Power Grid Auxiliary Control System Based on Big Data Application and Artificial Intelligence Decision

This paper introduces artificial intelligence technology for the real-time dispatching business of the power grid based on big data applications and artificial intelligence thinking and decision-making. With security and error prevention as the criterion, automation and intelligence business system is builded. The system can assist control personnel to carry out daily business work. The system achieves the goals of reducing the load rate of regulatory personnel and improving the safety and convenience of power grid operations. It has the capabilities of safety and error prevention, and active power grid abnormal auxiliary decision-making based on expert library. Assisted driving and automatic driving is realized, which have the ability of "high participation, command". The system expand the knowledge base using machine learning. The system can proactively analyze operation events for auxiliary decision-making or autonomous disposal and improve dispatching business level and power grid security.