Real-Time Power Electronics Stress Testing for Grid Failure Modeling

The patent creates a virtual copy of the power grid environment through digital twins and simulation platforms. This virtual replica replicates real-world power grid dynamics, allowing failure analysis under various operating conditions without physical testing. The digital twin copies the power grid's behavior, enabling accurate failure model development while maintaining computational simplicity.

The patent introduces an intermediary simulation platform that bridges the gap between theoretical failure analysis and real-world power grid conditions. This intermediary system processes real-time data from power grids, generates stress information, and collects responses to create accurate failure models. The intermediary layer translates complex real-world conditions into manageable simulation parameters.

The patent implements dynamic simulation that adapts to varying operating conditions in real-time. The system continuously adjusts simulation parameters based on real-time power grid data, enabling the failure analysis to respond to changing conditions. This dynamic approach allows the same platform to accurately model failures under diverse operating scenarios without requiring separate static analyses for each condition.

The patent performs preliminary actions by pre-processing power grid data and pre-configuring simulation scenarios. Real-time data is collected and processed in advance to create ready-to-execute stress information. This preliminary preparation reduces the computational burden during actual failure analysis, as the system only needs to process pre-generated stress information and collect responses rather than performing complete analyses in real-time.

The patent implements continuous data collection and processing operations that run alongside power grid operations. The system continuously monitors power grid conditions, collects real-time data, and processes it to update failure models and operational lifespan predictions. This continuous action ensures that the reliability predictions are always based on the most current information without requiring periodic interruptions for batch processing.

The patent incorporates feedback mechanisms where collected response data from power grid hardware is fed back into the simulation system to refine failure models. The feedback loop continuously improves the accuracy of operational lifespan predictions by learning from actual hardware responses. This feedback mechanism allows the system to correct and refine its models using real-world data, enhancing reliability over time.