Design of an active identification platform for critical risks in power systems based on multi-objective decision models

This paper designs an active identification platform for critical risks in power systems based on multi-objective decision models to improve the safety and stability of the power system. Based on the design of a multi-objective decision-making model, a framework for the active identification of critical risks in the power system was designed. This framework consists of a data source acquisition unit, a data conversion processing unit, and a data storage unit. After designing different units, an active identification algorithm for critical risks in the power system was designed to effectively identify potential risks. The performance and effectiveness of the platform were verified through experiments. The experimental results show that the platform can accurately identify key risks in the power system and provide corresponding warning and decision support, effectively improving the safety and stability of the power system.