Designing Decision Maker in a Smart Home for Energy Consumption Optimization Using Fuzzy Modeling

محورهای موضوعی : مهندسی هوشمند برق

Maryam Sadat Mahdaviyani ¹ ( Tehran South Branch, Islamic Azad University, Tehran, Iran. )
Mehrdad Javadi ² ( Tehran South Branch, Islamic Azad University, Tehran, Iran. )

تاریخ دریافت : 1394/01/24 تاریخ پذیرش : 1394/01/24 تاریخ انتشار : 1391/03/12

کلید واژه: smart grid, home energy management system, fuzzy modeling, Smart Home,

چکیده مقاله :

existed electricity grids deliver produced power to the consumer passing through transmission and distribution grids. According to high losses of these grids in transmission level and inexistence of bilateral interaction for simultaneous information exchange, a concept of smart grids were made by capabilities such as consciously participation of consumers in the smart electricity grids, an amount of energy saving, monitoring and automation of electricity grids. These grids give necessary information about the cost of power consumption to the users and it is possible that subscribers change their consumption power amount based on a balance between requested power and electricity grid. Since smart home in a form of environment where all control systems were designed in a pre-defined logical framework, so it can be introduced as a solution to reduce energy consumption through controlling equipment based on function schedule charts. In this paper, an approach has been presented to optimize energy consumption which decision maker model is designed in order to reduce cost and to increase user utility. Indeed designed home energy management system select optimum duration about how to use the equipment by using fuzzy modelling

منابع و مأخذ:

1] Jin Cheng and Thomas Kunz, “A Survey on Smart Home Networking”, Carleton University, Systems and Computer Engineering, Technical Report, SCE-09-10, September 2009.

[2] P. Stern, “Information, Incentives, and Pro Environmental Consumer Behavior”, Journal of Consumer Policy, Vol.22, No.4, pp.461–478, 1999.

[3] M. Shukri, B. Zainal Abidin, Marzuki B. Khalid, Madya and Rubiyah Bt. Yusuf, “An Intelligent And Easy Home/Office System Using Artificial Intelligent Techniques”, Faculty Kejuruteraan Electrik, University Technology Malaysia, 2007.

[4] D. Cook and S. Das, “How Smart Are Our Environments?”, Pervasive and Mobile Computing, Vol.3, No.2, pp.53–73, 2007.

[5] Rosslin John Robles , Tai-hoon Kim , D. Cook and S. Das, “A Review on Security in Smart Home Development” International Journal of Advanced Science and Technology Vol. 15, February, 2010 .

[6] Muhammad Izhar Ramli and Mohd Helmy Abd Wahab, “Towards Smart Home: Control Electrical Devices Online“, International Conference on Science and Technology: Application in Industry and Education, 2006.

[7] Mark Sh. Levin, Aliaksei Andrushevich and Alexander Klapproth, “Composition of Management System for Smart Homes”, Information Processes, Vol.10, No.1, pp.78-86, 2010.

[8] Jian Li, James Won – kia Hong, Jin Xiao, Jae Yoon Chung and Raouf Boutaba, “On the Design and Implementation of a Home Energy Management System”, 6th International Symposium on Wireless and Pervasive Computing (ISWPC), 2011.

[9] Sean Barker, Aditya Mishra, David Irwin, Prashant Shenoy, and Jeannie Albrecht , “SmartCap: Flattening Peak Electricity Demand in Smart Homes?”, Proceedings of the 10th IEEE International Conference on Pervasive Computing and Communications (PerCom), Lugano, Switzerland, March 2012.

[10] Sanja Veleva and Danco Davcev, “Implementing IT Intelligence in the System for Control of Energy Savings”,

International Conference on Power and Energy Systems Lecture Notes in Information Technology, Vol.13, 2012.

[11] Kuo-Ming Chao, Nazaraf Shah, Raymond Farmer, Adriana Matei, Ding-Yuan Chen, Heike Schuster-James and Richard Tedd, “A Profile based Energy Management System for Domestic Electrical Appliances”, IEEE 7th International Conference on e-Business Engineering (ICEBE), 2010.

[12] Kin Cheong Sou, James Weimer, Henrik Sandberg, and Karl Henrik Johansson, “Scheduling Smart Home Appliances Using Mixed Integer Linear Programming”, 50th IEEE Conference on Decision and Control and European Control Conference (CDC-ECC), Dec.12-15, 2011.