Analysis of the time-frequency domain features of photovoltaic new energy metering signals

The output of photovoltaic new energy generation has complex dynamic features, which leads to inaccurate energy measurements. In order to explore the features of photovoltaic new energy power generation, a new energy measurement signal matrix was first established, and an unequally spaced interval STFT algorithm was then proposed based on the finite coverage theorem. A time-frequency domain data representation model was then constructed to represent the real and imaginary parts of the time-frequency domain information of the three-phase voltage and current of the energy measurement signal. This leads to a feature matrix which represents the important features in the time-frequency domain. Finally, important time-frequency domain features of photovoltaic new energy signals were extracted, providing a theoretical basis for determining the time-frequency domain feature parameters of the experimental signal for energy meter error testing.