%0 Generic %1 Vuppala2011 %A Vuppala, S.K. %A Padmanabh, K. %A Bose, S.K. %A Paul, S. %C Anaheim, CA %D 2011 %J IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT Europe %K Gridlab-D %R 10.1109/ISGT.2011.5759138 %T Incorporating fairness within demand response programs in smart grid %U http://www.scopus.com/inward/record.url?eid=2-s2.0-79957991708&partnerID=40&md5=2cd69a52494eb93cfc0150d4d5d21f67 %X Basic Demand response (DR) programs aim to modulate the demand of electricity in accordance with its supply. The existing DR programs have only been of limited success, though the participation has steadily increased in the recent past. This paper establishes the lack of fairness principles within the DR programs, as perceived by the customers to be one of the key deterrents. Fair DR (FDR) scheme criteria are defined and compared with existing pricing schemes. In this context, a simplified pricing model that takes into consideration fairness criteria for residential category is also proposed in this paper. The proposed pricing model is simulated in Gridlab-D and the results are compared with that of the flat and the price based pricing schemes. Initial results establish that our pricing scheme is fair, it flattens the demand curve over a day and provides a win-win situation for both - the customer and the utility company. Β© 2011 IEEE. %@ 9781612842189

@conference{Vuppala2011, abbrev_source_title = {IEEE PES Innov. Smart Grid Technol. Conf. Eur., ISGT Eur.,}, abstract = {Basic Demand response (DR) programs aim to modulate the demand of electricity in accordance with its supply. The existing DR programs have only been of limited success, though the participation has steadily increased in the recent past. This paper establishes the lack of fairness principles within the DR programs, as perceived by the customers to be one of the key deterrents. Fair DR (FDR) scheme criteria are defined and compared with existing pricing schemes. In this context, a simplified pricing model that takes into consideration fairness criteria for residential category is also proposed in this paper. The proposed pricing model is simulated in Gridlab-D and the results are compared with that of the flat and the price based pricing schemes. Initial results establish that our pricing scheme is fair, it flattens the demand curve over a day and provides a win-win situation for both - the customer and the utility company. Β© 2011 IEEE.}, added-at = {2012-04-28T15:29:41.000+0200}, address = {Anaheim, CA}, affiliation = {SETLabs., Infosys. Technologies Limited, Bangalore, India}, art_number = {5759138}, author = {Vuppala, S.K. and Padmanabh, K. and Bose, S.K. and Paul, S.}, author_keywords = {differential pricing; fair demand response; fairness in smart grid}, biburl = {https://www.bibsonomy.org/bibtex/2b4dc93f655b638feab9c19343de262b9/adnasiak}, correspondence_address = {Vuppala, S. K.; SETLabs., Infosys. Technologies Limited, Bangalore, India; email: sunil_vuppala@infosys.com}, description = {we need money}, document_type = {Conference Paper}, doi = {10.1109/ISGT.2011.5759138}, interhash = {100a0947a7f40beb837fc627b5a352a4}, intrahash = {b4dc93f655b638feab9c19343de262b9}, isbn = {9781612842189}, journal = {IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT Europe}, keywords = {Gridlab-D}, language = {English}, note = {cited By (since 1996) 0; Conference of 2011 IEEE PES Innovative Smart Grid Technologies, ISGT 2011; Conference Date: 17 January 2011 through 19 January 2011; Conference Code: 84888}, references = {Albadi, M.H., El-Saadany, E.F., Demand Response in Electricity Markets: An Overview IEEE Power Engineering Society General Meeting, 2007. 24-28 June 2007, pp. 1-5; James, G.C., Analytical methods for scientific demand response Universities Power Engineering Conference, AUPEC '08, Dec. 2008, pp. 1-4; Valero, S., Ortiz, M., Methods for customer and demand response policies selection in new electricity markets (2007) Generation, Transmission & Distribution, , IET, January; Black, J.W., De Bedout, J., Tyagi, R., Incorporating Demand Resources into Optimal Dispatch IEEE Energy 2030 Conference, Atlanta, GA, USA, 17-18 November 2008, pp. 1-8; Deconinck, G., Decroix, B., Smart Metering Tariff Schemes Combined with Distributed Energy Resources Fourth Int CRIS Conference on Critical Infrastructure, Sweden, Apr 2009; Kim, D.-H., Min, K.D., Kim, J.-O., Determination of the optimal incentives and amount of load reduction for a retailer to maximize profits considering Demand Response Programs 2nd IEEE Int. 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Electron., pp. 23-28. , Dec; Lien, C.H., Bai, Y.W., Lin, M.B., Remote-controllable power outlet system for home power management (2007) IEEE Transactions on Consumer Electronics, 53 (4), pp. 1634-1641. , Nov; Williams, E., Matthews, S., Breton, M., Brady, T., Use of a computer based system to measure and manage energy consumption in the home Proc. 2006 IEEE Int. Symp. Electron. Environment, May 2006, pp. 167-172; Faruqui, A., The Ethics of Dynamic Pricing (2010) The Electricity Journal, 23 (6), pp. 13-27. , July; Pedrasa, Spooner, MacGill, Coordinated Scheduling of Residential Distributed Energy Resources to Optimize Smart Home Energy Services (2010) IEEE Transactions on Smart Grid, 1 (2), pp. 134-143. , Sept}, source = {Scopus}, timestamp = {2012-04-28T15:40:05.000+0200}, title = {Incorporating fairness within demand response programs in smart grid}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-79957991708&partnerID=40&md5=2cd69a52494eb93cfc0150d4d5d21f67}, year = 2011 }