gain schedul

Název v anglickém jazyce

Multi model predictive control of a power plant heat exchanger network based on gap metric

Popis výsledku anglicky

This paper is focused on centralized model predictive control of both superheated and reheated steam temperatures of a supercritical power plant with once through boiler. Steam superheating and reheating is performed by a network of several heat exchangers, spray attemperators and diverting valves. This network is strongly nonlinear and it cannot be controlled by a single linear controller. At the same time, tight temperature control is essential for plant efficiency and prevention of plant damage due to thermal stresses. This paper proposes a multi-model predictive control scheme based on linearized first principles models of the heat exchanger network. The selection of individual models is based on gap metric nonlinearity measure. The performance ofthis control system is evaluated in the wide range load following operation (from 50 to 100% of the nominal load). It is shown that there is a significant control performance improvement over classical control system based on gain schedul

Druh

D - Stať ve sborníku

CEP obor

BC - Teorie a systémy řízení

OECD FORD obor

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Projekt

<a href="/cs/project/TA02020109" target="_blank" >TA02020109: Prediktivní řídicí systém pro zlepšení stability a zvýšení účinnosti elektrárenských bloků</a><br>

Návaznosti

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

Rok uplatnění

2012

Kód důvěrnosti údajů

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

Název statě ve sborníku

2012 16th International Conference on System Theory, Control and Computing, ICSTCC 2012

ISBN

9786068348483

ISSN

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e-ISSN

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Počet stran výsledku

6

Strana od-do

1-6

Název nakladatele

Galati University Press/Institute of Electrical and Electronics Engineers ( IEEE )

Místo vydání

Galati

Místo konání akce

Sinaia

Datum konání akce

12. 10. 2012

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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