Please use this identifier to cite or link to this item: http://hdl.handle.net/11328/4484
Title: Mixed-integer linear programming based maintenance scheduling of generating units
Authors: Nezhad, Ali Esmaeel
Nardelli, Pedro H. J.
Ghanavati, Farideh
Sahoo, Subham
Osório, Gerardo J.
Keywords: Maintenance scheduling
Mixed-integer linear programming
Market Clearing price
Historical data
Power generating units
Issue Date: 10-Aug-2022
Publisher: IEEE
Citation: Nezhad, A. E., Nardelli, P. H. J., Ghanavati, F., Sahoo, S., & Osório, G. J. (2022). Mixed-integer linear programming based maintenance scheduling of generating units. In 2022 IEEE International Conference on Environment and Electrical Engineering and 2022 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe), Prague, Czech Republic, 28th June - 01th July 2022 (pp. 1-5). https://doi.org/10.1109/EEEIC/ICPSEurope54979.2022.9854783. Repositório Institucional UPT. http://hdl.handle.net/11328/4484
Abstract: This work presents a mixed-integer linear programming model for the maintenance scheduling of generating units in the power system. The proposed model is investigated for weekly scheduling for one year addressing the crew availability constraint. The maintenance scheduling problem is modeled as an optimization problem to determine the optimal timing for handling the technical constraints of the power generation sector. In addition, the technical constraints for optimal scheduling of the tasks, like sequential tasks and rest time of the crews have been addressed in the scheduling management framework. The weekly peak power and spinning reserve have been considered in line with the economic issues for power generation in the whole system. The historical market clearing price (MCP) and mid-term load forecasting have been considered in the developed model.
URI: http://hdl.handle.net/11328/4484
ISBN: 978-1-6654-8537-1
Appears in Collections:REMIT - Publicações em Livros de Atas Internacionais / Papers in International Proceedings

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