Power Grid Fault Prediction System Collaborates with Power Supply Guarantee Command Platform for Smart Grid

Abstract The safe operation of power system is a pretty important part for the whole society and it influencing everyone’s daily life. As biggest company, State Grid Corporation China has to ensure normal grid. However, can be affected by several issues such as all kinds extreme weather, aging equipment, with rapid development national economy industry, electricity loads are becoming complicated diversified. Due reasons above, pressure on grid increasing significantly. In order guarantee safety system, we propose new including fault predicting aftertreatment part. For part, machine learning technologies used especially Hawkes process model, predict when what kind may happen, which failures prevented effectively. supply command platform established that send abnormal information headquarters at very beginning then our will search optimal maintainer intelligently solve problem immediately.