Reliability, Availability, and Maintainability Assessment-Based Sustainability-Informed Maintenance Optimization in Power Transmission Networks

Motahareh Sagharidooz, Hamzeh Soltanali (), José Torres Farinha, Hugo D. N. Raposo and José Edmundo de-Almeida-e-Pais
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Motahareh Sagharidooz: Department of Management, Faculty of Economics and Administrative Sciences, Ferdowsi University of Mashhad, Mashhad 9177948974, Iran
Hamzeh Soltanali: Department of Industrial Engineering, Imam Hossein University, Tehran 1698715861, Iran
José Torres Farinha: RCM2+ Research Centre for Asset Management and Systems Engineering, Polytechnic Institute of Coimbra, Coimbra Institute of Engineering, Rua Pedro Nunes—Quinta da Nora, 3030-199 Coimbra, Portugal
Hugo D. N. Raposo: RCM2+ Research Centre for Asset Management and Systems Engineering, Polytechnic Institute of Coimbra, Coimbra Institute of Engineering, Rua Pedro Nunes—Quinta da Nora, 3030-199 Coimbra, Portugal
José Edmundo de-Almeida-e-Pais: RCM2+ Research Centre for Asset Management and Systems Engineering, Polytechnic Institute of Coimbra, Coimbra Institute of Engineering, Rua Pedro Nunes—Quinta da Nora, 3030-199 Coimbra, Portugal

Sustainability, 2024, vol. 16, issue 15, 1-22

Abstract: Reliable and resilient power transmission networks serve as vital for sustainable development and uninterrupted electricity supply. Effective maintenance programs are necessary to comply with reliability and sustainability requirements in the power sector. To that end, RAM (reliability, availability, and maintainability) assessments can provide efficient maintenance services that minimize adverse consequences and increase productivity at the lowest possible cost. We employ a statistical framework to evaluate RAM principles, including data acquisition, homogenization, trend hypothesis validation, and parameter estimation. The RAM evaluation of power transmission networks identifies primary bottlenecks in subsystems based on failure and repair behavior trends, which should be prioritized. To find the optimal maintenance policies for each subsystem, we adapt a Multi-Attribute Utility Theory (MAUT) approach, taking costs, availability, and dependability into account. The results of this approach can help improve the operational performance and sustainability of power transmission networks.

Keywords: reliability; availability; maintainability; sustainability; maintenance policy optimization (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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