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A Challenging Demand Side Power Management through Smart Embedded Meter System

by Muhammad Naeem, Rao Kamran Khushnood, Sobia Arshad
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 106 - Number 17
Year of Publication: 2014
Authors: Muhammad Naeem, Rao Kamran Khushnood, Sobia Arshad
10.5120/18610-9560

Muhammad Naeem, Rao Kamran Khushnood, Sobia Arshad . A Challenging Demand Side Power Management through Smart Embedded Meter System. International Journal of Computer Applications. 106, 17 ( November 2014), 7-13. DOI=10.5120/18610-9560

@article{ 10.5120/18610-9560,
author = { Muhammad Naeem, Rao Kamran Khushnood, Sobia Arshad },
title = { A Challenging Demand Side Power Management through Smart Embedded Meter System },
journal = { International Journal of Computer Applications },
issue_date = { November 2014 },
volume = { 106 },
number = { 17 },
month = { November },
year = { 2014 },
issn = { 0975-8887 },
pages = { 7-13 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume106/number17/18610-9560/ },
doi = { 10.5120/18610-9560 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:39:38.170393+05:30
%A Muhammad Naeem
%A Rao Kamran Khushnood
%A Sobia Arshad
%T A Challenging Demand Side Power Management through Smart Embedded Meter System
%J International Journal of Computer Applications
%@ 0975-8887
%V 106
%N 17
%P 7-13
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

A typical smart meter is more than a traditional meter which calculates the real time consumption of electricity and also generates the electricity bill. The smart grids are developed at the back end to support the smart meter. Smart grid makes electricity delivery system more flexible, intelligent, smart, reliable and economical. A variety of technologies are available to make a grid station as smart like smart meter, electric vehicles EVs, energy storage etc. To change a smart grid from concept to reality, it needs a collaboration, integration and interoperability between a sequence of resources like generation, transmission, distribution, communication, consumer markets and service providers. The motivation of this problem is to introduce the mechanism for load management that will be acceptable and easily adopted. The proposed smart embedded meter system will calculate the final consumer load. In case of violation it will ask to set high priority appliance.

References
  1. Hashmi, M. , Hänninen, S. , and Mäki, K. 2011. Survey of Smart Grid Concepts, Architectures and Technological Demonstrations Worldwide.
  2. Budka, k. , Jayant, D. , John, H. , Choi, J. I. , Junhee, H. , and Jinho, K. 2010. Smart Grid Research Focus: Economic Modeling, Networking, and Security & Privacy, Gachon Energy Research Institute, Kyungwon University, KOREA.
  3. Louie, H. , Burns M. , and Lima, C. 2010. An Introduction and User's Guide to the IEEE Smart Grid Web Portal.
  4. Ruihua, Z. , Yumei, D. , Yuhong, L. 2010. New Challenges to Power System Planning and Operation of Smart Grid Development in China.
  5. Bao-shu, L. , Wan-kun, C. , Yu-min, G. 2012. Release System of Real-Time-Price Oriented to Smart Meters.
  6. Wang, P. , Huang, J. Y. , Ding, Y. , and Goel, L. 2010. Demand Side Load Management of Smart Grids Using Intelligent Trading/Metering/ Billing System. Nanyang Technological University, Singapore.
  7. Kang, M. S. , and Sheng, J. 2011. Implementation of Smart Loading Monitoring and Control System with ZigBee Wireless Network.
  8. Shamsi, P. and Fahimi, B. 2011. Remote Control of Smart Appliances Using MPEI, Spain.
  9. Dissanayaka, D. M. L. B. , Fernando C. T. J. , and Abeyratne S. G. 2011. Smart Meter Based Inverter Controlling Network for Demand Response Applications in Smart Grids. ICIIS, Sri Lanka.
  10. Tang, G. Q. 2011. Smart Grid Management & Visualization Smart Power Management System, Canada.
  11. Lu, X. , Lu, Z. , Wang, W. and Ma, J. 2011. On Network Performance Evaluation toward the Smart Grid: A Case Study of DNP3 over TCP/IP.
  12. Lowe, D. 2012. How to Use Relays to Control Electronic Line-Voltage Circuits, http://www. dummies. com/how-to/content/how-to-use-relays-to-control-electronic-linevoltag. html.
  13. http://www. allaboutcircuits. com/vol_4/chpt_5/4. html, 2014. Protective Relays.
  14. Mitra, S. 2011. "Wireless sensor network", Calcutta Institute of Engineering and Management, India.
  15. Thusiast, W. S. N. 2008. "Wireless Sensor Network Devices", http://wirelessm2m. blogspot. in/2008/01/wireless-sensor-network-devices. html.
  16. http://www. sensornets. csiro. au/content/equipment/fleck-nano. Fleck Nano.
  17. Gerwen, R. V. , Jaarsma, S. , and Wilhite, R. 2006,"Smart Metering", KEMA, The Netherlands.
  18. Mahmood, A. , Ullah, M. N. , Razzaq, S. , Naeem, M. , Javaid, N. 2014. "A New Scheme for Demand Side Management in Future Smart Grid Networks", Procedia Computer Science, vol. 32, pp. 477-484.
  19. Papageorgas, P. , Piromalis, D. , Iliopoulou, T. , Agavanakis, K. , Barbarosou, M. Prekas, K. , Antonakoglou, K. 2014. Wireless Sensor Networking architecture of Polytropon: "An open source scalable platform for the smart grid", Energy Procedia, vol. 50.
  20. Kim, W. H. , Lee, S. , Hwang, J. 2011. "Real-time Energy Monitring and Controlling System based on Zigbee Sensor Networks", Procedia Computer Science, vol. 5, pp 222-225.
  21. Gante, A. D. Siller, M. 2013. " A Survey of Hybrid Schemes for Location Estimation in Wireless Sensor Networks", Procedia Technology, vol. 7.
Index Terms

Computer Science
Information Sciences

Keywords

Smart Meter Smart Grid Communication Technologies Physical Grid Smart Power Management Smart Home Consumer Real time Response and Protocols

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