Design of a Distributed Intelligent Distribution Grid Management System Oriented for Rapid Self-Healing
The purpose of this paper is to design a distributed intelligent distribution grid management system for rapid self-healing,and to construct a complete system architecture by using real-time monitoring,machine learning fault detection and location,deep reinforcement learning self-healing control and other technologies.A 10-day empirical study on a 10 kV distribution network in a suburb shows that the system can detect faults within 16.8 ms and complete self-healing within 178.3 ms,and the accuracy of fault location reaches 96.5%,which proves that the system can improve the power supply reliability and self-healing ability of the distribution grid.
distributed intelligent distribution gridrapid self-healingmachine learning
万方数据
维普
