Distribution network equivalents for reliability analysis. Part 1: aggregation methodology

Ignacio Hernando Gil, Barry Hayes, Adam Collin, Sasa Z. Djokic

Research output: Contribution to conferencePaper

17 Citations (Scopus)

Abstract

This paper, which is part one of a two-part series, presents a general methodology for reducing system complexity by calculating the electrical and reliability equivalent models of low and medium voltage distribution networks. These equivalent models help to reduce calculation times while preserving the accuracy assessment of power system reliability performance. The analysis is applied to typical UK distribution systems, which supply four generic load sectors with different networks and demand compositions (residential, commercial and industrial). This approach allows for a direct correlation between reliability performance and network characteristics, while assessing the most representative aggregate values of failure rates and repair times of power components at each load sector. These are used in the Part 2 paper for assessing the potential benefits of energy storage and demand-side resources on the reliability performance of different generic distribution networks.
Original languageEnglish
Pages1 - 5
Number of pages5
DOIs
Publication statusPublished - Oct 2013
EventIEEE/PES Innovative Smart Grid Technologies Europe - Copenhagen, Denmark
Duration: 6 Oct 20139 Oct 2013
Conference number: 4th

Conference

ConferenceIEEE/PES Innovative Smart Grid Technologies Europe
Abbreviated titleISGT EUROPE
CountryDenmark
CityCopenhagen
Period6/10/139/10/13

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Keywords

  • Distribution system
  • equivalent network model
  • failure rate
  • mean repair time
  • reliability analysis

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Energy Engineering and Power Technology

Cite this

Hernando Gil, I., Hayes, B., Collin, A., & Djokic, S. Z. (2013). Distribution network equivalents for reliability analysis. Part 1: aggregation methodology. 1 - 5. Paper presented at IEEE/PES Innovative Smart Grid Technologies Europe, Copenhagen, Denmark. https://doi.org/10.1109/ISGTEurope.2013.6695450