In order to solve the maintenance problem of multiple parallel equipment in power plant,a predictive maintenance scheduling method is proposed based on fault state.Firstly,combined with the influence analysis of the current status of equipment and the deterioration characteristics of fault itself,a time-varying function is improved to predict the state deterioration of fault.Then,the maintenance priority is divided based on fault state,considering the constraints of maintenance resources,power supply continuity and power output,the scheduling model is constructed with the objective of minimizing the total maintenance cost.Considering the continuity of maintenance time,a two-stage algorithm is proposed to solve the model,and this problem is transformed into a combinatorial optimization problem of time period by the division of maintenance time windows,and then the optimal maintenance scheme is selected by combining the full enumeration method and the principle of economy.Finally,taking the maintenance of multiple transformers in Yunnan power grid for example,the effectiveness of the proposed method is tested and analyzed.Compared with the traditional maintenance mode,this method has obvious advantages in reducing maintenance cost and improving system stability.
Parallel Multiple EquipmentPredictive Maintenance SchedulingFault State PredictionMaintenance Time Window
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