Customer-driven demand response model for facilitating roof-top PV and wind power integration

• Tipo: Artigo em Revista Científica Internacional
• Data: 2017

Autores

Mahmoudi, N (Autor) Outra; Shafie khah, M (Autor) Outra; Saha, TK (Autor) Outra; Catalao, JPS (Autor) FEUP

Revista

Título: IET Renewable Power Generation

Vol. 11

Páginas: 1200-1210

ISSN: 1752-1416

Editora: Wiley-Blackwell

Indexação

ISI Web of Knowledge - 20 Citações

Scopus - 23 Citações

Outras Informações

ID Authenticus: P-00N-1VB

DOI: 10.1049/iet-rpg.2016.0752

Abstract (EN): Integrating wind and solar energy resources poses intermittency to power systems, which faces independent system operators with new technical and economic challenges. This study proposes a novel model to integrate the uncertainties of wind power on the supply side and roof-top solar photovoltaic (PV) on the demand side. To cope with their uncertainties, a demand response (DR) aggregator is proposed, which is enabled to participate in reserve markets. To this end, a new DR model is developed considering both customers' options to reduce and increase load through the DR aggregator. As such, besides improving the existing DR models (load shifting and curtailment), two DR programmes, i.e. load growth and load recovery, are mathematically modelled. Numerical studies indicate the effectiveness of the proposed model to reduce the total operation cost of the system and facilitate the integration of wind power and roof-top PV.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 11