Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.9/2630
Título: Optimal maintenance scheduling of a gas engine power plant using generalized disjunctive programming
Autor: Castro, Pedro
Grossmann, Ignacio E.
Veldhuizen, Patrick
Esplin, Douglas
Palavras-chave: Mathematical modelling
Optimization
Mixed-integer linear programming
Planning
Data: 2014
Editora: Wiley
Citação: Castro, P.M.; Grossmann, I.E.; Veldhuizen, P.; Esplin, D. - Optimal maintenance scheduling of a gas engine power plant using generalized disjunctive programming. In: Aiche Journal, 2014, Vol. 60, nº 6, p. 2083-2097
Resumo: A new continuous-time model for long-term scheduling of a gas engine power plant with parallel units is presented. Gas engines are shut down according to a regular maintenance plan that limits the number of hours spent online. To minimize salary expenditure with skilled labor, a single maintenance team is considered which is unavailable during certain periods of time. Other challenging constraints involve constant minimum and variable maximum power demands. The objective is to maximize the revenue from electricity sales assuming seasonal variations in electricity pricing by reducing idle times and shutdowns in high-tariff periods. By first developing a generalized disjunctive programming model and then applying both big-M and hull reformulation techniques, we reduce the burden of finding the appropriate set of mixed-integer linear constraints. Through the solution of a real-life problem, we show that the proposed formulations are very efficient computationally, while gaining valuable insights about the system.
URI: http://hdl.handle.net/10400.9/2630
ISSN: 0001-1541
Versão do Editor: http://dx.doi.org/10.1002/aic.14412
Aparece nas colecções:UAER - Artigos em revistas internacionais

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