DocumentCode
3611318
Title
Demand Response Management for Residential Smart Grid: From Theory to Practice
Author
Wen-Tai Li ; Chau Yuen ; Ul Hassan, Naveed ; Tushar, Wayes ; Chao-Kai Wen ; Wood, Kristin L. ; Kun Hu ; Xiang Liu
Author_Institution
Singapore Univ. of Technol. & Design, Singapore, Singapore
Volume
3
fYear
2015
fDate
7/7/1905 12:00:00 AM
Firstpage
2431
Lastpage
2440
Abstract
In recent years, many studies have investigated the potential of demand response management (DRM) schemes to manage energy for residential buildings in a smart grid. However, most of the existing studies mainly focus on the theoretical design of DRM schemes and do not verify the proposed schemes through implementation. Smart grid research is highly interdisciplinary. As such, the establishment of testbeds to conduct DRM requires various skill sets that might not always be possible to arrange. However, the implementation of a DRM scheme is critical not only to verify the correctness of the design in a practical environment but also to address many important assumptions that are necessary for the actual deployment of the scheme. Thus, the theoretical aspect of DRM solutions should be discussed and verified in a practical environment to ensure that the scheme is suitable for deployment. In this paper, we propose a DRM scheme and construct a residential smart grid testbed to implement the proposed scheme. In the proposed DRM scheme, we suggest two different types of customer engagement plans, namely, green savvy plan and green aware plan, and design algorithms based on two user inconvenience indices to evaluate DRM for peak load reduction. The testbed verifies the effectiveness and efficiency of the proposed DRM scheme.
Keywords
building management systems; demand side management; smart power grids; DRM scheme; customer engagement plans; demand response management; design algorithm; energy management; green aware plan; green savvy plan; peak load reduction; residential buildings; residential smart grid testbed; user inconvenience indices; Green products; Home appliances; Load management; Load modeling; Logic gates; Smart grids; Smart grid; customer engagement plan; demand response; energy management service (EMS); implementation; peak load reduction; user inconvenience;
fLanguage
English
Journal_Title
Access, IEEE
Publisher
ieee
ISSN
2169-3536
Type
jour
DOI
10.1109/ACCESS.2015.2503379
Filename
7336481
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