Open Access Journal

ISSN : 2394 - 6849 (Online)

International Journal of Engineering Research in Electronics and Communication Engineering(IJERECE)

Monthly Journal for Electronics and Communication Engineering

Open Access Journal

International Journal of Engineering Research in Electronics and Communication Engineering(IJERECE)

Monthly Journal for Electronics and Communication Engineering

ISSN : 2394-6849 (Online)

Implementation of Demand-Side Energy Monitoring on TOD Basis Using Lab view

Author : Mahek Insha Tarannum 1 S. A. Shaikh 2

Date of Publication :22nd February 2018

Abstract: Electricity is very essential for economic growth of country and growth is linked to the energy availability. The gap between demand and the supply is rapidly increasing. For Monitoring the quantity of energy used at specific times to reduce system peak demand, load leveling, balance system supply and demand, Energy efficiency, and to reduce overall system demand. This paper basically describes the demand-side energy monitoring on TOD basis using LabVIEW. In this paper, LabVIEW uses the concept of Time of Day (TOD) metering to check the usage of electricity and the time of use. Demand Side Energy Monitoring system measure which is used as a means of incentivizing consumers to shift a portion of their loads from peak times to off-peak times, thereby improving the system load factor by reducing the demand on the system during the peak period

Reference :

    1. Prashanth B.U.V, “Design and Implementation of wireless energy meter system for monitoring the single phase supply,” International Journal of Computer Application., vol. 41, no. 2, March 2012.
    2. K. S. K. Weranga, D. P. Chandima and S. P. Kumarawadu, Smart Metering for Next Generation Energy Efficiency & Conservation, Proce. IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia), Tianjin, May, 2012, 1-8.
    3. Affonso, C. M., Silva, L. C. P., & Freitas, W. (n.d.). Demand-Side Management to Improve Power System Security, 1–6.
    4. Sheikhi, A., Rayati, M., Bahrami, S., & Ranjbar, A. M. (2015). Integrated Demand Side Management Game in Smart Energy Hubs, 6(2), 675–683.
    5. Samadi, P., Member, S., Mohsenian-rad, H., Schober, R., Wong, V. W. S., & Member, S. (2012). Advanced Demand Side Management for the Future Smart Grid Using Mechanism Design, 3(3), 1170–1180.
    6. Gupta, B.R.,”Generation of electrical energy”, 2nd edition, Ch: 21, S. Chand, 2007.
    7. O. H. Kesav and B. A. Rahim, Automated Wireless Meter Reading System for Monitoring and Controlling Power Consumption, International Journal of Al-Saheer S. S. et al. Int. Journal of Engineering Research and Applications www.ijera.com ISSN : 2248-9622, Vol. 4, Issue 9( Version 4), September 2014, pp.59-66 Recent Technology and Engineering (IJRTE), 1(2), 2012, 66-69.
    8. T. Ahmed, M. S. Miah, M. M. Islam and M. R. Uddin, Automatic Electric Meter Reading System: A Cost- Feasible Alternative Approach in Meter Reading for Bangladesh Perspective Using Low-Cost Digital Wattmeter and WiMax Technology, International Journal of Engineering and Technology, 8(3), 2011, 800-807.
    9. M. Wasi-ur-Rahman, M. T. Rahman, T. H. Khan and S. M. L. Kabir, Design of An Intelligent SMS Based Remote Metering System, Proc. IEEE International Conference on Information and Automation, Macau, June, 2009, 1040-1043.
    10. K. A. Adegboye, The Driven-by System of Automatic Meter Reading (AMR): An Alternative to Analogue Meter Reading System in Nigeria, International Journal of Economic Development Research and Investment, 4(1), 2013, 45-52.
    11. S. Male, P. Vethekar, K. More and V. K. Bhusari, An Intelligent and Smart Wireless Electronic Automatic Energy Meter Reading System, International Journal of Scientific Research and Education, 2(3), 2014, 398- 406.
    12. S. S. Al-Saheer, S. L. Shimi and S. Chatterji, Scope and Challenges of Electrical Power Conservation in Smart Grids, International Journal of Engineering Research and Technology (IJERT), 3(5), 2014, 2212-2214.
    13. J. Huiqin and Z. Ru, A Novel Remote Meter-reading System based on Virtual Instrumentation, Proc. IEEE International Conference on Computer Science and Automation Engineering (CSAE), Vol. 4, Shanghai, June, 2011, 350 – 354.

Recent Article