2015 IEEE International Conference on Data Science and Data Intensive Systems (DSDIS) (2015)
Dec. 11, 2015 to Dec. 13, 2015
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/DSDIS.2015.42
The rapid advancement of Internet of Things (IoT) and smart grid technologies enable the more active consumer participation of the demand response (DR) strategies for the residential areas. The economic advantages offered by both of the distributed small-scale renewable energy generation system and the energy storage system (ESS) also encourage their widespread applications in the smart house environment. In this paper, a home energy management system (HEMS) is deployed to investigate the collaborative evaluation of a dynamic-pricing based DR strategy, a distributed small-scale renewable energy generation system, and ESS. A fuzzy logic control (FLC) based energy dispatch strategy is also proposed to determine the amount of electricity to be purchased from the utility in real-time manner. Different with some reported works that focused on the simulation studies, the proposed HEMS structure provides the hardware demonstration. Extensive experimental studies reveal that the proposed work is able to satisfy the household energy demand by incurring the least amount of electricity bill paid to the utility.
Home appliances, Smart grids, Energy management, Load modeling, Hardware, Optimization, Pricing
L. Yao, C. Lai and W. H. Lim, "Home Energy Management System Based on Photovoltaic System," 2015 IEEE International Conference on Data Science and Data Intensive Systems (DSDIS), Sydney, Australia, 2015, pp. 644-650.