A Sensitivity Study of PMU-based Fault Detection on Smart Grid

Richard Barella, Duc Nguyen, Ryan Winter, Kuei-Ti Lu, Scott Wallace, Xinghui Zhao, Eduardo Cotilla-Sanchez

2015

Abstract

Phasor measurement units (PMUs) are widely used in power transmission systems to provide synchronized measurements for the purpose of fault detection. However, how to efficiently deploy those devices across a power grid – so that a comprehensive coverage can be provided at a relatively low cost – remains a challenge. In this paper, we present a sensitivity study of a PMU-based fault detection method using three different distance metrics. This study can serve as a guideline for efficient PMU deployment. To illustrate the effectiveness of this approach, we have derived an alternative PMU placement plan for a power grid. Experimental results show that our PMU placement reduces the required PMU deployment by more than 80% as compared to the original placement, yet still provides similar level of accuracy in fault detection.

Download


Paper Citation


in Harvard Style

Barella R., Nguyen D., Winter R., Lu K., Wallace S., Zhao X. and Cotilla-Sanchez E. (2015). A Sensitivity Study of PMU-based Fault Detection on Smart Grid . In Proceedings of the 4th International Conference on Smart Cities and Green ICT Systems - Volume 1: SMARTGREENS, ISBN 978-989-758-105-2, pages 185-192. DOI: 10.5220/0005453801850192

in Bibtex Style

@conference{smartgreens15,
author={Richard Barella and Duc Nguyen and Ryan Winter and Kuei-Ti Lu and Scott Wallace and Xinghui Zhao and Eduardo Cotilla-Sanchez},
title={A Sensitivity Study of PMU-based Fault Detection on Smart Grid},
booktitle={Proceedings of the 4th International Conference on Smart Cities and Green ICT Systems - Volume 1: SMARTGREENS,},
year={2015},
pages={185-192},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005453801850192},
isbn={978-989-758-105-2},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 4th International Conference on Smart Cities and Green ICT Systems - Volume 1: SMARTGREENS,
TI - A Sensitivity Study of PMU-based Fault Detection on Smart Grid
SN - 978-989-758-105-2
AU - Barella R.
AU - Nguyen D.
AU - Winter R.
AU - Lu K.
AU - Wallace S.
AU - Zhao X.
AU - Cotilla-Sanchez E.
PY - 2015
SP - 185
EP - 192
DO - 10.5220/0005453801850192