Transformer Fleet Optimal Maintenance with Risk Considerations

This paper aims at proposing an optimization model for high voltage transformers' maintenance scheduling to minimize operational cost and risk. The focus of the paper is on the transformer fleet management, and not on a single transformer maintenance procedure or the evaluation of a single tran...

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Bibliographic Details
Published in:Electric power components and systems 2019-10, Vol.47 (16-17), p.1551-1561
Main Authors: Alves da Silva, Alexandre P., Ducharme, Christian, Ferreira, Vitor H.
Format: Article
Language:English
Subjects:
asset performance management
Cost analysis
Decision making
dissolved gas analysis
Dissolved gases
Fleet management
Gas analysis
Integer programming
Linear programming
Maintenance costs
Maintenance management
maintenance planning
maintenance scheduling
mixed-integer linear programming
Operating costs
Optimization
power transformers
reliability
reliability centered maintenance
Risk
risk analysis
Robustness (mathematics)
Scheduling
Voltage transformers
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Summary:This paper aims at proposing an optimization model for high voltage transformers' maintenance scheduling to minimize operational cost and risk. The focus of the paper is on the transformer fleet management, and not on a single transformer maintenance procedure or the evaluation of a single transformer failure risk. The proposed methodology takes as inputs the importance (e.g., based on the expected energy not supplied) and failure risk of each transformer (e.g., based on on-line Dissolved Gas Analysis), and the maintenance cost for each transformer. It also considers the main practical constraints in field interventions. As output, the proposed methodology provides the best timing for the maintenance of each transformer from the fleet of interest. The problem has been modeled as mixed-integer linear programming. Eleven months of real data from the Brazilian transmission system are used for setting up the recent history of outages. The following year data are employed to test the effectiveness of the optimization model. The output of the proposed fleet maintenance scheduling tool is the optimum viable intervention calendar for a power transformer fleet within a 52-week horizon. This proposal represents an innovative and robust solution, which can support the operational planning experts' decision-making process.
ISSN:1532-5008
1532-5016
DOI:10.1080/15325008.2019.1661546