dc.creatorSerralunga, Fernán J.
dc.creatorAguirre, Pio A.
dc.creatorMussati, Miguel C.
dc.date2014-09
dc.date2014
dc.date2014-10-28T14:01:28Z
dc.identifierhttp://sedici.unlp.edu.ar/handle/10915/41985
dc.identifierhttp://43jaiio.sadio.org.ar/proceedings/SII/10_Serralunga%20et%20al..pdf
dc.identifierissn:2313-9102
dc.descriptionThe 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.
dc.descriptionSociedad Argentina de Informática e Investigación Operativa (SADIO)
dc.formatapplication/pdf
dc.format118-129
dc.languageen
dc.rightshttp://creativecommons.org/licenses/by/3.0/
dc.rightsCreative Commons Attribution 3.0 Unported (CC BY 3.0)
dc.subjectCiencias Informáticas
dc.subjectreal-time optimization
dc.subjectscheduling optimization
dc.subjectcombined heat and power systems
dc.subjectenergy optimization
dc.subjectReal time
dc.subjectScheduling
dc.titleA novel framework for integrating real-time optimization and optimal scheduling : Application to heat and power systems
dc.typeObjeto de conferencia
dc.typeObjeto de conferencia


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