System and method for energy grid management with centralized intelligence and dynamic edge configuration

A system for energy grid management, the system comprising:

• an energy grid optimization computer comprising a processor, a memory, and a plurality of programming instructions, the plurality of programming instructions when executed by the processor cause the processor to:
• receive operational data from a plurality of edge units distributed throughout an energy distribution network;
• continuously monitor the received operational data to detect trigger events, wherein the trigger events comprise at least one of renewable generation fluctuations exceeding a predetermined threshold, predicted grid congestion, fault conditions requiring protection scheme adjustments, connection or disconnection of generation or load assets, or forecasted weather events affecting line capacity or renewable output;
• responsive to detecting a trigger event,
• perform system-wide analysis to identify affected edge units requiring configuration updates;
• calculate updated parameters for the identified affected edge units to account for variable fault current contributions from renewable sources, wherein the updated parameters account for at least one of:
• variable fault current contributions from renewable sources, voltage regulation requirements, power flow optimization, load balancing needs, or protection coordination adjustments;
• generate configuration packages for each of the identified affected edge units in a lightweight data format, wherein each configuration package is tailored to a specific edge unit and comprises parameters specific to that edge unit's supervised assets, protection zones, and operational requirements;
• transmit respective configuration packages to the affected edge units through a communication network, wherein each of the affected edge unit receives, validates, and activates the respective configuration package to enable autonomous execution of protection and control operations while streaming filtered operational data to the energy grid optimization computer.