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Reliability Study of a Smart Distribution System with Optimal Sizing and Placement of Capacitors

  • Fernando Salinas-Herrera
  • , Dilan Jayaweera
  • , Manuel S. Alvarez-Alvarado
  • , Xavier Riofrío

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

3 Scopus citations

Abstract

This work introduces a new modified IEEE 33-node test system to be smart by implementing distributed renewable generation, smart metering load characteristics, and optimal installation of capacitors. The Particle Swarm Optimisation (PSO) technique is adopted to compute the optimal sizing and placement of capacitor in the original network. Then, to assess the reliability of the original and modified test systems, a sequential Monte Carlo simulation takes place. The relevant contribution of this paper is that it offers a comprehensive approach of a reliability assessment in a distribution system, where several smart features have been implemented. In addition, the modified system opens a pathway for future research in which smart distribution system analysis is required related mainly to reliability assessment.

Original languageEnglish
Title of host publication2021 IEEE PES Innovative Smart Grid Technologies - Asia, ISGT Asia 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665433396
DOIs
StatePublished - 2021
Externally publishedYes
Event2021 IEEE PES Innovative Smart Grid Technologies - Asia, ISGT Asia 2021 - Brisbane, Australia
Duration: 5 Dec 20218 Dec 2021

Publication series

Name2021 IEEE PES Innovative Smart Grid Technologies - Asia, ISGT Asia 2021

Conference

Conference2021 IEEE PES Innovative Smart Grid Technologies - Asia, ISGT Asia 2021
Country/TerritoryAustralia
CityBrisbane
Period5/12/218/12/21

Keywords

  • capacitor
  • Particle Swarm Optimisation
  • power losses
  • reliability assessment
  • sequential Monte Carlo simulation
  • smart distribution system
  • smart grids

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