An Enhanced System Architecture for Optimized Demand Side Management in Smart Grid
Anzar Mahmood 1
, Faisal Baig 1, Nabil Alrajeh 2, Umar Qasim 3, Zahoor Ali Khan 4,5 and Nadeem Javaid 1,*
, Faisal Baig 1, Nabil Alrajeh 2, Umar Qasim 3, Zahoor Ali Khan 4,5 and Nadeem Javaid 1,*
1
COMSATS Institute of Information Technology, Islamabad 44000, Pakistan
2
College of Applied Medical Sciences, Department of Biomedical Technology, King Saud University, Riyadh 11633, Saudi Arabia
3
Cameron Library, University of Alberta, Edmonton, AB T6G 2J8, Canada
4
Internetworking Program, Faculty of Engineering, Dalhousie University, Halifax, NS B3J 4R2, Canada
5
Computer Information Science, Higher Colleges of Technology, Fujairah 4114, UAE
*
Author to whom correspondence should be addressed.
Academic Editors: Minho Shin and Takayoshi Kobayashi
Appl. Sci. 2016, 6(5), 122; https://doi.org/10.3390/app6050122
Received: 16 December 2015 / Revised: 10 April 2016 / Accepted: 11 April 2016 / Published: 28 April 2016
(This article belongs to the Special Issue Smart Grid: Convergence and Interoperability)
Abstract
Demand Side Management (DSM) through optimization of home energy consumption in the smart grid environment is now one of the well-known research areas. Appliance scheduling has been done through many different algorithms to reduce peak load and, consequently, the Peak to Average Ratio (PAR). This paper presents a Comprehensive Home Energy Management Architecture (CHEMA) with integration of multiple appliance scheduling options and enhanced load categorization in a smart grid environment. The CHEMA model consists of six layers and has been modeled in Simulink with an embedded MATLAB code. A single Knapsack optimization technique is used for scheduling and four different cases of cost reduction are modeled at the second layer of CHEMA. Fault identification and electricity theft control have also been added in CHEMA. Furthermore, carbon footprint calculations have been incorporated in order to make the users aware of environmental concerns. Simulation results prove the effectiveness of the proposed model. View Full-TextKeywords:
smart grid; Home Energy Management Systems (HEMS); Simulink; load categorization; green effects; energy cost minimization; CHEMA
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Mahmood, A.; Baig, F.; Alrajeh, N.; Qasim, U.; Khan, Z.A.; Javaid, N. An Enhanced System Architecture for Optimized Demand Side Management in Smart Grid. Appl. Sci. 2016, 6, 122.
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