Method and system for enhancing real-time grid security of power system

A system for enhancing real-time grid security of a power system, the system comprising:

• a processor, and
• a memory coupled to the processor, wherein the memory comprises instructions which, when executed by the processor, configures the processor to:
• receive real-time data associated with the power system;
• input the real-time data associated with the power system to a trained ML model, wherein the trained ML model is generated based on archived historical data stored in an archival repository;
• predict using the trained ML model a list of contingencies with a non-zero contingency performance index score (Lp) for the real-time data associated with the power system;
• determine an augmented contingency list comprising a user defined contingency list (Lu) and the predicted list of contingencies with the non-zero CPI score (Lp);
• and
• perform a real-time predictive contingency analysis on the power system based on the augmented contingency list.

A computer program product, comprising:

• a non-transitory computer readable hardware storage device having computer readable program code stored therein which, when executed by a processor, cause the processor to carry out a method for enhancing real-time grid security of a power system, the method comprising:
• receiving, by a processor, real-time data associated with the power system;
• inputting, by the processor, the real-time data associated with the power system to a trained ML model, wherein the trained ML model is generated based on archived historical data stored in an archival repository;
• predicting, by the processor, using the trained ML model a list of contingencies with a non-zero contingency performance index score (Lp) for the real-time data associated with the power system;
• determining, by the processor, an augmented contingency list comprising a user defined contingency list (Lu) and the predicted list of contingencies with the non-zero CPI score (Lp);
• and
• performing, by the processor, a real-time predictive contingency analysis on the power system based on the augmented contingency list.