3-Phase Boost Rectifier Condition Health Monitoring based on Digital Twin Technique

In the field of energy generation from renewables, such as wind power, it is essential to avoid service interruption, as well as to assure scheduled maintenance, in order to limit the operating costs of the power plant. For this reason, it is important to monitor critical system components, such as the power electronic converter. This paper proposes an online real-time monitoring method based on the Digital Twin (DT) concept of an AC-DC 3-phase converter. Based on the sensor measurement data, the DT is realized as a real-time digital model (RTDM) that runs in parallel to the physical 3-phase boost rectifier for its entire lifecycle. The Typhoon solver is used to implement the RTDM of the 3-phase boost rectifier to reach a solving time within 1μs. To identify the current value of the degradation parameters of the physical system, the comparison between the data analysis and the measurement data is performed. This scope is reached by applying the heuristic optimization algorithm like Particle Swarm Optimization (PSO) method. The proposed monitoring method is validated through the RTDM implemented on FPGA and runs on a suitable control board. Experimental tests on the converter prototype are illustrated.