Evaluation of assessment methods used to analyze measured voltage magnitude performance

E. Venter, J. H.C. Pretorius, R. G. Koch

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Various assessment methods are used for analyzing voltage regulation data when reporting electrical transmission system performance. There is an international debate as to which of these assessment methods are the best. A statistical analysis of measured voltage regulation data for the Eskom transmission network was undertaken to investigate the implication of using the various assessment methods - including the maximum 10-min value, the 95% and 99% weekly methods, and the 95% and 99% daily methods. The 95% weekly assessment method is currently being used within Eskom (as well as standards such as EN 50160). The values obtained from the various assessment methods were compared against the corresponding maximum 10-minute values and against each other. The results show significantly higher 10-minute maximum values than the corresponding 95% or 99% values for a given week.

Original languageEnglish
Title of host publicationProceedings of 2012 IEEE 15th International Conference on Harmonics and Quality of Power, ICHQP 2012
Pages463-469
Number of pages7
DOIs
Publication statusPublished - 2012
Externally publishedYes
Event2012 IEEE 15th International Conference on Harmonics and Quality of Power, ICHQP 2012 - Hong Kong, Hong Kong
Duration: 17 Jun 201220 Jun 2012

Publication series

NameProceedings of International Conference on Harmonics and Quality of Power, ICHQP
ISSN (Print)1540-6008
ISSN (Electronic)2164-0610

Conference

Conference2012 IEEE 15th International Conference on Harmonics and Quality of Power, ICHQP 2012
Country/TerritoryHong Kong
CityHong Kong
Period17/06/1220/06/12

Keywords

  • Assessment and reporting
  • Power quality
  • Standards power quality measurement
  • Voltage magnitude
  • Voltage regulation

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing
  • Energy Engineering and Power Technology
  • Fuel Technology
  • Electrical and Electronic Engineering

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