A Multi-Stage Accelerated Quantum Particle Swarm Optimization for Planning and Operation of Static Var Compensators

Manuel S. Alvarez-Alvarado, Dilan Jayaweera

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

3 Citations (Scopus)

Abstract

By the employment of quantum mechanics, this paper proposes a Multi-Stage Accelerated Quantum Particle Swarm Optimization (MSAQPSO) to maximize savings due to electrical power losses reduction, which is subject to bus voltage constraints. The methodology incorporates Static Var Compensators (SVCs) integrated in a power system. The optimization problem is solved using a novel algorithm which consist of two stages. The first stage or the outer layer determines the optimum number, sizing, and placement of the SVCs. The second stage or the inner layer determines the optimum operation of the SVCs. The results reveal that the approach is feasible, and the optimization turns out to be fast and robust in comparison to the classical Particle Swarm Optimization (PSO).

Original languageEnglish
Title of host publication2018 IEEE 3rd Ecuador Technical Chapters Meeting, ETCM 2018
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
ISBN (Electronic)9781538666579
DOIs
Publication statusPublished - 17 Dec 2018
Event3rd IEEE Ecuador Technical Chapters Meeting, ETCM 2018 - Cuenca, Ecuador
Duration: 15 Oct 201819 Oct 2018

Publication series

Name2018 IEEE 3rd Ecuador Technical Chapters Meeting, ETCM 2018

Conference

Conference3rd IEEE Ecuador Technical Chapters Meeting, ETCM 2018
Country/TerritoryEcuador
CityCuenca
Period15/10/1819/10/18

Bibliographical note

Funding Information:
ACKNOWLEDGMENT This study was supported by the Walter Valdano Raffo II program in Escuela Superior Politécnica del Litoral (ESPOL) and the Secretariat of Higher Education, Science, Technology and Innovation of the Republic of Ecuador (Senescyt).

Publisher Copyright:
© 2018 IEEE.

Keywords

  • multi-stage accelerated quantum particle swarm optimization
  • power losses
  • static var compensator

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Energy Engineering and Power Technology
  • Biomedical Engineering
  • Electrical and Electronic Engineering
  • Control and Optimization

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