Identification Method for Same-source Voltage Sags Based on Typical Waveform Characteristics and Improved Density-based Spatial Clustering of Applications with Noise

被引:0
|
作者
Wang Y. [1 ]
Xie J. [1 ]
Deng L. [1 ]
Xiao X. [1 ]
机构
[1] College of Electrical Engineering, Sichuan University, Chengdu
基金
中国国家自然科学基金;
关键词
Bhattacharyya distance; Data redundancy; Density-based spatial clustering of applications with noise (DBSCAN); Overestimation; Same-source identification; Three-dimensional characteristic; Voltage sag;
D O I
10.7500/AEPS20200915002
中图分类号
学科分类号
摘要
A single short-circuit fault in the power grid may trigger the power quality monitoring devices on multiple bus bars to record the voltage sag waveforms, which results in the redundant recording data and the overestimation of voltage sag. Aiming at these problems, this paper proposes an identification method for same-source voltage sags based on the typical waveform characteristics and the improved density-based spatial clustering of applications with noise (DBSCAN). Firstly, the three-dimensional characteristics of the comprehensive tilt factor, the waveform similarity and the duration are proposed to comprehensively describe the same-source property of voltage sags. At the same time, the propagation properties of voltage sags through multiple levels of transformers are studied, and 13 kinds of equivalent transfer matrices of phase voltage of transformers are derived, while the waveform similarity calculation method based on Bhattacharyya distance is proposed. Secondly, the shared nearest neighbor (SNN) is used to improve DBSCAN, and the same-source clustering of the matrices composed of three-dimensional characteristics is performed. Secondly, a clustering parameter calculation method based on the total number of power grid nodes and the total number of monitoring points is proposed to realize the same-source identification for voltage sags. The measured data and the simulation data of the IEEE 30-bus system are used for verification, and the results verify the correctness and effectiveness of the proposed method. © 2021 Automation of Electric Power Systems Press.
引用
收藏
页码:126 / 135
页数:9
相关论文
共 25 条
  • [1] WANG Jianxun, ZHANG Yi, ZHANG Yan, Et al., Comprehensive prevention and control scheme for voltage sag in modern industrial park, Automation of Electric Power Systems, 44, 14, pp. 156-163, (2020)
  • [2] GUAN Chun, ZHOU Luowei, LU Weiguo, Et al., A method to compress three-phase power quality data, Power System Technology, 35, 10, pp. 130-134, (2011)
  • [3] ZHANG Yi, YANG Honggeng, YE Maoqing, A data management scheme for massive power quality monitoring data based on distributed file system, Automation of Electric Power Systems, 38, 2, pp. 102-108, (2014)
  • [4] SI Xuezhen, LI Qionglin, YANG Jiali, Et al., Analysis of voltage sag characteristics based on measured data, Electric Power Automation Equipment, 37, 12, pp. 144-149, (2017)
  • [5] TAO Shun, XIAO Xiangning, Voltage sags types under different grounding modes of neutral and their propagation: Part Ⅱ, Transactions of China Electrotechnical Society, 22, 10, pp. 156-159, (2007)
  • [6] LI Danqi, SHI Mingming, YUAN Xiaodong, Et al., Voltage sag waveform matching method based on cross approximate entropy, Jiangsu Electrical Engineering, 38, 4, pp. 124-130, (2019)
  • [7] AUNG M T, MILANOVIC J V., The influence of transformer winding connections on the propagation of voltage sags, IEEE Transactions on Power Delivery, 21, 1, pp. 262-269, (2006)
  • [8] BLAIR S M, BOOTH C D, WILLIAMSON G, Et al., Automatically detecting and correcting errors in power quality monitoring data, IEEE Transactions on Power Delivery, 32, 2, pp. 1005-1013, (2017)
  • [9] IEEE recommended practice for monitoring electric power quality: IEEE 1159-2019, (2019)
  • [10] CHEN Zhongli, XU Weisheng, Reason and prevention of voltage interruption and voltage sags, Transactions of China Electrotechnical Society, 30, 1, pp. 510-518, (2015)