Safe Reinforcement Learning for Emergency LoadShedding of Power Systems

Understand

The paradigm shift in the electric power grid necessitates a revisit of existing control methods to ensure the grid's security and resilience.

• In particular, the increased uncertainties and rapidly changing operational conditions in power systems have revealed outstanding issues in terms of either speed, adaptiveness, or scalability of the existing control methods for power systems.
• On the other hand, the availability of massive real-time data can provide a clearer picture of what is happening in the grid.
• Recently, deep reinforcement learning(RL) has been regarded and adopted as a promising approach leveraging massive data for fast and adaptive grid control.