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Topology Identification in Distribution Networks using Harmonic Synchrophasor Measurements

Authors :
Chen, Lei
Farajollahi, Mohammad
Ghamkhari, Mahdi
Zhao, Wei
Huang, Songling
Mohsenian-Rad, Hamed
Source :
IEEE Transactions on Smart Grid 2020
Publication Year :
2020

Abstract

Topology identification (TI) in distribution networks is a challenging task due to the limited measurement resources and therefore the inevitable need to use pseudo-measurements that are often inaccurate. To address this issue, a new method is proposed in this paper to integrate harmonic synchrophasors into the TI problem in order to enhance TI accuracy in distribution networks. In this method, topology identification is done jointly based on both fundamental synchrophasor measurements and harmonic synchrophasor measurements. This is done by formulating and then solving a mixed-integer linear programming (MILP) problem. Furthermore, an analysis is provided to capture the number of and the location of harmonic sources and sensors that are needed to ensure full observability. The benefits of the proposed TI scheme are compared against those of the traditional scheme that utilizes only the fundamental measurements. Finally, through numerical simulations on the IEEE 33-Bus power system, it is shown that the proposed scheme is considerably accurate compared to the traditional scheme in topology identification.

Details

Database :
arXiv
Journal :
IEEE Transactions on Smart Grid 2020
Publication Type :
Report
Accession number :
edsarx.2002.01787
Document Type :
Working Paper
Full Text :
https://doi.org/10.1109/TSG.2020.3038214