Fault Location in Low Voltage Smart Grids Based on Similarity Criteria in the Principal Component Subspace

Abstract

Comunicació de congrés presentada a: The Eleventh Conference on Innovative Smart Grid Technologies (ISGT 2020), sponsored by the IEEE Power & Energy Society (PES), will be held February 17-20, 2020 at the Grand Hyatt Washington, Washington D.C.

This paper presents a new strategy based on multivariate statistical analysis for fault location and classification in power distribution networks with distributed energy resources, variable loads, and switches enabling grid reconfiguration. The statistical method relies on impedance measurements acquired at the substation buses to build a data-driven model of the network operating conditions with dimensionality reduction, and considers a few reference scenarios representing standard operating conditions and short-circuit operation to perform fault location and classification with use of similarity criteria in the principal component subspace. Moreover, this paper includes a case study with a real-based low voltage power distribution network to test and validate the methodology

This research was supported by the European Union’s Horizon 2020 research and innovation programme, call LCE-01-2016-2017, under the auspices of the project Renewable penetration levered by Efficient Low Voltage Distribution grids, grant agreement number 773715, and University of Girona scholarship