An intelligent real-time decision support tool for power system restoration

Power system restoration after a blackout is an urgent and complicated task. In order to enhance the resilience and self-healing capabilities of a smart grid, an advanced decision tool is needed. This paper introduces a real-time decision support system for power grid restoration which can recognize the blackout scenario and generate the restoration scheme automatically. A local object optimization method and a leader-follower hierarchical coordination strategy are proposed to make restoration decisions in multiple temporal-spatial scales. This system can provide real-time data analysis, network modeling, intelligent decision service and rich functions of human-machine interaction and security check. A restoration simulation module is developed and a case library is built, so it can also be used for dispatcher training in off-line mode. The application in Shandong power grid of China verifies the practicality and reliability of this system.