Metric Mutation Anomaly Detection Method of the Power Grid Dispatching Automatic System Based on Machine Learning and Statistics

Abstract With the increase of scale, function and complexity power grid dispatching automatic system, difficulty system operation maintenance increases significantly. This paper presents a metric mutation anomaly detection method based on combination machine learning statistical algorithm. First, data is smoothed by algorithm, difference between value real calculated. Then, was used to detect ensemble method. The effectiveness accuracy verified test system. can quickly locate components assist personnel in making decisions.