Author | dc.contributor.author | Sáez, D. | |
Author | dc.contributor.author | Zúñiga, R. | es_CL |
Author | dc.contributor.author | Cipriano, A. | es_CL |
Admission date | dc.date.accessioned | 2010-01-18T13:19:14Z | |
Available date | dc.date.available | 2010-01-18T13:19:14Z | |
Publication date | dc.date.issued | 2008-03 | |
Cita de ítem | dc.identifier.citation | INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING, Volume: 22, Issue: 2, Pages: 198-220, 2008 | en_US |
Identifier | dc.identifier.issn | 0890-6327 | |
Identifier | dc.identifier.uri | https://repositorio.uchile.cl/handle/2250/125155 | |
Abstract | 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 q 2007 John Wiley & Sons, Ltd. | en_US |
Patrocinador | dc.description.sponsorship | The authors wish to thank FONDECYT for the financial support given to project #1061156 and Nehuenco power plant for their valuable contribution to this work. | en_US |
Lenguage | dc.language.iso | en | en_US |
Publisher | dc.publisher | JOHN WILEY & SONS LTD | en_US |
Keywords | dc.subject | supervisory control | en_US |
Título | dc.title | Adaptive hybrid predictive control for a combined cycle power plant optimization | en_US |
Document type | dc.type | Artículo de revista | |