%0 Conference Proceedings
%T Optimal Participation of DR Aggregators in Day-Ahead Energy and Demand Response Exchange Markets
%+ Iran University of Science and Technology [Tehran] (IUST)
%+ University of Beira Interior [Portugal] (UBI)
%+ Instituto de Engenharia de Sistemas e Computadores, Investigação e Desenvolvimento em Lisboa (INESC-ID)
%+ University of Lisboa
%A Heydarian-Forushani, Ehsan
%A Shafie-Khah, Miadreza
%A Damavandi, Maziar, Yazdani
%A Catalão, João, S.
%Z Part 13: Optimization Issues in Energy - I
%< avec comité de lecture
%( IFIP Advances in Information and Communication Technology
%B 5th Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS)
%C Costa de Caparica, Portugal
%Y Luis M. Camarinha-Matos
%Y Nuno S. Barrento
%Y Ricardo Mendonça
%I Springer
%3 Technological Innovation for Collective Awareness Systems
%V AICT-423
%P 353-360
%8 2014-04-07
%D 2014
%R 10.1007/978-3-642-54734-8_39
%K CVaR
%K day-ahead market
%K demand response exchange
%K DR aggregator
%K energy market
%K intraday market
%Z Computer Science [cs]Conference papers
%X Aggregating the Demand Response (DR) is approved as an effective solution to improve the participation of consumers to wholesale electricity markets. DR aggregator can negotiate the amount of collected DR of their customers with transmission system operator, distributors, and retailers in Demand Response eXchange (DRX) market, in addition to participate in the energy market. In this paper, a framework has been proposed to optimize the participation of a DR aggregator in day-ahead energy and intraday DRX markets. In this regard, the DR aggregator optimizes its participation schedule and offering/bidding strategy in the mentioned markets according to behavior of its customers. For this purpose, the customers’ participation is modeled using a Supply Function Equilibrium (SFE) model. In addition, due to uncertainties of market prices and the behavior of consumers, an appropriate risk measurement, CVaR, is incorporated to the optimization problem. The numerical results show the effectiveness of the proposed framework.
%G English
%Z TC 5
%Z WG 5.5
%2 https://inria.hal.science/hal-01274797/document
%2 https://inria.hal.science/hal-01274797/file/978-3-642-54734-8_39_Chapter.pdf
%L hal-01274797
%U https://inria.hal.science/hal-01274797
%~ IFIP
%~ IFIP-AICT
%~ IFIP-TC
%~ IFIP-TC5
%~ IFIP-AICT-423
%~ IFIP-WG
%~ IFIP-WG5-5