DocumentCode
134747
Title
A new trading framework for demand response aggregators
Author
Mahmoudi, Nadali ; Saha, Tapan K. ; Eghbal, Mehdi
Author_Institution
Sch. of Inf. Technol. & Electr. Eng., Univ. of Queensland, Brisbane, QLD, Australia
fYear
2014
fDate
27-31 July 2014
Firstpage
1
Lastpage
5
Abstract
This paper proposes a new trading framework which allows demand response (DR) aggregators to procure DR from consumers and sell it to purchasers. The aggregator obtains DR from the proposed price and incentive-based DR programs. On the other side, the DR outcome is sold to purchasers through the proposed agreements, namely fixed DR contracts and DR options. The presented problem is formulated as a stochastic programming approach, where its feasibility is studied on a case of the Australian National Electricity Market (NEM).
Keywords
power markets; stochastic programming; Australian national electricity market; demand response aggregators; stochastic programming; trading framework; Australia; Contracts; Electricity; Electricity supply industry; Load management; Smart grids; Uncertainty; DR aggregator; DR options; Demand response; fixed DR agreements; reward-based DR; stochastic programming; time-of-use;
fLanguage
English
Publisher
ieee
Conference_Titel
PES General Meeting | Conference & Exposition, 2014 IEEE
Conference_Location
National Harbor, MD
Type
conf
DOI
10.1109/PESGM.2014.6938882
Filename
6938882
Link To Document