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Issue No.09 - Sept. (2012 vol.23)
pp: 1632-1642
Jiazhen Zhou , University of Nebraska - Lincoln, Omaha
Rose Qingyang Hu , Utah State Uiversity, Logan
Yi Qian , University of Nebraska - Lincoln, Omaha
ABSTRACT
In this paper, we investigate the scalability of three communication architectures for advanced metering infrastructure (AMI) in smart grid. AMI in smart grid is a typical cyber-physical system (CPS) example, in which large amount of data from hundreds of thousands of smart meters are collected and processed through an AMI communication infrastructure. Scalability is one of the most important issues for the AMI deployment in smart grid. In this study, we introduce a new performance metric, accumulated bandwidth-distance product (ABDP), to represent the total communication resource usages. For each distributed communication architecture, we formulate an optimization problem and obtain the solutions for minimizing the total cost of the system that considers both the ABDP and the deployment cost of the meter data management system (MDMS). The simulation results indicate the significant benefits of the distributed communication architectures over the traditional centralized one. More importantly, we analyze the scalability of the total cost of the communication system (including MDMS) with regard to the traffic load on the smart meters for both the centralized and the distributed communication architectures. Through the closed form expressions obtained in our analysis, we demonstrate that the total cost for the centralized architecture scales linearly as O(\lambda N), with N being the number of smart meters, and \lambda being the average traffic rate on a smart meter. In contrast, the total cost for the fully distributed communication architecture is O(\lambda^{2\over 3} N^{2\over 3} ), which is significantly lower.
INDEX TERMS
Smart grids, Scalability, Computer architecture, Servers, Distributed databases, Internet, Measurement, meter data management system (MDMS), Smart grids, Scalability, Computer architecture, Servers, Distributed databases, Internet, Measurement, facility location problem., Scalability, smart grid, advanced metering infrastructure (AMI)
CITATION
Jiazhen Zhou, Rose Qingyang Hu, Yi Qian, "Scalable Distributed Communication Architectures to Support Advanced Metering Infrastructure in Smart Grid", IEEE Transactions on Parallel & Distributed Systems, vol.23, no. 9, pp. 1632-1642, Sept. 2012, doi:10.1109/TPDS.2012.53
REFERENCES
[1] US Dept. of Energy, National Energy Technology Laboratory, "A Vision for the Modern Grid," 2007.
[2] US Dept. of Energy, Office of Electricity Delivery and Energy Reliability, "Advanced Metering Infrastructure," 2008.
[3] M. Satyanarayanan, "Pervasive Computing: Vision and Challenges," IEEE Personal Comm., vol. 8, no. 4, pp. 10-17, Aug. 2001.
[4] Wikipedia, http://en.wikipedia.org/wikiFiber-optic_ communication , 2012.
[5] Wikipedia, http://en.wikipedia.org/wikiScalability, 2012.
[6] M. Hill, "What is Scalability?," ACM SIGARCH Computer Architecture News, vol. 18, no. 4, pp. 18-21, Dec. 1990.
[7] P. Jogalekar and M. Woodside, "Evaluating the Scalability of Distributed Systems," IEEE Trans. Parallel And Distributed Systems, vol. 11, no. 6, pp.589-603, June 2000.
[8] http://www.smartgridnews.com/artman/publish/ News_ Blogs_NewsThe-Coming-Smart-Grid-Data-Surge-1247.html , 2012.
[9] F. Zavoda, "Advanced Distribution Automation (ADA) Applications and Power Quality in Smart Grids," Proc. China Int'l Conf. Electricity Distribution (CICED), 2010.
[10] H. Tram, "Technical and Operation Considerations in Using Smart Metering for Outage Management," Proc. IEEE/PES Transmission and Distribution Conf. and Exposition, 2008.
[11] M. Arenas-Martinez, S. Herrero-Lopez, A. Sanchez, J. Williams, P. Roth, P. Hofmann, A. Zeier, and A., "A Comparative Study of Data Storage and Processing Architectures for the Smart Grid," Proc. IEEE First Int'l Conf. Smart Grid Comm., pp. 285-290, 2010.
[12] S. Rusitschka, K. Eger, and C. Gerdes, "Smart Grid Data Cloud: A Model for Utilizing Cloud Computing in the Smart Grid Domain," Proc. IEEE First Int'l Conf. Smart Grid Comm., pp. 483-488, 2010.
[13] K. Birman, L. Ganesh, and R. Renesse, "Running Smart Grid Control Software on Cloud Computing Architectures," Proc. Workshop Computational Needs for the Next Generation Electric Grid, Apr. 2011.
[14] M. Pathan and R. Buyya, "A Taxonomy and Survey of Content Delivery Networks," Technical Report GRIDS-TR-2007-4, The Univ. of Melbourne, 2007.
[15] E. Lua, J. Crowcroft, M. Pias, R. Sharma, and S. Lim, "A Survey and Comparison of Peer-to-Peer Overlay Network Schemes," IEEE Comm. Surveys and Tutorials, vol. 7, no. 2, pp. 72-93, Apr.-June 2005.
[16] I. Stoica, R. Morris, D. Karger, F. Kaashoek, and H. Balakrishnan, "Chord: A Scalable Peer-To-Peer Lookup Service for Internet Applications," Proc. ACM SIGCOMM, 2001.
[17] J. Luo, Q. Zhang, Y. Tang, and S. Yang, "A Trace-Driven Approach to Evaluate the Scalability of P2P-Based Video-on-Demand Service," IEEE Trans. Parallel and Distributed Systems, vol. 20, no. 1, pp. 59-70, Jan. 2009.
[18] G. Dan and V. Fodor, "Delay Asymptotics and Scalability for Peer-to-Peer Live Streaming," IEEE Trans. Parallel and Distributed Systems, vol. 20, no. 10, pp. 1499-1511, Oct. 2009.
[19] L. Qiu, V.N. Padmanabhan, and G.M. Voelker, "On the Placement of Web Server Replicas," Proc. IEEE INFOCOM, pp. 1587-1596, 2001.
[20] S. Jamin, C. Jin, Y. Jin, D. Raz, Y. Shavitt, and L. Zhang, "On the Placement of Internet Instrumentation," Proc. IEEE INFOCOM, pp. 295-304, 2000.
[21] A. Kuehn and M. Hamburger, "A Heuristic Program for Locating Warehouses," Management Science, vol. 9, no. 4, pp. 643-666, July 1963.
[22] M. Charikar and S. Guha, "Improved Combinatorial Algorithms for Facility Location and k-Median Problems," Proc. IEEE 40th Ann. Symp. Foundations of Computer Science, pp. 378-388, 1999.
[23] C. Gerdes, U. Bartlang, and J. Muller, "Vertical Information Integration for Cross Enterprise Business Processes in the Energy Domain," Proc. Agent-Based Technologies and Applications for Enterprise Interoperability, vol. 25, pp. 1-28, 2009.
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