A novel framework for integrating real-time optimization and optimal scheduling : Application to heat and power systems
The optimization of heat and power systems operation is a complex task that involves continuous and discrete variables, operating and environmental constraints, uncertain prices and demands and transition constraints for startups or shutdowns. This work proposes a novel methodology for integrating s...
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Formato: | Objeto de conferencia |
Lenguaje: | Inglés |
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2014
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Acceso en línea: | http://sedici.unlp.edu.ar/handle/10915/41985 http://43jaiio.sadio.org.ar/proceedings/SII/10_Serralunga%20et%20al..pdf |
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I19-R120-10915-41985 |
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institution |
Universidad Nacional de La Plata |
institution_str |
I-19 |
repository_str |
R-120 |
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SEDICI (UNLP) |
language |
Inglés |
topic |
Ciencias Informáticas real-time optimization scheduling optimization combined heat and power systems energy optimization Real time Scheduling |
spellingShingle |
Ciencias Informáticas real-time optimization scheduling optimization combined heat and power systems energy optimization Real time Scheduling Serralunga, Fernán J. Aguirre, Pio A. Mussati, Miguel C. A novel framework for integrating real-time optimization and optimal scheduling : Application to heat and power systems |
topic_facet |
Ciencias Informáticas real-time optimization scheduling optimization combined heat and power systems energy optimization Real time Scheduling |
description |
The optimization of heat and power systems operation is a complex task that involves continuous and discrete variables, operating and environmental constraints, uncertain prices and demands and transition constraints for startups or shutdowns. This work proposes a novel methodology for integrating scheduling optimization and real-time optimization (RTO) in order to face and solve such optimization problem. In a first stage, an offline optimization finds a scheduling for the whole horizon under study, which sets the startups and shutdowns of pieces of equipment with long transition times. A second stage solves a multiperiod RTO, which corrects the forecasts and adapts the model before optimiz-ing the process. Although the proposed methodology is illustrated through a case study consisting in a heat and power system, it can be generalized to other systems and processes. The obtained results show significant improvements in comparison with applying the results of a single offline scheduling optimization. |
format |
Objeto de conferencia Objeto de conferencia |
author |
Serralunga, Fernán J. Aguirre, Pio A. Mussati, Miguel C. |
author_facet |
Serralunga, Fernán J. Aguirre, Pio A. Mussati, Miguel C. |
author_sort |
Serralunga, Fernán J. |
title |
A novel framework for integrating real-time optimization and optimal scheduling : Application to heat and power systems |
title_short |
A novel framework for integrating real-time optimization and optimal scheduling : Application to heat and power systems |
title_full |
A novel framework for integrating real-time optimization and optimal scheduling : Application to heat and power systems |
title_fullStr |
A novel framework for integrating real-time optimization and optimal scheduling : Application to heat and power systems |
title_full_unstemmed |
A novel framework for integrating real-time optimization and optimal scheduling : Application to heat and power systems |
title_sort |
novel framework for integrating real-time optimization and optimal scheduling : application to heat and power systems |
publishDate |
2014 |
url |
http://sedici.unlp.edu.ar/handle/10915/41985 http://43jaiio.sadio.org.ar/proceedings/SII/10_Serralunga%20et%20al..pdf |
work_keys_str_mv |
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bdutipo_str |
Repositorios |
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