Open AccessCustomer‐driven demand response model for facilitating roof‐top PV and wind power integration
Author(s) -
Mahmoudi Nadali,
Shafiekhah Miadreza,
Saha Tapan K.,
Catalão João P.S.
Publication year - 2017
Publication title -
iet renewable power generation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.005
H-Index - 76
eISSN - 1752-1424
pISSN - 1752-1416
DOI - 10.1049/iet-rpg.2016.0752
Subject(s) - demand response , intermittency , photovoltaic system , wind power , roof , news aggregator , computer science , electric power system , load management , automotive engineering , power (physics) , engineering , electricity , electrical engineering , meteorology , civil engineering , turbulence , physics , quantum mechanics , operating system
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.