Abstract
Service life and design life estimates are quickly converging for many transmission and distribution assets. Replacement costs have escalated due to new constraints that were not considered in early days of developing the power grid. As a consequence, the maintenance funds must be optimized to maximize results of the life extension methods.
This may be achieved by modeling the margins between operating loads and the structure conditions to study the impact of the ranking criteria on population distributions. Ranking criteria is needed to understand levels of degradation which may require a host of actions from doing nothing up to structural repairs, Aligning the mitigation methods efficacy and cost with the ranking criteria then provides an understanding of the balance between risk and cost for the asset’s total life cycle.
This report provides an approach to understanding the significance of reject and ranking criteria and how they may become a barrier to good asset management or a path to improving system reliability and grid resiliency.