Distribution System Reconfiguration for Voltage Profile Improvement using Enhanced Particle Swarm Optimization

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

2 Scopus citations

Abstract

The distribution stage of electrical energy presents the greatest number of problems due to the constant change in the load, which is directly related to the end users, whether residential, commercial or industrial. Among the most common problems are voltage drops, presence of harmonics, overloads and power losses which are caused by poor configuration or design of the electrical network. In this work we propose to reconfigure the distribution network with the objective of reducing voltage drop levels and reducing power losses in each of the network sections. One of the algorithms proposed to meet this objective is the improved particle swarm optimization which seeks the optimal reconfiguration of the network taking into account various constraints to maintain power quality. DNR will be implemented in modified test models with the help of MATLAB's MATPOWER tool.

Original languageEnglish
Title of host publication2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350332117
ISBN (Print)9798350332117
DOIs
StatePublished - 2023
Event2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023 - Male, Maldives
Duration: 11 Mar 202312 Mar 2023

Publication series

Name2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023

Conference

Conference2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023
Country/TerritoryMaldives
CityMale
Period11/03/2312/03/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

  • objective function
  • particle swarm optimization
  • Power distribution networks
  • power quality
  • voltage fluctuations

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