Optimal Models of Home Energy Management System
Authors
Qingzhu Wan, Yalan Chen, Yuan Bian
Corresponding Author
Qingzhu Wan
Available Online December 2016.
- DOI
- 10.2991/iceeecs-16.2016.50How to use a DOI?
- Keywords
- home energy management system, optimal model, load rate, genetic algorithm.
- Abstract
Residential sector is a potential field of energy conservation and emission reduction in smart grid. Smart home can reduce electricity cost and carbon emissions by optimal the energy use of household appliances. We bulid day-ahead dispatch schedule models which are minimize electricity cost model and minimize carbon emissions model. In the models, we both combined with the goal of electricity safety. We improved Genetic Algorithm to solve our models. The simulation results show that the models can effectively and safely optimize the home energy management.
- Copyright
- © 2016, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Qingzhu Wan AU - Yalan Chen AU - Yuan Bian PY - 2016/12 DA - 2016/12 TI - Optimal Models of Home Energy Management System BT - Proceedings of the 2016 4th International Conference on Electrical & Electronics Engineering and Computer Science (ICEEECS 2016) PB - Atlantis Press SP - 222 EP - 229 SN - 2352-538X UR - https://doi.org/10.2991/iceeecs-16.2016.50 DO - 10.2991/iceeecs-16.2016.50 ID - Wan2016/12 ER -