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author:

Lin, Xiao (Lin, Xiao.) [1] | Shao, Zhenguo (Shao, Zhenguo.) [2] | Chen, Feixiong (Chen, Feixiong.) [3] | Xu, Haobo (Xu, Haobo.) [4]

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EI PKU CSCD

Abstract:

The conventional harmonic responsibility determination method needs the specialized equipment to measure harmonic voltages and currents of users synchronously, therefore its engineering applications are limited. In this paper, a method for the responsibility determination of multiple harmonic sources based on interval-type monitoring data, which is the asynchronous measurement data from harmonic monitoring devices, is proposed. First, interval monitoring samples are constructed from the existing harmonic monitoring data. Then, the scenarios are divided by the linear dynamic clustering algorithm based on the parameterized method to ensure that the harmonic impedance variation and the background harmonic voltage fluctuation are kept in a small range in each scenario. Subsequently, the interval linear equations for quantification of harmonic responsibility are established and the interval parameters are identified by the correlation data selection method. Finally, a harmonic responsibility interval index is proposed to evaluate the harmonic responsibility of harmonic sources quantitatively. The feasibility and effectiveness of the proposed method are verified by simulation and arithmetic cases. ©2023 Chin.Soc.for Elec.Eng.

Keyword:

Clustering algorithms Harmonic analysis Power quality

Community:

  • [ 1 ] [Lin, Xiao]Fujian Smart Electrical Engineering Technology Research Center, College of Electrical Engineering and Automation, Fuzhou University, Fujian Province, Fuzhou; 350108, China
  • [ 2 ] [Shao, Zhenguo]Fujian Smart Electrical Engineering Technology Research Center, College of Electrical Engineering and Automation, Fuzhou University, Fujian Province, Fuzhou; 350108, China
  • [ 3 ] [Chen, Feixiong]Fujian Smart Electrical Engineering Technology Research Center, College of Electrical Engineering and Automation, Fuzhou University, Fujian Province, Fuzhou; 350108, China
  • [ 4 ] [Xu, Haobo]Ningde Power Supply Company of State Grid Fujian Electric Power Company, Fujian Province, Ningde; 352000, China

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Source :

中国电机工程学报

ISSN: 0258-8013

Year: 2023

Issue: 11

Volume: 43

Page: 4284-4294

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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