Decision-making Model of Condition-based Maintenance for Power Grid with Equipment On-line Monitoring

The maturing on-line monitoring technology greatly improves the observation frequency of equipment state. In this context, a more flexible decision-making model of condition-based maintenance for the power grid is needed to adapt to the high frequent and observable state changes of equipment. At present, the existing decision-making models of condition-based maintenance optimize the system level maintenance plan mostly based on the current equipment state, where the response strategy to the new state information within the planning period is not considered. In this way, it is impossible to use the available state information in the planning period, which results in the limitation of maintenance scheduling efficiency. Therefore, this paper proposes a decision-making model of condition-based maintenance for the power grid with equipment on-line monitoring. The specific implementation method is to add the maintenance threshold to the existing model. Once the equipment state exceeds the threshold before the maintenance plan, the original plan will be executed ahead of schedule to prevent failure. Meanwhile, the maintenance threshold is applied to the non-maintenance equipment to cope with the possible non-maintenance/maintenance category conversion. Thus, a complete condition-based maintenance strategy for the power grid is formed. The optimization model is further established to jointly optimize the maintenance schedule and maintenance threshold which takes the total risk of power grid operation as the goal. Finally, the example analysis shows that the method is feasible and effective, and has certain engineering value for condition-based maintenance of power grid equipment. © 2020 Automation of Electric Power Systems Press.