Impacts of load reduction offers on load profile

Demand Response (DR) has gained so much importance due to its effect on load profile characteristics. The focus of this paper is on impacts of flexible load participation in day-ahead energy market, in which bulk power consumers introduce their load reduction as generation. Based on costumer's characteristics, a model is developed for the demand side participation in aforementioned program. Effects of demand side cooperation and various incentive policies on load profile have been surveyed by the help of the proposed model. Moreover, results were compared for several cases in order to prioritize various strategies.

[1]  C. Senabre,et al.  Methods for customer and demand response policies selection in new electricity markets , 2007 .

[2]  Juan M. Morales,et al.  Real-Time Demand Response Model , 2010, IEEE Transactions on Smart Grid.

[3]  A. Yousefi,et al.  A probabilistic risk-based approach for spinning reserve provision using day-ahead demand response program , 2010 .

[4]  Javad Mohammadi,et al.  Using responsive loads as a tool for congestion management and system loss reduction , 2010, 2010 IEEE International Energy Conference.

[5]  M. P. Moghaddam,et al.  Demand response modeling considering Interruptible/Curtailable loads and capacity market programs , 2010 .

[6]  D. J. Lawrence 2001 performance of New York ISO demand response programs , 2002, 2002 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.02CH37309).

[7]  Z.C. Pan,et al.  Detection and Location of Ground Faults Using a Discernible Signal , 2005, 2005 IEEE/PES Transmission & Distribution Conference & Exposition: Asia and Pacific.

[8]  Lin Niu,et al.  Day-ahead Generation Scheduling with Demand Response , 2005, 2005 IEEE/PES Transmission & Distribution Conference & Exposition: Asia and Pacific.

[9]  Javad Mohammadi,et al.  Demand bidding/buyback modeling and its impact on market clearing price , 2010, 2010 IEEE International Energy Conference.

[10]  M. Parsa Moghaddam,et al.  Modeling and prioritizing demand response programs in power markets , 2010 .