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Experimental implementation of demand response service for residential buildings
- Authors
- Hong, Seung ho; Li, Yi chang; Park, Jung hoon; Zhao, Bing
- Issue Date
- Oct-2014
- Publisher
- IEEE Computer Society
- Keywords
- Costs; Potential benefits; Buildings; Control systems; Demand response; Housing; Smart power grids; Practical experience; Hard-ware-in-the-loop; Residential building; Retail pricing; Electrical consumption; Experimental modeling
- Citation
- International Congress on Ultra Modern Telecommunications and Control Systems and Workshops, v.2015-January, no.January, pp 277 - 282
- Pages
- 6
- Indexed
- SCIE
SCOPUS
- Journal Title
- International Congress on Ultra Modern Telecommunications and Control Systems and Workshops
- Volume
- 2015-January
- Number
- January
- Start Page
- 277
- End Page
- 282
- ISSN
- 2157-0221
2157-023X
- Abstract
- Demand response (DR) and dynamic retail pricing of electricity play key roles in reducing peak loads and increasing the efficiency of smart power grids. However, recent studies have revealed that the lack of knowledge among consumers about how to respond to time-varying prices as well as the lack of practical experience implementing DR services in facilities are two major barriers that prevent full utilization of the potential benefits of dynamic retail pricing tariffs. In this study, we develop a hardware-in-the-loop DR experimental model for residential buildings and implement a user-expected price-based DR (UEP-DR) algorithm. The experimental results show that significant reduction or even elimination of peak-hour electrical consumption is achievable. © 2014 IEEE.
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