A Correction Method of Abnormal Parameters for Distribution System with Distributed Generation Based on Reliability Inverse Problem Theory

Because the reliability data statistics work is complex, dynamic, and vulnerable to human factors. There may be some errors or missing in the reliability parameters of each component in the distribution system with distributed generations. It will lead to wrong evaluation results, which may mislead the planning, transformation and other decisions of the distribution system, and even affect the safe and reliable operation of the future planning system. Therefore, this paper studies the anomaly detection and correction method of component reliability parameters. Firstly, the models of component failure rate and repair rate are established respectively. Then, FCM (Fuzzy C-means) method is used to detect outliers in the failure rate or repair rate collected by a component at each moment, based on its model. Next, after eliminating the abnormal parameters detected above, the values of these parameters are calculated inversely through establishing the optimization model by using the known system reliability indexes, realizing the correction of abnormal parameters. Finally, a distribution system for RBTS Bus 6 is introduced as standard case to demonstrate the accuracy of the proposed method.