Lightweight Data Fusion Acquisition Method Based on Non-Sinusoidal Power Feature

The distribution systems with photovoltaic (PV) integration have limited capacity to accommodate power quality measurement devices, which poses challenges in data acquisition and characterization of power quality disturbances. In this paper, a lightweight method for power quality data fusion acquisition based on the non-sinusoidal power feature is proposed. Firstly, the non-sinusoidal power theory is introduced, which separates the voltage and current components at harmonic and fundamental frequencies. Secondly, a lightweight data fusion acquisition method based on the non-sinusoidal power system is proposed. Through defining multiple non-sinusoidal power indicators, the power quality data feature fusion indicator system is proposed. Accordingly, the fusion relationship between non-sinusoidal indicators and power quality features is further analyzed. Finally, the proposed data acquisition lightweight method is validated using both real-field measured data and PSCAD simulation. Results show that the proposed non-sinusoidal power system can effectively reflect the state of fundamental and harmonic voltage and current, represent multi-dimensional characteristics of the system, and achieve lightweight data acquisition utilizing<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sup> limited data.