Abstract
The Home Energy Management System (HEMS) is an important part of the smart grid that enables the residential customers to execute demand response programs autonomously. This study presents the outcome of a new system architecture and control algorithm that can use both battery storage and manage the temperature of thermal appliances. The proposed algorithm receives the price information from the utility company in advance and purchases the electricity at off-peak hours and utilizes the battery as well as manages the temperature of the thermal appliances during peak hours. The proposed algorithm assures that the power consumption of the electrical appliances is always less than certain level. The proposed house is supported by the battery system and Photovoltaic system as to increase the green index by utilizing alternative energy resource. The amount of the power that can be drained from the battery is limited by the algorithm to remain more during a day. The simulation results indicate that the proposed system is able to reduce the electricity price up to 20% a day without sacrificing the user's comfort.
| Original language | English |
|---|---|
| Pages (from-to) | 154-164 |
| Number of pages | 11 |
| Journal | Energy and Buildings |
| Volume | 138 |
| DOIs | |
| Publication status | Published - 1 Mar 2017 |
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Keywords
- Demand response
- Home energy management systems (HEMS)
- Power distribution
- Smart appliance
- Smart grid
ASJC Scopus subject areas
- Civil and Structural Engineering
- Building and Construction
- Mechanical Engineering
- Electrical and Electronic Engineering
Cite this
An intelligent system architecture in home energy management systems (HEMS) for efficient demand response in smart grid. / Shakeri, Mohammad; Shayestegan, Mohsen; Abunima, Hamza; Reza, S. M Salim; Akhtaruzzaman, Md.; Alamoud, A. R M; Sopian, Kamaruzzaman; Amin, Nowshad.
In: Energy and Buildings, Vol. 138, 01.03.2017, p. 154-164.Research output: Contribution to journal › Article
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TY - JOUR
T1 - An intelligent system architecture in home energy management systems (HEMS) for efficient demand response in smart grid
AU - Shakeri, Mohammad
AU - Shayestegan, Mohsen
AU - Abunima, Hamza
AU - Reza, S. M Salim
AU - Akhtaruzzaman, Md.
AU - Alamoud, A. R M
AU - Sopian, Kamaruzzaman
AU - Amin, Nowshad
PY - 2017/3/1
Y1 - 2017/3/1
N2 - The Home Energy Management System (HEMS) is an important part of the smart grid that enables the residential customers to execute demand response programs autonomously. This study presents the outcome of a new system architecture and control algorithm that can use both battery storage and manage the temperature of thermal appliances. The proposed algorithm receives the price information from the utility company in advance and purchases the electricity at off-peak hours and utilizes the battery as well as manages the temperature of the thermal appliances during peak hours. The proposed algorithm assures that the power consumption of the electrical appliances is always less than certain level. The proposed house is supported by the battery system and Photovoltaic system as to increase the green index by utilizing alternative energy resource. The amount of the power that can be drained from the battery is limited by the algorithm to remain more during a day. The simulation results indicate that the proposed system is able to reduce the electricity price up to 20% a day without sacrificing the user's comfort.
AB - The Home Energy Management System (HEMS) is an important part of the smart grid that enables the residential customers to execute demand response programs autonomously. This study presents the outcome of a new system architecture and control algorithm that can use both battery storage and manage the temperature of thermal appliances. The proposed algorithm receives the price information from the utility company in advance and purchases the electricity at off-peak hours and utilizes the battery as well as manages the temperature of the thermal appliances during peak hours. The proposed algorithm assures that the power consumption of the electrical appliances is always less than certain level. The proposed house is supported by the battery system and Photovoltaic system as to increase the green index by utilizing alternative energy resource. The amount of the power that can be drained from the battery is limited by the algorithm to remain more during a day. The simulation results indicate that the proposed system is able to reduce the electricity price up to 20% a day without sacrificing the user's comfort.
KW - Demand response
KW - Home energy management systems (HEMS)
KW - Power distribution
KW - Smart appliance
KW - Smart grid
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U2 - 10.1016/j.enbuild.2016.12.026
DO - 10.1016/j.enbuild.2016.12.026
M3 - Article
VL - 138
SP - 154
EP - 164
JO - Energy and Buildings
JF - Energy and Buildings
SN - 0378-7788
ER -