TY - GEN
T1 - Implementation of smart residential energy management system for smart grid
AU - Refaat, Shady S.
AU - Abu-Rub, Haitham
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/10/27
Y1 - 2015/10/27
N2 - Residential sector represents a substantial increase of electricity consumption, due to substantial growth of electrical residential appliances. Electrical energy management is a major key toward reducing energy consumption and improving efficiency, decreasing costs of energy use, and decreasing the carbon footprint. Therefore, this paper proposes a novel embedded real-time, non-intrusive, smart, simple and effective residential energy management system that is capable to monitor and control energy consumption of the residential loads, balance electric power supply, reduce peak demand, and reduce energy bill while considering residential households preferences and comfort level. Therefore, the presented algorithm aims to reach those set goals by assigning the residential load according to utilities power supply events. The proposed system is investigated using Matlab/Simulink software to both verify the analytical procedure accuracy in the power grid and to obtain basic characteristics of the residential loads during peak demand. The proposed energy management system does not require any changes in the residential electrical panel. Experimental results and real-time implementation demonstrate the validity of the system proposed.
AB - Residential sector represents a substantial increase of electricity consumption, due to substantial growth of electrical residential appliances. Electrical energy management is a major key toward reducing energy consumption and improving efficiency, decreasing costs of energy use, and decreasing the carbon footprint. Therefore, this paper proposes a novel embedded real-time, non-intrusive, smart, simple and effective residential energy management system that is capable to monitor and control energy consumption of the residential loads, balance electric power supply, reduce peak demand, and reduce energy bill while considering residential households preferences and comfort level. Therefore, the presented algorithm aims to reach those set goals by assigning the residential load according to utilities power supply events. The proposed system is investigated using Matlab/Simulink software to both verify the analytical procedure accuracy in the power grid and to obtain basic characteristics of the residential loads during peak demand. The proposed energy management system does not require any changes in the residential electrical panel. Experimental results and real-time implementation demonstrate the validity of the system proposed.
KW - demand response
KW - demand side management
KW - load management
KW - residential load
KW - Smart Grid
UR - http://www.scopus.com/inward/record.url?scp=84963553648&partnerID=8YFLogxK
U2 - 10.1109/ECCE.2015.7310145
DO - 10.1109/ECCE.2015.7310145
M3 - Conference contribution
AN - SCOPUS:84963553648
T3 - 2015 IEEE Energy Conversion Congress and Exposition, ECCE 2015
SP - 3436
EP - 3441
BT - 2015 IEEE Energy Conversion Congress and Exposition, ECCE 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 7th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2015
Y2 - 20 September 2015 through 24 September 2015
ER -