Integration of renewable energies in conventional power systems based on computational reliability


Abstract:

We report the successful computational reliability of integrating renewable energy into conventional electric power systems. According to renewable resources available in the province of Imbabura in Ecuador, where there are sufficient renewable resources to generate clean energy with three types of technology, such as wind energy, photovoltaic solar energy and thermoelectric energy. We have been able to conduct two fundamental case studies, and then calculate reliability indices using the non-sequential Monte Carlo method using Matlab programming. The reliability indices allowed us to evaluate the reliability of the system. Due to the fact that the lower the reliability index, the higher the reliability of the system. As a result, this paper provides a promising method for increasing the reliability of electric power systems and supporting the future integration of renewable energies.

Año de publicación:

2019

Keywords:

  • matlab
  • Monte Carlo method
  • Electric power
  • Reliability index
  • renewable energy integration

Fuente:

scopusscopus

Tipo de documento:

Article

Estado:

Acceso restringido

Áreas de conocimiento:

  • Energía
  • Energía
  • Energía renovable

Áreas temáticas:

  • Física aplicada
  • Sistemas