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Power factor improvement through optimal placement and sizing of D-STATCOM using particle swarming optimization

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

Abstract

This research aims to improve the power factor in a distribution electrical power system through the use of particle swarm optimization in order to find the optimal bus bar location for a distributed static synchronous compensator D-STATCOM by considering as a restriction not modified any other electrical parameter in the system. As a case study the IEEE 34 bus bar system is analysed in which first a base analysis of all power factors in each area of the system is performed, then the D-STATCOM is connected in every single bus bar to analyze all possible scenarios of compensation which will be the raw data to use and analyze with the optimization function. Finally, particle swarm optimization is implemented and the optimal global location for the location of the distributed static synchronous compensator is determined.

Original languageEnglish
Title of host publicationInternational Conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665470957
DOIs
StatePublished - 2022
Event2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME 2022 - Male, Maldives
Duration: 16 Nov 202218 Nov 2022

Publication series

NameInternational Conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME 2022

Conference

Conference2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME 2022
Country/TerritoryMaldives
CityMale
Period16/11/2218/11/22

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Distributed Generation
  • Distribution System with Distributed Generation
  • Line Loading
  • Renewable Resources

CACES Knowledge Areas

  • 317A Electricity and Energy

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