Power quality enhancement in distribution systems by optimal placement of dynamic voltage restorer

Masoud Farhoodnea, Azah Mohamed, Hussain Shareef

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

4 Citations (Scopus)

Abstract

This paper presents an optimization method based on the firefly algorithm (FA) to address the optimal location and sizing problem of Dynamic Voltage Restorers (DVRs) for enhancing power quality in distribution systems. The objective function is formulated to minimize the voltage total harmonic distortion and total investment cost as well as to improve voltage profile of the system. To test the performance of the proposed FA, the algorithm is implemented on the modified IEEE 16-bus radial distribution systems using the Matlab software. The results are then compared with Particle Swarm Optimization (PSO) and Genetic Algorithm (GA). The simulation results indicate that the proposed FA gives better performance and accuracy compared to PSO and GA in determining the optimum location and size of DVRs in a distribution system.

Original languageEnglish
Title of host publicationProceeding - 2013 IEEE Student Conference on Research and Development, SCOReD 2013
EditorsRosdiadee Nordin, Montadar Abas Taher, Mahamod Ismail
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages111-115
Number of pages5
ISBN (Electronic)9781479926565
DOIs
Publication statusPublished - Jan 6 2013
Externally publishedYes
Event2013 11th IEEE Student Conference on Research and Development, SCOReD 2013 - Putrajaya, Malaysia
Duration: Dec 16 2013Dec 17 2013

Publication series

NameProceeding - 2013 IEEE Student Conference on Research and Development, SCOReD 2013

Conference

Conference2013 11th IEEE Student Conference on Research and Development, SCOReD 2013
Country/TerritoryMalaysia
CityPutrajaya
Period12/16/1312/17/13

Keywords

  • Active voltage conditioner
  • firefly algorithm
  • optimal placement
  • optimization
  • power quality

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Biomedical Engineering
  • Electrical and Electronic Engineering

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