A MILP model for generation maintenance scheduling coordinated with hydrothermal dispatch

In some real power systems in Latin America, such as those in Brazil, Colombia and Ecuador, the final decision about when to carry out the preventive maintenance is made by the ISO (integrated system operator), in a centralized way. In such a scenario, an optimization model coupling generation maint...

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Bibliographic Details
Published in:Energy systems (Berlin. Periodical) 2020-11, Vol.11 (4), p.839-857
Main Authors: Martínez, María Victoria Ramírez, Zuluaga, Antonio Hernando Escobar, Guimarães, Frederico Gadelha
Format: Article
Language:English
Subjects:
Economics and Management
Electric power generation
Energy
Energy Policy
Energy Systems
Hydrothermal systems
Inflow
Integer programming
Linear programming
Maintenance management
Mathematical analysis
Mathematical models
Mixed integer
Operations Research/Decision Theory
Optimization
Original Paper
Preventive maintenance
Schedules
Scheduling
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Summary:In some real power systems in Latin America, such as those in Brazil, Colombia and Ecuador, the final decision about when to carry out the preventive maintenance is made by the ISO (integrated system operator), in a centralized way. In such a scenario, an optimization model coupling generation maintenance scheduling (GMS) and hydrothermal dispatch (HTD) might lead to lower operation costs from the ISO’s perspective, leading to an optimal solution that might differ from the combined base maintenance schedule (BMS) proposed by the power generation companies. In this paper we develop a mathematical model coordinating the GMS with middle term HTD from the point of view of the ISO. The mathematical model proposed is a mixed integer linear programming (MILP) type that approaches the uncertainty in water inflows through multiple scenarios. The test system emulates a real scale hydrothermal system. The results obtained by the proposed model show operation cost reduction ranging from 5% to as much as 20%, when compared with the BMS proposed by the individual companies.
ISSN:1868-3967
1868-3975
DOI:10.1007/s12667-019-00342-2