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

• Type: Article in International Scientific Journal
• Date: 2017

Authors

Mahmoudi, N (Author) Other; Shafie khah, M (Author) Other; Saha, TK (Author) Other; Catalao, JPS (Author) FEUP

Journal

Title: IET Renewable Power Generation

Vol. 11

Pages: 1200-1210

ISSN: 1752-1416

Publisher: Wiley-Blackwell

Indexing

ISI Web of Knowledge - 20 Citations

Scopus - 23 Citations

Other information

Authenticus ID: 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 11