Collaborative resilient grid response framework considering der uncertainties and dynamics

A non-transitory computer readable medium, storing instructions for executing a process for distribution grid service restoration in response to a disruptive event, the instructions comprising:

• reducing a feeder system model by node cell segmentation on feeder system according to system topology information and system operation characteristics to generate a node cell segmented distribution grid;
• constructing observational data from systemwide status information aggregated from nodes identified from the node cell segmented distribution grid to meet a reinforcement learning (RL) policy network input requirement;
• training an RL policy framework to generate control actions for controllable components of the system;
• executing the RL policy framework to generate control actions for controllable nodes in the node cell segmented distribution grid;
• and
• transmitting the control actions to controllable components in the distribution grid to restore grid service by energizing system components and customer loads.

An apparatus for distribution grid service restoration in response to a disruptive event, the apparatus comprising:

• a processor, configured to:
• reduce a feeder system model by node cell segmentation on feeder system according to system topology information and system operation characteristics to generate a node cell segmented distribution grid;
• construct observational data from systemwide status information aggregated from nodes identified from the node cell segmented distribution grid to meet a reinforcement learning (RL) policy network input requirement;
• train an RL policy framework to generate control actions for controllable components of the system;
• execute the RL policy framework to generate control actions for controllable nodes in the node cell segmented distribution grid;
• and
• transmit the control actions to controllable components in the distribution grid to restore grid service by energizing system components and customer loads.