Reliability model for a Static Var Compensator

Manuel Alvarez Alvarado, Dilan Jayaweera

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

18 Citations (Scopus)
563 Downloads (Pure)

Abstract

This paper presents a reliability model of a Static Var Compensator (SVC) using an innovative algorithm based on sequential Monte Carlo simulation and Markov chains. The method employs the equivalent circuit of a SVC and takes the failure rate and repair time of each component as input in order to compute the failure rate and repair time of the whole SVC system. The specific contribution of this investigation is that it presents a mathematical pathway to model operating conditions of a SVC subject to individual operating states of its components, resulting in a comprehensive reliability model.

Original languageEnglish
Title of host publication2017 IEEE Ecuador Technical Chapters Meeting (ETCM)
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages6
ISBN (Electronic)9781538638941, 9781509058105 (USB)
ISBN (Print)9781538638958 (PoD)
DOIs
Publication statusPublished - 8 Jan 2018
Event2nd IEEE Ecuador Technical Chapters Meeting, ETCM 2017 - Salinas, Ecuador
Duration: 16 Oct 201720 Oct 2017

Publication series

NameIEEE Ecuador Technical Chapters Meeting (ETCM)

Conference

Conference2nd IEEE Ecuador Technical Chapters Meeting, ETCM 2017
Country/TerritoryEcuador
CitySalinas
Period16/10/1720/10/17

Bibliographical note

Funding Information:
This study was supported by the Walter Raffo Valdano 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:
© 2017 IEEE.

Keywords

  • failure rate
  • Markov Chain
  • Monte Carlo simulation
  • reliability model
  • repair time
  • static var compensator

ASJC Scopus subject areas

  • Information Systems and Management
  • Safety, Risk, Reliability and Quality
  • Control and Optimization
  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems

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