Modeling and optimizing maintenance schedule for energy systems subject to degradation

In recent years, with the increasing investment on distributed energy system (DES), maintenance management has played an important role in improving the system performance. This paper aims to integrate the conception of the multiple attribute value theory and imperfect maintenance into an improved sequential preventive maintenance (PM) model for the DES subject to degradation. A model-iteration algorithm using a multi-attribute model (MAM) is developed to optimize the maintenance schedule cycle by cycle. The optimal PM interval for each cycle is obtained through MAM, by maximizing the equipment availability and minimizing the maintenance cost simultaneously. A case study is investigated to show that this sequential PM model is much more significant than conventional PM models. Finally, the sensitivity of the proposed method is investigated.

► We integrate the multiple attribute value theory and imperfect maintenance into an improved PM model. ► A model-iteration algorithm using a multi-attribute model is developed. ► The improvement factors help to accurately describe the hazard rate recursion evolution of energy systems. ► The optimal PM interval is obtained by maximizing availability and minimizing cost simultaneously. ► This sequential PM model is much more significant than conventional PM models.