Transmission line parameter identification method based on PMU error correction

被引:0
|
作者
Zhang J. [1 ]
Lei J. [2 ]
He Y. [1 ]
Wu P. [1 ]
Yu J. [2 ]
Xiang M. [2 ]
Ren P. [1 ]
机构
[1] State Grid Henan Electric Power Company Research Institute, Zhengzhou
[2] State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Chongqing
关键词
data management; parameter identification; PMU error correction; transmission line;
D O I
10.19783/j.cnki.pspc.220096
中图分类号
学科分类号
摘要
Line parameter identification plays an important role in accurately reflecting the actual running state of a power grid, but it requires high precision of phasor measurement unit (PMU) data, so the measured data cannot directly meet the application requirements. Therefore, a transmission line parameter identification method based on PMU error correction is proposed in this paper. First, the PMU data is pre-processed based on categories using different error types and data characteristics. Then, given the bias error lacking significant features, a PMU error correction method based on physical equivalent model of transmission line is proposed. This considers the data law and error sensitivity characteristics. Finally, on the basis of the above correction method, a data quality governance program of the whole PMU station is proposed. Through simulation and measured data, the results show that the method proposed can improve the quality of PMU measurement data compared with the existing methods, and then realize the effective identification of transmission line parameters. © 2022 Power System Protection and Control Press. All rights reserved.
引用
收藏
页码:130 / 137
页数:7
相关论文
共 24 条
  • [1] YANG Tao, LUO Pingping, GONG Jinxia, Et al., Parameter identification of short parallel double-lines based on a modified unscented Kalman filter, Power System Protection and Control, 49, 5, pp. 36-45, (2021)
  • [2] WEN Zhiqiang, SHU Naiqiu, PENG Hui, Et al., Differentiated operation and maintenance scheduling optimization of transmission lines, Power System Technology, 39, 4, pp. 1101-1108, (2015)
  • [3] WU Mingli, FANG Yu, Numerical calculations of internal impedance of cylindrical conductors, Transactions of China Electrotechnical Society, 19, 3, pp. 52-58, (2004)
  • [4] HUANG Chao, Research on live measurement method of zero sequence parameters of overhead lines, (2010)
  • [5] XUE Ancheng, ZHANG Zhaoyang, BI Tianshu, Online identification of transmission line positive-sequence parameters based on adaptive robust least squares, Transactions of China Electrotechnical Society, 30, 8, pp. 202-209, (2015)
  • [6] GE Weichun, ZHANG Shuo, ZHANG Yanjun, Et al., A novel method for fault location of distribution network based on μPMU synchronized measurement data, Power System Protection and Control, 48, 4, pp. 39-46, (2020)
  • [7] APPASANI B, JHA A V, MISHRA S K, Et al., Communication infrastructure for situational awareness enhancement in WAMS with optimal PMU placement, Protection and Control of Modern Power Systems, 6, 1, pp. 124-135, (2021)
  • [8] GAJARE S, PRADHAN A K, TERZIJA V., A method for accurate parameter estimation of series compensated transmission lines using synchronized data, IEEE Transactions on Power Systems, 32, 6, pp. 4843-4850, (2017)
  • [9] LI C, ZHANG Y, ZHANG H, Et al., Measurement-based transmission line parameter estimation with adaptive data selection scheme, IEEE Transactions on Smart Grid, 96, pp. 5764-5773, (2018)
  • [10] LIAO Y, KEZUNOVIC M., Online optimal transmission line parameter estimation for relaying applications, IEEE Transactions on Power Delivery, 24, 1, pp. 96-102, (2008)