- Volume 10 Issue 1
DOI QR Code
The Consumer Rationality Assumption in Incentive Based Demand Response Program via Reduction Bidding
- Babar, Muhammad ;
- Imthias Ahamed, T.P. ;
- Alammar, Essam A.
- Received : 2013.06.04
- Accepted : 2014.09.04
- Published : 2015.01.01
Because of the burgeoning demand of the energy, the countries are finding sustainable solutions for these emerging challenges. Demand Side Management is playing a significant role in managing the demand with an aim to support the electrical grid during the peak hours. However, advancement in controls and communication technologies, the aggregators are appearing as a third party entity in implementing demand response program. In this paper, a detailed mathematical framework is discussed in which the aggregator acts as an energy service provider between the utility and the consumers, and facilitate the consumers to actively participate in demand side management by introducing the new concept of demand reduction bidding (DRB) under constrained direct load control. Paper also presented an algorithm for the proposed framework and demonstrated the efficacy of the algorithm by considering few case studies and concluded with simulation results and discussions.
Aggregator;Demand side management;Direct load control;Dynamic bidding;Dynamic programming
- K. Huang and Y. Huang, “Integrating direct load control with interruptible load management to provide instantaneous reserves for ancillary services,” IEEE Transactions on Power Systems, vol. 19, no. 3, pp. 1626-1634, 2004. https://doi.org/10.1109/TPWRS.2004.831705
“Aggregator managed portfolio (amp) program, pacific gas and electric company.” [Online]. Available:
http://www.pge.com/mybusiness /energysaving srebates/demandresponse/amp/
- H. Salehfar, P. Noll, B. LaMeres, M. Nehrir, and V. Gerez, “Fuzzy logic-based direct load control of residential electric water heaters and air conditioners recognizing customer preferences in a deregulated environment,” in IEEE Power Engineering Society Summer Meeting, 1999., vol. 2. IEEE, 1999, pp. 1055-1060.
- H. Jorge, C. Antunes, and A. Martins, “A multiple objective decision support model for the selection of remote load control strategies,” IEEE Transactions on Power Systems, vol. 15, no. 2, pp. 865-872, 2000. https://doi.org/10.1109/59.867186
- I. Cobelo, “Active control of distribution networks,” Ph.D. dissertation, The University of Manchester, 2005.
- J. Torriti, M. G. Hassan, and M. Leach, “Demand response experience in europe: Policies, programmes and implementation,” Energy, vol. 35, no. 4, pp. 1575-1583, 2010. https://doi.org/10.1016/j.energy.2009.05.021
- M. Babar, I. Ahmed, A. Shah, S. Al Ghannam, E. AlAmmar, N. Malik, and F. Pazehri, “An algorithm for load curtailment in aggregated demand response program,” in 2012 IEEE PES Conference on Innovative Smart Grid Technologies-Middle East (ISGT Middle East). IEEE, 2012.
- M. Babar, T. Imthias Ahamed, E. A. Al-Ammar, and A. Shah, “A novel algorithm for demand reduction bid based incentive program in direct load control,” Energy Procedia, vol. 42, pp. 607-613, 2013. https://doi.org/10.1016/j.egypro.2013.11.062
- T. Ericson, “Direct load control of residential water heaters,” Energy Policy, vol. 37, no. 9, pp. 3502-3512, 2009. https://doi.org/10.1016/j.enpol.2009.03.063
- D. S. Kirschen, “Demand-side view of electricity markets,” Power Systems, IEEE Transactions on, vol. 18, no. 2, pp. 520-527, 2003. https://doi.org/10.1109/TPWRS.2003.810692
- B. F. Hobbs, H. Rouse, and D. T. Hoog, “Measuring the economic value of demand-side and supply resources in integrated resource planning models,” Power Systems, IEEE Transactions on, vol. 8, no. 3, pp. 979-987, 1993. https://doi.org/10.1109/59.260903
- A. Brooks, E. Lu, D. Reicher, C. Spirakis, and B. Weihl, “Demand dispatch,” IEEE Power and Energy Magazine,, vol. 8, no. 3, pp. 20-29, 2010.
- M. Babar, T.A. Taj, T.I. Ahamed, and E.A. AlAmmar, “The conception of the aggregator in demand side management for domestic consumers,” 2013.
- M. Babar, T.A. Taj, T.I. Ahamed, and I. Ijaz, “Design of a framework for the aggregator using demand reduction bid (drb),” Journal of Energy Technologies and Policy, vol. 4, no. 1, pp. 1-7, 2014.
- P. Samadi, H. Mohsenian-Rad, R. Schober, and V. Wong, “Advanced demand side management for the future smart grid using mechanism design,” IEEE Transactions on Smart Grid, vol. 3, no. 3, pp. 1170-1180, 2012. https://doi.org/10.1109/TSG.2012.2203341
- R. Yu, W. Yang, and S. Rahardja, “Optimal real-time price based on a statistical demand elasticity model of electricity,” in First International Workshop on Smart Grid Modeling and Simulation (SGMS), 2011 IEEE. IEEE, 2011, pp. 90-95.
- C. Puckette, G. Saulnier, R. Korkosz, and J. Hershey, “Ghm aggregator,” Feb. 12 2002, uS Patent 6,346,875.
- S. Amin, “For the good of the grid,” IEEE Power and Energy Magazine, vol. 6, no. 6, pp. 48-59, 2008. https://doi.org/10.1109/MPE.2008.929745
“Us department of energy - smart grid.” [Online]. Available:
- B. Kirby, Spinning reserve from responsive loads. Department of Energy-United States. 2003.
- M. Albadi and E. El-Saadany, “A summary of demand response in electricity markets,” Electric Power Systems Research, vol. 78, no. 11, pp. 1989-1996, 2008. https://doi.org/10.1016/j.epsr.2008.04.002
- Demand Response Unit Commitment Problem Solution for Maximizing Generating Companies’ Profit vol.10, pp.10, 2017, https://doi.org/10.3390/en10101465
- Conceptual framework for introducing incentive-based demand response programs for retail electricity markets vol.19, 2018, https://doi.org/10.1016/j.esr.2017.12.001