AMI BASED SENSING ARCHITECTURE FOR SMART GRID IN IPV6 NETWORKS

Publications

Share / Export Citation / Email / Print / Text size:

International Journal on Smart Sensing and Intelligent Systems

Professor Subhas Chandra Mukhopadhyay

Exeley Inc. (New York)

Subject: Computational Science & Engineering , Engineering, Electrical & Electronic

GET ALERTS

eISSN: 1178-5608

DESCRIPTION

15
Reader(s)
55
Visit(s)
0
Comment(s)
0
Share(s)

VOLUME 9 , ISSUE 4 (December 2016) > List of articles

AMI BASED SENSING ARCHITECTURE FOR SMART GRID IN IPV6 NETWORKS

Wang Peng / Su Fei / Hu bohong / Luan wenpeng

Keywords : Smart grid, Advanced Metering Infrastructure, Sensing architecture, Monitoring, IPv6

Citation Information : International Journal on Smart Sensing and Intelligent Systems. Volume 9, Issue 4, Pages 2,111-2,130, DOI: https://doi.org/10.21307/ijssis-2017-955

License : (CC BY-NC-ND 4.0)

Received Date : 17-August-2016 / Accepted: 05-November-2016 / Published Online: 01-December-2016

ARTICLE

ABSTRACT

Advanced Metering Infrastructure (AMI) is a key part in the development of the smart grid, which integrates automatic meter reading, distribution automation, user data analysis, as well as real-time price adjustment functions. Existing AMI can offer good support for smart grid backbone. However, it still has some shortages when sensing the electric meter data acquisition, electric devices, and etc. Due to the vast number of meters, the use of IPv6 technology in AMI is an inevitable trend. Sensing architecture based on IPv6 can help AMI be aware of communication network topology and the access time of electrical devices, and calculate real-time electricity billing. Smart meter data is collected using cognitive architecture so that it would be more accurate and meaningful. In this paper, we firstly introduce the basic architecture of AMI, including master station system, smart meters and the key technologies of communication network. And then, for the existing AMI architecture, we analyze the current situation and challenges in the aspect of perception. Finally an AMI sensing architecture based on 6LowPAN and Mesh is proposed. Experiments show that the architecture can not only improve the accuracy of the meter data, but also sense the temporary access devices. As a result, the structure is feasible and could earn more commercial benifit.

