Multiobjective Optimization of Maintenance Applied in Electric Power Distribution Systems

Abstract Power distribution utilities effort to ensure the quality of energy to their consumers and the reliability of their power distribution system. It is necessary that maintenance activities are planned with the aim of maintaining or improving reliability indicators in supply to consumers. In t...

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Bibliographic Details
Published in:Brazilian Archives of Biology and Technology Vol. 67
Main Authors: Luz, Thiago José da, Gapski, Anderson Luis, Unsihuay-Vila, Clodomiro
Format: Journal Article
Language:English
Published: Instituto de Tecnologia do Paraná (Tecpar) 2024
Subjects:
Continuity Indicators
Fuzzy Inference
Lichtenberg Algorithm
Multiobjective Programming
Power Distribution Systems
Reliability-Centered Maintenance
ISSN:1516-8913, 1678-4324
Online Access:Get full text
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Summary:Abstract Power distribution utilities effort to ensure the quality of energy to their consumers and the reliability of their power distribution system. It is necessary that maintenance activities are planned with the aim of maintaining or improving reliability indicators in supply to consumers. In this paper, a computational model based on integer nonlinear multiobjective programming is presented to improve the maintenance of equipment in the power distribution system. Since it is a reliability-centered approach, a probabilistic failure model is first used to obtain equipment reliability values at each time point through fuzzy inference. Three objective functions are optimized: i) minimizing maintenance cost, ii) minimizing failure frequency, and iii) maximizing equipment reliability. The optimization problem is also formed by three sets of constraints: i) individual and collective continuity indicators; ii) task execution time; and iii) maintenance limit for each type of equipment. Lichtenberg's algorithm is used to solve the model. A case study is performed for a feeder section consisting of twenty-eight distribution equipment. The results obtained using the Pareto constraints show scenarios that can help maintenance teams to make decisions and develop the preventive maintenance planning. Adding constraints on the duration and frequency of collective interruptions indicators improves the power quality of the distribution system; however, it requires an increase in investment by 36%.
ISSN:1516-8913
1678-4324
DOI:10.1590/1678-4324-2024230894