A new approach for reliability assessment of a static v ar compensator integrated smart grid

Manuel S. Alvarez-Alvarado, Dilan Jayaweera

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

11 Citations (Scopus)

Abstract

This paper presents an algorithm that employs a Sequential Monte Carlo Simulation (SMCS), to estimate operational states of components connected to a grid. Then, by the use of an Accelerated Quantum Particle Swarm Optimization (AQPSO), the algorithm determines the optimum size and location of Static Var Compensators (SVCs). The approach maximizes the level of reliability of the smart grid, which is subject to voltage regulation. The specific contribution of the paper is that it presents the impact of the integration of SVC over the system reliability that leads to a comprehensive composite system adequacy evaluation for a smart grid environment.

Original languageEnglish
Title of host publication2018 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2018 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
ISBN (Print)9781538635964
DOIs
Publication statusPublished - 17 Aug 2018
Event2018 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2018 - Boise, United States
Duration: 24 Jun 201828 Jun 2018

Publication series

Name2018 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2018 - Proceedings

Conference

Conference2018 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2018
Country/TerritoryUnited States
CityBoise
Period24/06/1828/06/18

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

  • Accelerated quantum particle swarm optimization
  • Markov Chain
  • Monte Carlo simulation
  • Reliability assessment
  • Smart-grids
  • Static var compensator

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Statistics, Probability and Uncertainty
  • Energy Engineering and Power Technology
  • Statistics and Probability

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