Digital Technology for Smart Grid Innovative Algorithmic Solutions for Engineering. Problems

Autores/as

Esteban Inga, Universidad Politécnica Salesiana; Alexander Aguila Téllez, Universidad Politécnica Salesiana; Diego Carrión-Galarza, Universidad Politécnica Salesiana; Wilson Pavón, Universidad Politécnica Salesiana; Manuel Jaramillo, Universidad Politécnica Salesiana
DOI: https://doi.org/10.17163/abyaups.44

Palabras clave:

ELECTRICAL SYSTEMS, SYSTEMSGIREI, NETWORK PLANNING, PLANNINGENERGY, INNOVATIVE ALGORITHMIC SOLUTIONS

Sinopsis

The Smart Grids research group (GIREI) develops, designs, evaluates, and recommends methodologies and technologies to facilitate communication between the different stages of the electrical system to facilitate the optimal roadmap to achieve a "Smart Grid" focused on the reliability and efficiency of the system. It develops and implements applications directed to alternative energies through generic methodologies of climate analysis and specialized technologies for electricity generation, microgeneration, and distributed generation. One of its objectives is to transfer in a timely and innovative manner the results of research that generate an impact on the decisions of the Ecuadorian electricity sector according to the regional, national, and international context.
The GIREI group is currently working on processes that seek solutions for the optimal location of electric vehicle charging centers, certification of high voltage equipment, algorithms for efficiency and reliability of the electric distribution network, deployment of microgrids, and distributed generation, considering the massive inclusion of electric vehicles.

Capítulos

  • Presentation
  • Georeferencing for Planning Underground Networks
    Esteban Inga
  • Multicriteria Analysis for Quality and Reliability in Electrical Systems
    Alexander Aguila Téllez
  • Optimal Power Flow with Annual Demand Growth in Transmission Lines
    Diego Carrión-Galarza
  • Innovative Control Paradigms for DC Motors Control
    Wilson Pavón
  • Time Series Analysis for Electrical Demand Forecasting
    Manuel Jaramillo

Descargas

PDF COMPLETO
Georeferencing for Planning Underground Networks
Multicriteria Analysis for Quality and Reliability in Electrical Systems
Optimal Power Flow with Annual Demand Growth in Transmission Lines
Innovative Control Paradigms for DC Motors Control
Time Series Analysis for Electrical Demand Forecasting

Publicado

febrero 7, 2024
Derechos de autor 2024 Abya-Yala/UPS

Licencia

Creative Commons License

Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial-SinDerivadas 4.0.

Detalles sobre el formato de publicación disponible: PDF COMPLETO

PDF COMPLETO

DOI:

https://doi.org/10.17163/abyaups.44.345

Detalles sobre el formato de publicación disponible: Georeferencing for Planning Underground Networks

Georeferencing for Planning Underground Networks

DOI:

https://doi.org/10.17163/abyaups.44.347

Detalles sobre el formato de publicación disponible: Multicriteria Analysis for Quality and Reliability in Electrical Systems

Multicriteria Analysis for Quality and Reliability in Electrical Systems

DOI:

https://doi.org/10.17163/abyaups.44.348

Detalles sobre el formato de publicación disponible: Optimal Power Flow with Annual Demand Growth in Transmission Lines

Optimal Power Flow with Annual Demand Growth in Transmission Lines

DOI:

https://doi.org/10.17163/abyaups.44.349

Detalles sobre el formato de publicación disponible: Innovative Control Paradigms for DC Motors Control

Innovative Control Paradigms for DC Motors Control

DOI:

https://doi.org/10.17163/abyaups.44.350

Detalles sobre el formato de publicación disponible: Time Series Analysis for Electrical Demand Forecasting

Time Series Analysis for Electrical Demand Forecasting

DOI:

https://doi.org/10.17163/abyaups.44.351