State of the art of human factors analysis applied to industrial and commercial power systems

Esperanza S. Torres, David Celeita, Gustavo Ramos

Producción científica: Capítulo en Libro/ReporteContribución a la conferencia

4 Citas (Scopus)

Resumen

Electrical power systems are more complex and dynamic. The development of new technologies, equipment, power market transformation, regulations and community demands, are factors that increase uncertainties and risks related to the operation, control, safety and reliability of the power supply networks. There is a historical application of methods for failure analysis and reliability evaluation. However, there is a lack of applied methods focused on power systems reliability including human factors (HF), specifically for industrial and commercial power systems. This paper mainly focuses on a literature review to identify information regarding human reliability analysis (HRA), and human error probability (HEP) applied on reliability analysis of electrical power systems. Also, a sociotechnical system approach of the power systems is introduced.

Idioma originalInglés estadounidense
Título de la publicación alojada2018 2nd IEEE International Conference on Power Electronics, Intelligent Control and Energy Systems, ICPEICES 2018
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas33-38
Número de páginas6
ISBN (versión digital)9781538666258
DOI
EstadoPublicada - oct. 2018
Publicado de forma externa
Evento2nd IEEE International Conference on Power Electronics, Intelligent Control and Energy Systems, ICPEICES 2018 - Delhi, India
Duración: oct. 22 2018oct. 24 2018

Serie de la publicación

Nombre2018 2nd IEEE International Conference on Power Electronics, Intelligent Control and Energy Systems, ICPEICES 2018

Conferencia

Conferencia2nd IEEE International Conference on Power Electronics, Intelligent Control and Energy Systems, ICPEICES 2018
País/TerritorioIndia
CiudadDelhi
Período10/22/1810/24/18

Áreas temáticas de ASJC Scopus

  • Control y optimización
  • Inteligencia artificial
  • Ingeniería energética y tecnologías de la energía
  • Energías renovables, sostenibilidad y medio ambiente
  • Ingeniería eléctrica y electrónica
  • Ingeniería mecánica

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