International Journal of Scientific & Technology Research

Home About Us Scope Editorial Board Blog/Latest News Contact Us
10th percentile
Powered by  Scopus
Scopus coverage:
Nov 2018 to May 2020


IJSTR >> Volume 9 - Issue 4, April 2020 Edition

International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616

Energy Management System And Peak Shaving Algorithm For Smart Home Integrated With Renewable Energy

[Full Text]



S.Gomathy, M.Sabarimuthu, N.Priyadharshini, M.S.Kamalesh



Solar, Smart home, Energy Management, peak scheduling, demand response



Energy management is becoming more critical in recent trends for manufacturing, transportation, information technology, agriculture, household uses, and more. Every country that wants to grow its economy and improve living standards needs to maintain a reliable supply of energy. This paper presents a method of intelligent energy management which reduces the peak energy of the utility, shifts utilization to off-peak hours, and reduces overall energy consumption, particularly in a smart home. The proposed model taking into account the smart home appliances total power and consumption period. It allows those devices to adapt for available power using intelligent monitoring and control algorithms with the assistance of sensor networks. The scheduling of home appliances usage is a reliable method of energy saving. In this paper, the Home Energy Management System (HEMS) is developed on the Android platform to schedule users' appliances. A HEMS monitor electricity consumption to define home appliance activities.



[1] I. Ibrahim and H. Ashour, “Energy Saving Through Smart Home”. The Online Journal on Power and Energy Engineering (OJPEE), Vol. (2) – No. (3).
[2] Kishore and L.V.Synder, “Control mechanisms for residential electricity demand in smart grids”. IEEE SmartGridComm’10,(pp.443-448),2010.
[3] S.Abras, S. Pesty, S. P.Loix, M.Jacomino, “An Anticipation Mechanism for Power Management in a Smart Home using Multi-Agent Systems”. In proceeding of 3rd International Conference on Information and Communication Technologies: From Theory to Applications, 2008. ICTTA 2008.
[4] B. Roberts and C. Sandberg, “The Role of Energy Storage in Development of Smart Grids,” Proc. IEEE, vol. 99, no. 6, pp. 1139-1144, June 2011.
[5] Yuanxiong Guo, Miao Pian, and Yuguang Fang, “Optimal Power Management Of Residential Customers in the Smart Grid,” IEEE Trans. Parallel and Distributed Systems, vol. 23, no. 9, Sep 2012.
[6] Xiaodao Chen, Tongquan Wei, Shiyan Hu, “Uncertainty Aware Household Appliance Scheduling Considering Dynamic Electricity Pricing in Smart Home,” IEEE Trans. Smart Grid, vol. 4, pp. 932-941, June 2013.
[7] A.Mohsenian-Rad, V. Wong, J. Jatskevich, andR.Schober, “Optimal and Autonomous Incentive-based Energy consumption Scheduling Algorithm for Smart Grid,” Proc. Innov. Smart Grid Technol. (ISGT), 2010.
[8] Bilal Mubdir, Asaad Al-Hindawi, Noor Hadi, “ Design of Smart Home Energy Management System for Saving Energy”, European Scientific Journal ,vol.12, No.33, 2016.
[9] Aswani C. &Rathan N., “Home Energy Management System for High Power Intensive Loads”, Emerging Trends in Electrical, Electronics & Instrumentation Engineering: An International Journal (EEIEJ), Vol. 1, No. 2, 2014.
[10] V. Dange and V. K. Gondi , "Powerline Communication Based Home Automation and Electricity Distribution System," International Conference on Process Automation, Control and Computing (PACC), Coimbatore, pp. 1-6, 2011.
[11] Firas Abdullah Thweny Al-Saedi, "Peak shaving energy management for smart home" IJCSET, October 2013, Vol 3, Issue 10, 359-366. www.ijcset.net, ISSN:2231-0711).
[12] R. Sureshkumar, Remya. K. R, “An Efficient Energy Management and Household Appliances Scheduling for Residential Customers using Embedded System” International Journal of Emerging Technology and Advanced Engineering. Website: www.ijetae.com (ISSN 2250-2459, ISO 9001:2008 Certified Journal, Volume 4, Issue 1, January 2014).
[13] A.Virag, S.Bogdan, “Resource Allocation in Smart Homes Based on Banker’s Algorithm”, Proceedings of the 2011 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe), UK, (pp.1-7), 2011.
[14] M. Pedrassa, T. Spooner, and I. MacGill, “Coordinated Scheduling of Residential Distributed Energy Sources to Optimize Smart Home Energy Services,” IEEE Trans. Smart Grid, vol. 1, no. 2, pp. 134-144, 2010.
[15] Jiakang Lu, Tamim Sookoor, Vijay Srinivasan, Ge Gao, Brian Holben, John Stankovic, Eric Field, and KaminWhitehouse , The smart thermostat: using occupancy sensors to save energy in homes. In Proceedings of the 8th ACM Conference on Embedded Networked Sensor Systems (SenSys '10). ACM, NewYork, NY, USA, 211-224, 2010.
[16] K. Gill, S. H. Yang, F. Yao and X. Lu ,"A zigbee-based home automation system”, IEEE Transactions on Consumer Electronics, vol. 55, no. 2, pp. 422-430, 2009.
[17] Z. Zhao, W. C. Lee, Y. Shin and K. B. Song , "An Optimal Power Scheduling Method for Demand Response in Home Energy Management System," in IEEE Transactions on Smart Grid, vol. 4, no. 3, pp. 1391-1400, 2013.