Correction of Time-varying PMU Phase Angle Deviation with Unknown Transmission Line Parameters

Ancheng Xue; He Kong; Feiyang Xu; Junbo Zhao; Naichao Chang; Joe H. Chow; Haiyan Hong

doi:10.17775/CSEEJPES.2021.07280

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Correction of Time-varying PMU Phase Angle Deviation with Unknown Transmission Line Parameters

Regular Papers | 更新时间：2026-10-15

- Correction of Time-varying PMU Phase Angle Deviation with Unknown Transmission Line Parameters
- CSEE Journal of Power and Energy Systems Vol. 9, Issue 1, Pages: 315-325(2023)
- 作者机构：
  
  1. State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University,Beijing,China
  2. Department of Electrical and Computer Engineering, University of Connecticut, Storrs,CT,USA
  3. National Electric Power Dispatching and Control Center,Beijing,China
  4. Department of Electrical, Computer, and Systems Engineering, Rensselaer Polytechnic Institute (RPI),Troy,NY,USA
- 作者简介：
- 基金信息：
- DOI：10.17775/CSEEJPES.2021.07280
  CLC：
- Published：01 January 2023
- 稿件说明：
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Ancheng Xue, He Kong, Feiyang Xu, et al. Correction of Time-varying PMU Phase Angle Deviation with Unknown Transmission Line Parameters[J]. CSEE Journal of Power and Energy Systems, 2023, 9(1): 315-325.
DOI：

Ancheng Xue, He Kong, Feiyang Xu, et al. Correction of Time-varying PMU Phase Angle Deviation with Unknown Transmission Line Parameters[J]. CSEE Journal of Power and Energy Systems, 2023, 9(1): 315-325. DOI： 10.17775/CSEEJPES.2021.07280.

摘要

Abstract

Phasor measurement units (PMUs) provide useful data for real-time monitoring of the smart grid. However

there may be time-varying deviation in phase angle differences (PADs) between both ends of the transmission line (TL)

which may deteriorate application performance based on PMUs. To address that

this paper proposes two robust methods of correcting time-varying PAD deviation with unknown parameters of TL (ParTL). First

the phenomena of time-varying PAD deviation observed from field PMU data are presented. Two general formulations for PAD estimation are then established. To simplify the formulations

estimation of PADs is converted into the optimal problem with a single ParTL as the variable

yielding a linear estimation of PADs. The latter is used by second-order Taylor series expansion to estimate PADs accurately. To reduce the impact of possible abnormal amplitude data in field data

the IGG (Institute of Geodesy & Geophysics

Chinese Academy of Sciences) weighting function is adopted. Results using both simulated and field data verify the effectiveness and robustness of the proposed methods.

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