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

Authors :
Mahmoudi, Nadali
Shafie‐khah, Miadreza
Saha, Tapan K.
Catalão, João P.S.
Source :
IET Renewable Power Generation (Wiley-Blackwell); Jul2017, Vol. 11 Issue 9, p1200-1210, 11p
Publication Year :
2017

Abstract

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
17521416
Volume :
11
Issue :
9
Database :
Complementary Index
Journal :
IET Renewable Power Generation (Wiley-Blackwell)
Publication Type :
Academic Journal
Accession number :
148146238
Full Text :
https://doi.org/10.1049/iet-rpg.2016.0752