Apparatus and systems for power system protective relay control using reinforcement learning

A computer system comprising at least one processor and memory, wherein the computer system is programmed for determining a control architecture for a network of protective relays of a power distribution system by:

• receiving data specifying a topology of a plurality of relays in the network of protective relays;
• sequentially modelling each relay in the network of protective relays using a reinforcement learning algorithm, including modelling each relay as an agent configured to detect one or more local conditions on the power distribution system and configured to trip based on the one or more local conditions;
• and
• determining, based on the sequential modelling, one or more control parameters for each relay in the network of protective relays.

A method for integrating a plurality of reinforcement-learning (RL) based relays into a power distribution system, the method comprising, for a given RL relay:

• capturing voltage and current measurements from measurement equipment associated with the RL relay;
• storing the voltage and current measurements to form a time window of consecutive voltage and current measurements;
• and
• supplying the time window of consecutive voltage and current measurements to a trained network for the RL relay.