Phase Identification of Distribution Network Based on Phasor Angle Measurement. Issue 9 (10th May 2022)

• Record Type: Journal Article
• Authors: Li, Fangshuo; Liu, Lina; Cheng, Zhijiong; Wang, Tao; Qu, Ming; Li, Ruichao
• Is Part Of: IEEJ transactions on electrical and electronic engineering. Volume 17:Issue 9(2022)
• Page Start: 1276
• Page End: 1285
• Publication Date: 2022-05-10
• Subjects: phase identification -- phasor measurement -- line delay -- device delay -- line impedance -- MATLAB/Simulink simulations; Electrical engineering -- Periodicals; Electronics -- Periodicals; 621.3
• DOI: 10.1002/tee.23619
• Languages: English
• ISSNs: 1931-4973

Abstract

Abstract : Because of the crosstalk of neutral line signals in adjacent distribution transformers, the phase attribution relationship between users and transformer is not clear, which brings difficulties to the collection of users' electricity consumption information, file management, and power systems business development. Accordingly, this paper proposes a phase identification method for distribution network users based on dynamic phasor measurement, which can effectively identify all phase meter devices under the same station area. Firstly, considering that the signal on the power line contains complex frequency components and interference, the time‐varying phasor is approximated by the Taylor series. Secondly, by combining the discrete Fourier transform results of two adjacent data windows and calling the offline calculation matrix, accurate phasor measurements can be obtained. Phase shift processing is to obtain the phase angle of the bus line on the low‐voltage side of the transformer and the user at the same reporting time. In addition, the phase angle distortion caused by the impedance of the transmission line under different currents is also considered, so we make phase angle compensation to decrease the influence of the impedance of the line on the voltage phase angle. Simulation results and field experiments show that the proposed method can achieve a recognition success rate of 100% under frequency deviation conditions. Under the dynamic modulation and harmonic interference conditions, the recognition success rate could achieve 94.83% and 96.55%, respectively, it is much higher than that of the voltage correlation analysis method. © 2022 Institute of Electrical Engineers of Japan. Published by Wiley Periodicals LLC.