Extending IEC 61968 to Support Wide Area Demand Response Program

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Demand response provides many benefits in financial and operational aspects for the power user, load management unit and the grid operator. In this paper, we have extended the traditional specification in distribution system automation IEC 61968 to support further demand response service. There are some basic modules and packets have been defined to update traditional metering device, and also the newly added controlled object have been involved. At last, we have take time of use price to illustrate the performance of a wide area demand system by integrating a new controlling algorithm and the results show that it can significantly improve the performance of electricity devices in a home area network.

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1337-1342

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December 2014

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© 2015 Trans Tech Publications Ltd. All Rights Reserved

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[1] J. A. Martinez, V. Dinavahi, M. H. Nehrir, and X. Guillaud, Tools for analysis and design of distributed resources-Part IV: Future trends, IEEE Trans. Power Del., vol. 26, no. 3, p.1671–1680, Jul. (2011).

DOI: 10.1109/tpwrd.2011.2116047

Google Scholar

[2] Yu Gu, Dongsheng Wang, and Chuanyi Liu, DR-Cloud: Multi-Cloud Based Disaster Recovery Service, Tsinghua Science and Technology, vol. 19, no. 1, pp.1-3,Feb. (2014).

DOI: 10.1109/tst.2014.6733204

Google Scholar

[3] Shuhui Li, Dong Zhang, Developing smart and real-time demand response mechanism for residential energy consumers , , Power Systems Conference (PSC), 2014 Clemson University, pp.1-5, Mar. (2014).

DOI: 10.1109/psc.2014.6808101

Google Scholar

[4] Duy Thanh Nguyen, Negnevitsky, M. ; de Groot, M. Pool-Based Demand Response Exchange-Concept and Modeling , IEEE Trans. Power Systems, vol. 26, no. 3, pp.1677-1685, Aug. (2011).

DOI: 10.1109/tpwrs.2010.2095890

Google Scholar

[5] Johal, H. , Anaparthi, K. , Black, J., Demand response as a strategy to support grid operation in different time scales , Energy Conversion Congress and Exposition (ECCE), 2012 IEEE , pp.1461-1467, Sept. (2012).

DOI: 10.1109/ecce.2012.6342642

Google Scholar

[6] Yunfei Wang , Pordanjani, I.R. , Wilsun Xu, An Event-Driven Demand Response Scheme for Power System Security Enhancement, IEEE Trans. Smart Grid, vol. 2, no. 1, pp.23-29, March (2011).

DOI: 10.1109/tsg.2011.2105287

Google Scholar

[7] M. Roozbehani, M. Dahleh, and S. Mitter, Dynamic pricing and stabilization of supply and demand in modern electric power grids, in Proc. IEEE Int. Conf. Smart Grid Commun., Vancouver, BC, Canada, 2010, p.543–548.

DOI: 10.1109/smartgrid.2010.5621994

Google Scholar

[8] Ma, O. , Alkadi, N. , Cappers, P. et al, Demand Response for Ancillary Services, IEEE Trans. Smart Grid, vol. 4, no. 4, pp.1988-1995, Dec. (2013).

Google Scholar

[9] Qun Zhou, Wei Guan, Wei Sun, Impact of demand response contracts on load forecasting in a smart grid environment , Power and Energy Society General Meeting, 2012 IEEE, pp.1-4, July (2012).

DOI: 10.1109/pesgm.2012.6345079

Google Scholar

[10] Samarakoon,K., Ekanayake,J., Jenkins,N., Reporting Available Demand Response, IEEE Trans. Smart Grid, vol. 4, no. 4, pp.1842-1851, Dec. (2013).

DOI: 10.1109/tsg.2013.2258045

Google Scholar

[11] Duy Thanh Nguyen, Negnevitsky, M., de Groot, M. , Market-Based Demand Response Scheduling in a Deregulated Environment , IEEE Trans. Smart Grid, vol. 4, no. 4, pp.1948-1956, Dec. (2013).

DOI: 10.1109/tsg.2013.2258410

Google Scholar

[12] Faria, P., Vale, Z., Morais, H., Study of distribution network demand response events in the Portuguese system , , Power and Energy Society General Meeting, 2012 IEEE , pp.1-8, July (2012).

DOI: 10.1109/pesgm.2012.6344623

Google Scholar

[13] Chen Chen, Jianhui Wang, Kishore, S., A Distributed Direct Load Control Approach for Large-Scale Residential Demand Response , IEEE Trans. Power Systems, vol. 29, no. 5, pp.2219-2228, Sept. (2014).

DOI: 10.1109/tpwrs.2014.2307474

Google Scholar

[14] Hongwei Li, Xiaodong Lin, Haomiao Yang, EPPDR: An Efficient Privacy-Preserving Demand Response Scheme with Adaptive Key Evolution in Smart Grid , EEE Trans. Parallel and Distributed Systems, vol. 25, no. 8, pp.2053-2064, Aug. (2014).

DOI: 10.1109/tpds.2013.124

Google Scholar

[15] Faria, P., Vale, Z., Soares, J., Ferreira, J. , Demand Response Management in Power Systems Using Particle Swarm Optimization , EEE Trans. Intelligent Systems, vol. 28, no. 4, pp.43-51, July-Aug. (2013).

DOI: 10.1109/mis.2011.35

Google Scholar

[16] Vlachos, A.G. ; Biskas, P.N., Demand Response in a Real-Time Balancing Market Clearing With Pay-As-Bid Pricing , IEEE Trans. Smart Grid, vol. 4, no. 4, pp.1966-1975, Dec. (2013).

DOI: 10.1109/tsg.2013.2256805

Google Scholar

[17] Luh, P.B., Michel, L.D., Friedland, P. , Load forecasting and demand response , Power and Energy Society General Meeting, 2010 IEEE , pp.1-3, July (2010).

DOI: 10.1109/pes.2010.5590062

Google Scholar