High Performance Adaptive Deep Reinforcement Learning (DRL) based Real Time Emergency Control to Enhance Power Grid Resilience in Stochastic Environments:

• Project team: PNNL, V&R Energy, Google and PacifiCorp
• Developing a DRL-based and analytical based hybrid emergency control method for transient stability preservation
• V&R Energy’s role: analytical approaches for generator tripping, load shedding and intentional islanding and incorporation of the hybrid approach into ROSE platform