Abstract : 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.
Luis M. Camarinha-Matos; Nuno S. Barrento; Ricardo Mendonça. 5th Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS), Apr 2014, Costa de Caparica, Portugal. Springer, IFIP Advances in Information and Communication Technology, AICT-423, pp.353-360, 2014, Technological Innovation for Collective Awareness Systems. 〈10.1007/978-3-642-54734-8_39〉
https://hal.inria.fr/hal-01274797
Contributeur : Hal Ifip
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Soumis le : mardi 16 février 2016 - 11:24:47
Dernière modification le : jeudi 12 mai 2016 - 10:38:23
Document(s) archivé(s) le : samedi 12 novembre 2016 - 22:20:18
Ehsan Heydarian-Forushani, Miadreza Shafie-Khah, Maziar Damavandi, João Catalão. Optimal Participation of DR Aggregators in Day-Ahead Energy and Demand Response Exchange Markets. Luis M. Camarinha-Matos; Nuno S. Barrento; Ricardo Mendonça. 5th Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS), Apr 2014, Costa de Caparica, Portugal. Springer, IFIP Advances in Information and Communication Technology, AICT-423, pp.353-360, 2014, Technological Innovation for Collective Awareness Systems. 〈10.1007/978-3-642-54734-8_39〉. 〈hal-01274797〉
