Patent ID: 11900031
Assignee: STATE GRID CORPORATION OF CHINA
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 20:
21. A method for generating a load model having composite load components for an electric power system, the method comprising:
acquiring state information at a bus of the electric power system;
acquiring a training event record; and
generating the load model by sequentially executing steps of:
determining a final load component composition for a predetermined composite load model structure referencing to the state information and the training event record; and
determining a plurality of final load parameters corresponding to the final load component composition and the predetermined load model structure using a curve fitting process approximating a modeled curve based on the state information to a reference curve generated by the training event record,
wherein the determining the final load component composition comprises:
initializing a plurality of load component compositions;
optimizing the plurality of the initial load component compositions with a deep reinforcement learning (DRL) agent to generate a predetermined number of top load component compositions;
calculating quantile loss for each of the top load component compositions with a predefined quantile level; and
selecting one of the top load component compositions that has the lowest quantile loss as the final load component composition.