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

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

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)
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages6
ISBN (Electronic)9781665433396
ISBN (Print)9781665433402 (PoD)
DOIs
Publication statusPublished - 24 Feb 2022
Event2021 IEEE PES Innovative Smart Grid Technologies - Asia, ISGT Asia 2021 - Brisbane, Australia
Duration: 5 Dec 20218 Dec 2021

Publication series

NameIEEE Innovative Smart Grid Technologies--Asia
PublisherIEEE
ISSN (Print)2378-8534
ISSN (Electronic)2378-8542

Conference

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

Bibliographical note

Publisher Copyright:
© 2021 IEEE

Keywords

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

ASJC Scopus subject areas

  • Artificial Intelligence
  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering
  • Control and Optimization

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