TY - JOUR
T1 - Reliability, Availability, and Maintainability Assessment-Based Sustainability-Informed Maintenance Optimization in Power Transmission Networks
AU - Sagharidooz, Motahareh
AU - Soltanali, Hamzeh
AU - Farinha, José Torres
AU - Raposo, Hugo D.N.
AU - de-Almeida-e-Pais, José Edmundo
N1 - Publisher Copyright:
© 2024 by the authors.
PY - 2024/7/29
Y1 - 2024/7/29
N2 - 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.
AB - 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.
KW - availability
KW - maintainability
KW - maintenance policy optimization
KW - reliability
KW - sustainability
UR - http://www.scopus.com/inward/record.url?scp=85200777268&partnerID=8YFLogxK
U2 - 10.3390/su16156489
DO - 10.3390/su16156489
M3 - Article
AN - SCOPUS:85200777268
SN - 2071-1050
VL - 16
JO - Sustainability (Switzerland)
JF - Sustainability (Switzerland)
IS - 15
M1 - 6489
ER -