@inproceedings{8848f5ddbaa549e59919525885282963,
title = "Optimal power control strategy of a distributee energy system incorporating demand response",
abstract = "This paper presents an optimal power control scheduling of a distributed energy system in presence of demand response. The distributed energy system comprises of a solar photovoltaic (PV) module and a battery bank storage system. A non-convex mixed binary integer programming technique is used to model flexible and inflexible smart home appliances. Two scenarios are considered in the case study. The results show that efficient scheduling of smart home appliances combined with optimal control of distributed energy system can significantly reduce the total daily electricity cost by more than 50%. The optimal control of distributed energy system was also shown to have an effect on the scheduling of smart home appliances.",
author = "Oliver Dzobo and Yanxia Sun",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 3rd International Conference on Advances in Computing, Communication and Engineering, ICACCE 2016 ; Conference date: 28-11-2016 Through 29-11-2016",
year = "2017",
month = oct,
day = "18",
doi = "10.1109/ICACCE.2016.8073732",
language = "English",
series = "Proceedings - 2016 3rd International Conference on Advances in Computing, Communication and Engineering, ICACCE 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "103--108",
editor = "Vishal Kumar and Singh, {Upasana Gitanjali} and Sudarsan, {S D}",
booktitle = "Proceedings - 2016 3rd International Conference on Advances in Computing, Communication and Engineering, ICACCE 2016",
address = "United States",
}
