Harmonic State Estimation Based on Asynchronous Power Quality Monitoring System

被引:0
|
作者
Xiao, Xianyong [1 ]
Hu, Yurong [1 ]
Wang, Yang [1 ]
Xu, Qunwei [2 ]
机构
[1] College of Electrical Engineering, Sichuan University, Chengdu,610065, China
[2] Electric Power Research Institute of State Grid Zhejiang Electric Power Co., Ltd., Hangzhou,310014, China
基金
中国国家自然科学基金;
关键词
Observability - Error compensation - Least squares approximations - Monitoring - Quality management - State estimation - Harmonic analysis;
D O I
10.13334/j.0258-8013.pcsee.201072
中图分类号
学科分类号
摘要
Harmonic state estimation is of great importance for power quality management. Most of existing methods assume the harmonic phasors at different locations are available, which do not consider the practical challenges such as the synchronization and the real-time data transmission. As a result, these methods can hardly be used in practice. In view of this, this paper proposed a new harmonic state estimation algorithm that suits for asynchronous power quality monitoring system in China. In the proposed method, the non-synchronization issue was addressed through phase angle error compensation, and the trust region algorithm was applied to solve the nonlinear least-square problem. In addition, a new observability analysis method was proposed to ensure the applicability of the method in practice. Finally, the performance of the proposed model was verified by simulation studies using IEEE 30 node system and the real-life field measured data. The result indicates that the proposed method can deal with the asynchronous harmonic measurements and its performance is better when the load fluctuation is small. Furthermore, the trust region algorithm is proved to be effective through the comparison with other nonlinear least square algorithms. © 2021 Chin. Soc. for Elec. Eng.
引用
收藏
页码:4121 / 4131
相关论文
共 50 条
  • [1] Power system harmonic state estimation based on generalized ridge estimation
    Niu, Shengsuo
    Liang, Zhirui
    Zhang, Jianhua
    Su, Haifeng
    Lü, Yunqing
    Dianli Zidonghua Shebei/Electric Power Automation Equipment, 2012, 32 (07): : 94 - 98
  • [2] Design of the Power Quality Monitoring System of Harmonic Based on DSP
    Huang, Xiang-hui
    Huang, Yu-ping
    Li, Li
    2011 INTERNATIONAL CONFERENCE ON ELECTRONICS, COMMUNICATIONS AND CONTROL (ICECC), 2011, : 1428 - 1431
  • [3] Overview on power system harmonic state estimation
    Liang, Zhi-Rui
    Ye, Hui-Qiang
    Zhao, Fei
    Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control, 2010, 38 (15): : 157 - 160
  • [4] POWER-SYSTEM HARMONIC STATE ESTIMATION
    MELIOPOULOS, APS
    ZHANG, F
    ZELINGHER, S
    IEEE TRANSACTIONS ON POWER DELIVERY, 1994, 9 (03) : 1701 - 1709
  • [5] Robust Dynamic Harmonic State Estimation Using Interval Asynchronous Monitoring Data
    Lin H.
    Shao Z.
    Chen F.
    Lin J.
    Lin X.
    Dianwang Jishu/Power System Technology, 2023, 47 (04): : 1701 - 1708
  • [6] A Screening Method of Asynchronous Monitoring Data Applied to Interval Harmonic State Estimation
    Zhan, Xiang
    Shao, Zhenguo
    Chen, Feixiong
    Ding, Jiaxin
    2023 2ND ASIAN CONFERENCE ON FRONTIERS OF POWER AND ENERGY, ACFPE, 2023, : 172 - 177
  • [7] Research into harmonic state estimation in power system based on PMU and SVD
    Hou, Shiying
    Xu, Zhixiang
    Lv, Houyu
    Jiang, Zejia
    Wang, Lingyi
    2006 INTERNATIONAL CONFERENCE ON POWER SYSTEMS TECHNOLOGY: POWERCON, VOLS 1- 6, 2006, : 1801 - +
  • [8] Power system harmonic state estimation based on singular value decomposition
    College of Electrical Engineering, Chongqing University, Chongqing 400044, China
    不详
    Dianli Zidonghua Shebei Electr. Power Autom. Equip., 2006, 11 (28-31):
  • [9] Dynamic harmonic state estimation of a power system based on adaptive SRUKF
    Zhang M.
    Xu S.
    Lu D.
    Xia R.
    He
    Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control, 2023, 51 (02): : 102 - 111
  • [10] Power Quality State Estimation for Distribution Grids Based on Physics-Aware Neural Networks-Harmonic State Estimation
    Mack, Patrick
    de Koster, Markus
    Lehnen, Patrick
    Waffenschmidt, Eberhard
    Stadler, Ingo
    ENERGIES, 2024, 17 (21)