Demand Response Application by Strategic Wind Power Producers

Mahmoudi, Nadali, Saha, Tapan K. and Eghbal, Mehdi (2015) Demand Response Application by Strategic Wind Power Producers. IEEE Transactions On Power Systems, 31 99: 1227-1237. doi:10.1109/TPWRS.2015.2424409


Author Mahmoudi, Nadali
Saha, Tapan K.
Eghbal, Mehdi
Title Demand Response Application by Strategic Wind Power Producers
Journal name IEEE Transactions On Power Systems   Check publisher's open access policy
ISSN 0885-8950
1558-0679
Publication date 2015-04-12
Year available 2015
Sub-type Article (original research)
DOI 10.1109/TPWRS.2015.2424409
Open Access Status
Volume 31
Issue 99
Start page 1227
End page 1237
Total pages 11
Place of publication Piscataway, NJ United States
Publisher Institute of Electrical and Electronics Engineers
Collection year 2016
Language eng
Formatted abstract
This paper considers a wind power producer playing strategically in a day-ahead market while willing to set demand response (DR) contracts with a DR aggregator. To this end, a bilevel problem including a single leader and two followers is formulated. The wind power producer is the leader aiming at maximizing its profit through offering into a day-ahead market and clearing its deviation in a balancing market. The strategic behavior of the producer in the day-ahead market is modeled through the market clearing process (follower 1). In addition, the DR aggregator behavior is modeled through a revenue function in which the aggregator is able to sell its DR product to the wind power producer, other competitors and the day-ahead market (follower 2). The overall problem is a stochastic mathematical program with equilibrium constraints (MPEC) in which wind power production and imbalance prices are associated with uncertainty. The problem is then transformed into a linear programming approach. A case of the Nordic market is chosen to assess the validity of the given problem.
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2016 Collection
School of Information Technology and Electrical Engineering Publications
 
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Created: Fri, 29 May 2015, 11:49:45 EST by Nadali Mahmoudi on behalf of School of Information Technol and Elec Engineering