Automated integrated analysis of condition and capacity of low-voltage networks

Maikel Klerx, Jeroen van Tongeren, Johan Morren, Han Slootweg

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

Abstract

Investigation of both capacity and quality of low-voltage networks is becoming more important. Previous research showed that condition assessment of low voltage (LV) grids is promising, but not sufficient yet to base asset management decisions on - due to limitations in data availability and quality and a low amount of failures. This paper presents a method which combines a condition assessment approach with a method to investigate the capacity of LV networks. The capacity method uses a bottom-up approach to predict if and when LV assets get overloaded. The combined approach ranks assets on the basis of expected condition and capacity bottlenecks. Results of a case study show among others an overlap of 45% of condition and capacity bottlenecks. It is proved that the presented combined approach is a useful, well-functioning and applicable approach for the asset management of LV distribution grids. This result follows up on and expands previous research.

Original languageEnglish
Title of host publication2020 IEEE Power and Energy Society General Meeting, PESGM 2020
PublisherIEEE Computer Society
Number of pages5
ISBN (Electronic)9781728155081
DOIs
Publication statusPublished - 16 Dec 2020
Event2020 IEEE Power and Energy Society General Meeting, PESGM 2020 - Montreal, Canada
Duration: 2 Aug 20206 Aug 2020

Conference

Conference2020 IEEE Power and Energy Society General Meeting, PESGM 2020
Country/TerritoryCanada
CityMontreal
Period2/08/206/08/20

Keywords

  • Asset management
  • Power distribution
  • Power system planning
  • Power system reliability
  • Preventive maintenance

Fingerprint

Dive into the research topics of 'Automated integrated analysis of condition and capacity of low-voltage networks'. Together they form a unique fingerprint.

Cite this