Digital scenario generation and harmonic signal tracing for calibration of intelligent power transducer

An intelligent power transducer plays an important role in the acquisition, monitoring, and control of data in power systems. A power transducer faces challenges of reduced measurement accuracy and calibration difficulties because of the surrounding field environment and the uncertainty of wind and photovoltaic power output. In this study, a digital scenario generation and harmonic signal tracing approach is proposed for the calibration of an intelligent power transducer. The intelligent power transducer calibration model integrates digital scenario construction. Then, based on the statistical relationship between historical meteorological data and generated power, raw data on wind and photovoltaic systems are clustered to construct digital calibration scenarios. Kernel density estimation and Copula functions are employed, and the generated scenario is reduced based on Kantorovich distance synchronous back-substitution. Finally, after considering harmonic factors in the reduced calibration scenario, a tracing method for calibration signal with harmonics is proposed for transducer calibration in complex test conditions. The study results demonstrate that the proposed method can efficiently provide a reference signal for the measurement and calibration of intelligent power transducers in a novel energy scenario and complex harmonic environments.