Content not available PDF Share

FIGURES & TABLES

REFERENCES

[1] Y. Yan, Y. Qian, H. Sharif and D. Tipper, ―A Survey on Smart Grid Communications Infrastructures: Motivations, Requirements and Challenges‖, IEEE Communications Surveys and Tutorials, Vol. 15, No. 1, First Quarter, 2013, pp. 5-20.
[2] F. Rahimi and A. Ipakchi, ―Demand Response as a Market Resource under the Smart Grid Paradigm‖, IEEE Transactions on Smart Grid, Vol. 1, No. 1, June 2010, pp. 82-88.
[3] R. Yu, Y. Zhang, S. Gjessing, C. Yuen, S. Xie, M. Guizani, ―Cognitive radio based hierarchical communications infrastructure for smart grid‖, IEEE Network, Vol. 25, No.5, September-October 2011, pp. 6-14.
[4] S. Massoud Amin and B. F. Wollenberg, ―Toward a smart grid: power delivery for the 21st century‖, IEEE Power and Energy Mag., Vol. 3, 2005, pp. 34-41.
[5] Gharavi, Hamid, and B. Hu. ―Multigate Communication Network for Smart Grid‖, Proceedings of the IEEE, Vol. 99, No. 6, 2011, pp. 1028-1045.
[6] Chen, Shi-Jaw; Lin, and Chia-Hung, ―Integrating SVM Classifier and Distribution State Estimation for Detection and Identification of AMI Customer's Meter Data‖, 2013 IEEE 37th Annual International Conference on Computer Software and Applications Conference (COMPSAC), Vol. 278, No. 279, July 2013, pp. 22-26,.
[7] 7Jiazhen Zhou, Hu, R.Q., and Yi Qian, ―Scalable Distributed Communication Architectures to Support Advanced Metering Infrastructure in Smart Grid‖, IEEE Transactions on Parallel and Distributed Systems, Vol.23, No.9, September 2012, pp. 1632-1642.
[8] Khan, R.H., Khan, J.Y., ―A heterogeneous WiMAX-WLAN network for AMI communications in the smart grid‖, 2012 IEEE Third International Conference on Smart Grid Communications (SmartGridComm), Vol. 710, No.715, November 2012, pp. 5-8.
[9] Cheng Ho-Chih, Chiu, and Min-Chie,―PC-based wireless and remote control for shape judgment equipment using a zigbee module‖, International Journal on Smart Sensing and Intelligent Systems, Vol. 7, No. 3,2014, pp. 1378-1400.
[10] D. Bian, M. Kuzlu, M. Pipattanasomporn, S. Rahmanl, ―Analysis of communication schemes for Advanced Metering Infrastructure (AMI)‖, 2014 IEEE Conference on PES General Meeting | Conference & Exposition, 2014, pp.1 - 5.
[11] Bhatia, Rajiv K., and V. Bodade, ―Defining the framework for wireless-AMI security in smart grid‖, 2014 International Conference on Green Computing Communication and Electrical Engineering (ICGCCEE), 2014, pp. 1-5.
[12] Z. Wan, G. Wang, Y. Yang, and S. Shi. ―SKM: Scalable Key Management for Advanced Metering Infrastructure in Smart Grids‖, IEEE Transactions on Industrial Electronics, Vol. 61, No. 61, 2014, pp. 7055-7066.
[13] Lo, Chun Hao, and N. Ansari. ―The Progressive Smart Grid System from Both Power and Communications Aspects‖, IEEE Communications Surveys & Tutorials, Vol. 14, No. 3, 2012, pp. 799-821.
[14] K. Yu, M. Arifuzzaman, Z. Wen, D. Zhang, and T. Sato. ―A Key Management Scheme for Secure Communications of Information Centric Advanced Metering Infrastructure in Smart Grid‖, IEEE Transactions on Instrumentation & Measurement, Vol. 64, No. 8, 2014, pp. 2072-2085.
[15] K Yu, L Zhu, Z Wen, A Mohammad, Z Zhou, and T. Sato, ―CCN-AMI: Performance evaluation of content-centric networking approach for advanced metering infrastructure in smart grid‖, 2014 IEEE International Workshop on Applied Measurements for Power Systems Proceedings (AMPS), 2014, pp:1-6.
[16] Chi, Kuang Hui, et al. ―Fast Handoff in Secure IEEE 802.11s Mesh Networks‖, IEEE Transactions on Vehicular Technology, Vol. 60, No. 1, 2011, pp. 219-232.
[17] A. Ghassemi, S. Bavarian, and L. Lampe, ―Cognitive Radio for Smart Grid Communications‖, 2010 First IEEE International Conference on Smart Grid Communications (SmartGridComm), 2010, pp.297-302.
[18] M. Thesing, ―Integrating electric meter data with distribution automation applications‖, 2012 IEEE PES Conference on Transmission and Distribution Conference and Exposition (T&D), 2012, pp. 1 - 6.
[19] Chen, Dong, J. Brown, and J. Y. Khan, ―6LoWPAN based Neighborhood Area Network for a smart grid communication infrastructure‖, 2013 Fifth International Conference on Ubiquitous and Future Networks (ICUFN), 2013, pp. 576-581.
[20] Chen, Dong, J. Brown, and J. Y. Khan, ―Performance analysis of a distributed 6LoWPAN network for the Smart Grid applications‖, 2014 Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), 2014, pp. 1-6.
[21] Zhao Jindong, Fan Baode, Lu Yunhong, and Mu Chunxiao, ―N Adaptive Channel Hopping Alogrithm for Wireless Sensor Network with Mesh Structure‖, International Journal on Smart Sensing and Intelligent Systems, Vol.3, No.1, 2011, pp. 377-395.
[22] A. Haidine, B. Adebisi, A. Treytl, H. Pille, B. Honary, and A. Portnoy, ―High-speed narrowband PLC in Smart Grid landscape — State-of-the-art‖, 2011 IEEE International Symposium on Power Line Communications and Its Applications (ISPLC), 2011, pp. 468-473.
[23] K. Razazian, A. Niktash, V. Loginov, and J. Yazdani, ―Enhanced 6LoWPAN Ad hoc routing for G3-PLC‖, 2013 17th IEEE International Symposium on Power Line Communications and Its Applications (ISPLC), 2013, pp. 137-142.
[24] Razazian, Kaveh, M. Umari, and A. Kamalizad, ―Error correction mechanism in the new G3-PLC specification for powerline communication‖, 2010 IEEE International Symposium on Power Line Communications and Its Applications (ISPLC), 2010, pp. 50-55.
[25] JM. Chang, TY. Chi, HY. Yang and HC. Chao. ―The 6LoWPAN ad-hoc on demand distance vector routing with multi-path scheme." Iet Digital Library, 2010, pp. 204-209.
[26] KM. Abdel-Latif, MM. Eissa, AS. Ali, OP. Malik, and ME. Masoud. ―Laboratory Investigation of Using Wi-Fi Protocol for Transmission Line Differential Protection‖, IEEE Transactions on Power Delivery, Vol. 24, No. 2009, 2009, pp. 1087-1094.
[27] V. Namboodiri, V. Aravinthan, SN. Mohapatra, B. Karimi, and W. Jewell. ―Toward a Secure Wireless-Based Home Area Network for Metering in Smart Grids‖, IEEE Systems Journal, Vol.8, No. 2, 2014, pp.509-520.
[28] Clausen, Thomas, U. Herberg, and M. Philipp. ―A critical evaluation of the IPv6 Routing Protocol for Low Power and Lossy Networks (RPL)‖, IEEE Intelligent Systems IEEE, 2011, pp. 365-372.
[29] F. M. Cleveland, ―Cyber security issues for Advanced Metering Infrastructure‖, Proc Power & Energy Society General Meeting Conversion & Delivery of Electrical Energy IEEE, Vol.97, No.4, 2008, pp. S1–S2.
[30] H. Khurana, M. Hadley, N. Lu, and D. Frincke, ―Smart-grid security issues,‖ IEEE Security Privacy, Vol. 8, No. 1, January- February 2010, pp. 81–85,.
[31] N. Li, N. Zhang, S. K. Das, and B. Thuraisingham, ―Privacy preservation in wireless sensor networks: A state-of-the-art survey‖, Ad Hoc Networks, Vol. 7, No. 8, 2009, pp. 1501–1514.
[32] H Hu, D Kaleshi, A Doufexi, and L Li, ―Performance Analysis of IEEE 802.11af Standard Based Neighbourhood Area Network for Smart Grid Applications‖, 2015 IEEE 81st International Conference on Vehicular Technology (VTC Spring), 2015.
[33] Bhunia Sumam Sankar, Roy Sarbani, and Mukherjee Nandini, ―Mobility of IP based wireless sensor nodes in sensor-grid infrastructure‖, International Journal on Smart Sensing and Intelligent Systems, Vol. 6, No. 5, December 2013, pp. 2075-2102.

EXTRA FILES

COMMENTS