Adaptive hybrid predictive control for a combined cycle power plant optimization
dc.contributor.author | Saez, D. | |
dc.contributor.author | Zunigal, R. | |
dc.contributor.author | Cipriano, A. | |
dc.date.accessioned | 2024-01-10T12:37:24Z | |
dc.date.available | 2024-01-10T12:37:24Z | |
dc.date.issued | 2008 | |
dc.description.abstract | The design and development of an adaptive hybrid predictive controller for the optimization of a real combined cycle power plant (CCPP) are presented. The real plant is modeled as a hybrid system, i.e. logical conditions and dynamic behavior are used in one single modeling framework. Start modes, minimum up/down times and other logical features are represented using mixed integer equations, and dynamic behavior is represented using special linear models: adaptive fuzzy models. This approach allows the tackling of special non-linear characteristics, such as ambient temperature dependence on electrical power production (combined cycle) and gas exhaust temperature (gas turbine) properly to fit into a mixed integer dynamic (MLD) model. After defining the MLD model, an adaptive predictive control strategy is developed in order to economically optimize the operation of a real CCPP of the Central Interconnected System in Chile. The economic results obtained by simulation tests provide a 3% fuel consumption saving compared to conventional strategies at regulatory level. Copyright (c) 2007 John Wiley & Sons, Ltd. | |
dc.fechaingreso.objetodigital | 02-04-2024 | |
dc.format.extent | 23 páginas | |
dc.fuente.origen | WOS | |
dc.identifier.doi | 10.1002/acs.988 | |
dc.identifier.issn | 0890-6327 | |
dc.identifier.uri | https://doi.org/10.1002/acs.988 | |
dc.identifier.uri | https://repositorio.uc.cl/handle/11534/76840 | |
dc.identifier.wosid | WOS:000254685600007 | |
dc.information.autoruc | Ingeniería;Cipriano A;S/I;99102 | |
dc.issue.numero | 2 | |
dc.language.iso | en | |
dc.nota.acceso | contenido parcial | |
dc.pagina.final | 220 | |
dc.pagina.inicio | 198 | |
dc.publisher | JOHN WILEY & SONS LTD | |
dc.revista | INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING | |
dc.rights | acceso restringido | |
dc.subject | supervisory control | |
dc.subject | hybrid predictive control | |
dc.subject | economic optimization | |
dc.subject | combined cycle power plant | |
dc.subject | SYSTEMS | |
dc.subject.ods | 11 Sustainable Cities and Communities | |
dc.subject.odspa | 11 Ciudades y comunidades sostenibles | |
dc.title | Adaptive hybrid predictive control for a combined cycle power plant optimization | |
dc.type | artículo | |
dc.volumen | 22 | |
sipa.codpersvinculados | 99102 | |
sipa.index | WOS | |
sipa.trazabilidad | Carga SIPA;09-01-2024 |
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