Principal
Grupo de investigación BISITE
  • EN EN
  • ES ES
Universidad de Salamanca
  • ¿Quiénes somos?
  • Grupo
    • Equipo
    • Laboratorios
    • Blog
  • I+D+i
    • Líneas de investigación
    • Proyectos
      • Internacionales
      • Nacionales
      • Regionales
      • Empresas
      • Innovación docente
      • Redes temáticas
    • Publicaciones
      • Revistas
      • Libros
      • Capítulos en libro
      • Congresos
    • Transferencia
      • Plataformas
      • Socios tecnológicos
  • Formación
    • Másteres
      • Máster en Animación Digital
      • Máster en Blockchain y Smart Contracts
      • Máster en Internet de las Cosas
      • Máster en Seguridad en Internet
      • Máster en Smart Cities & Intelligent Buildings
      • Máster en Tecnologías aplicadas al Diseño e Impresión 3D
      • Máster en Transformación Digital
      • Recursos TIC en el proceso de Enseñanza-Aprendizaje
    • Expertos
      • Experto en Animación Digital
      • Experto en Blockchain y Smart Contracts
      • Experto en Internet de las Cosas
      • Experto en Seguridad en Internet
      • Experto en Smart Cities & Intelligent Buildings
      • Experto en Tecnologías aplicadas al Diseño e Impresión 3D
      • Experto en Transformación Digital
      • Experto en Gestión Laboral
      • Experto en Pericia Documental
    • Cursos
    • MOOCs e4YOU
    • Campus-BISITE
  • Congresos
  • BISITE
  • Investigación
  • Publicaciones

Stochastic interval-based optimal offering model for residential energy management systems by household owners

Atrás
  • Líneas de investigación
  • Proyectos
    • Internacionales
    • Nacionales
    • Regionales
    • Empresas
    • Innovación docente
    • Redes temáticas
  • Publicaciones
    • Revistas
    • Libros
    • Capítulos de libro
    • Congresos
  • Propiedades Intelectuales
Título:
Stochastic interval-based optimal offering model for residential energy management systems by household owners.
Autores: 
Shokri Gazafroudi, Amin; Soares, Joao; Fotouhi Ghazvini, Mohammad A.; Pinto, Tiago; Vale, Zita; Corchado Rodríguez, Juan M.
Revista:
International Journal of Electrical Power & Energy Systems. Volumen 105, pp. 201-219. ELSEVIER.

Fecha de Publicación: 
February 2019
ISSN: 
0142-0615
DOI
 10.1016/j.ijepes.2018.08.019

BibTex

@article { article,
title = {Stochastic interval-based optimal offering model for residential energy management systems by household owners},
author = {Shokri Gazafroudi, Amin; Soares, Joao; Fotouhi Ghazvini, Mohammad A.; Pinto, Tiago; Vale, Zita; Corchado Rodríguez, Juan M.},
journal = {International Journal of Electrical Power & Energy Systems},
publisher = {ELSEVIER},
volume = {105},
year = {2019}
}

XML

<article key='journals/International/Shokri/February 2019' mdate='February 2019'>
<author> Shokri Gazafroudi</author>
<author> Amin; Soares</author>
<author> Joao; Fotouhi Ghazvini</author>
<author> Mohammad A.; Pinto</author>
<author> Tiago; Vale</author>
<author> Zita; Corchado Rodríguez</author>
<author> Juan M.</author>
<title> Stochastic interval-based optimal offering model for residential energy management systems by household owners</title>
<pages> 201-219</pages>
<year> 2019</year>
<journal> International Journal of Electrical Power & Energy Systems</journal>
<ee> 10.1016/j.ijepes.2018.08.019</ee>
<url> https://www.sciencedirect.com/science/article/pii/S0142061518311177?via%3Dihub</url>
</article>
Indicios de calidad:
JCR (2019): 3.588
ENGINEERING, ELECTRICAL & ELECTRONIC: 66/266 (Q1)

This paper proposes an optimal bidding strategy for autonomous residential energy management systems. This strategy enables the system to manage its domestic energy production and consumption autonomously, and trade energy with the local market through a novel hybrid interval-stochastic optimization method. This work poses a residential energy management problem which consists of two stages: day-ahead and real-time. The uncertainty in electricity price and PV power generation is modeled by interval-based and stochastic scenarios in the day-ahead and real-time transactions between the smart home and local electricity market. Moreover, the implementation of a battery included to provide energy flexibility in the residential system. In this paper, the smart home acts as a price-taker agent in the local market, and it submits its optimal offering and bidding curves to the local market based on the uncertainties of the system. Finally, the performance of the proposed residential energy management system is evaluated according to the impacts of interval optimistic and flexibility coefficients, optimal bidding strategy, and uncertainty modeling. The evaluation has shown that the proposed optimal offering model is effective in making the home system robust and achieves optimal energy transaction. Thus, the results prove that the proposed optimal offering model for the domestic energy management system is more robust than its non-optimal offering model. Moreover, battery flexibility has a positive effect on the system’s total expected profit. With regarding to the bidding strategy, it is not able to impact the smart home’s behavior (as a consumer or producer) in the day-ahead local electricity market.

Síguenos


Enlaces de interés

Contacto

  • Edificio Multiusos I+D+i:
    Calle Espejo s/n, 37007, Salamanca, España

     

  • Teléfono: (+34) 923 294 400 ext. 1525
  • Fax: (+34) 923 294 514
  • Email: bisite@usal.es

Bisite Research Group

2023 | Grupo de investigación BISITE

  • Sitemap
  • Identidad gráfica
Para continuar usando este sitio web, debe aceptar nuestras políticas.
Acepto las políticas del sitio y los términos de uso
Ver políticas