Faults classification and identification on smart grid: Part-a status review

T. S. Hlalele, Y. Sun, Z. Wang

Research output: Contribution to journalConference articlepeer-review

14 Citations (Scopus)

Abstract

Power from the distributed energy renewable sources DER's must be controlled to match the load requirements. A control scheme should be adopted to regulate the power flow from the DERS to maintain quality and reliability of supply. Integration of this DER's that are fundamentally active transforms the distribution network further into a multi-source system allowing two-way power flows. Major concerns associated with these are voltage and frequency imbalance in the system. In this paper, different faults in a smart grid are characterized and classified. Methods used to identify these faults are systematically reviewed and reported with a view of identifying the challenges and the trends.

Original languageEnglish
Pages (from-to)601-606
Number of pages6
JournalProcedia Manufacturing
Volume35
DOIs
Publication statusPublished - 2019
Event2nd International Conference on Sustainable Materials Processing and Manufacturing, SMPM 2019 - Sun City, South Africa
Duration: 8 Mar 201910 Mar 2019

Keywords

  • Fault classification
  • Identification
  • Power flow
  • Smart grid

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering
  • Artificial Intelligence

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