Patent ID: 11907865
Assignee: HITACHI ENERGY LTD
Field: Computer technology (Electrical engineering)
Classification: CPC G  H  Y | IPC G

Claim 12:
13. A method of training an artificial intelligence (AI) module to determine a security-constrained optimal power flow (SC-OPF) of a power grid, the method comprising, by at least one processor executing at least one program element:
providing input data associated with a power grid scenario, the input data defining a security-constrained optimization problem;
generating a training data set, the training data set comprising a plurality of solutions of a SC-OPF problem associated with at least one given power grid scenario, the training data set comprising training input data and corresponding training output data, the training output data being the expected output when the corresponding input data is input; and
providing the training data set to the AI-module;
receiving output data from the AI-module resulting from the input of the training data set;
comparing the output data and the training output data corresponding to the training input data of the training data set; and
adjusting parameters of the AI-module based on the comparison.