N-1 Based Optimal Placement of SVC Using Elitist Genetic Algorithm in Terms of Multiobjective Problem Statement

Resultado de la investigación: Conference contributionrevisión exhaustiva

Idioma originalEnglish
Título de la publicación alojada2019 IEEE 60th Annual International Scientific Conference on Power and Electrical Engineering of Riga Technical University, RTUCON 2019 - Proceedings
EditorialInstitute of Electrical and Electronics Engineers Inc.
Número de páginas10
ISBN (versión digital)9781728139425
DOI
EstadoPublished - oct 2019
Evento60th IEEE Annual International Scientific Conference on Power and Electrical Engineering of Riga Technical University, RTUCON 2019 - Riga, Latvia
Duración: 7 oct 20199 oct 2019

Serie de la publicación

Nombre2019 IEEE 60th Annual International Scientific Conference on Power and Electrical Engineering of Riga Technical University, RTUCON 2019 - Proceedings

Conference

Conference60th IEEE Annual International Scientific Conference on Power and Electrical Engineering of Riga Technical University, RTUCON 2019
PaísLatvia
CiudadRiga
Período07/10/201909/10/2019

ASJC Scopus subject areas

  • Control and Optimization
  • Energy Engineering and Power Technology
  • Instrumentation
  • Electrical and Electronic Engineering
  • Computer Networks and Communications
  • Automotive Engineering

WoS ResearchAreas Categories

  • Energy & Fuels
  • Engineering, Electrical & Electronic

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