A Stochastic Optimal Control Method of Home Energy Based on Adaptive Dynamic Programming
Authors
Yi Liu, Yun Zhang, Sizhe Chen
Corresponding Author
Yi Liu
Available Online December 2016.
- DOI
- 10.2991/icmcm-16.2016.57How to use a DOI?
- Keywords
- Adaptive Dynamic Programming; Stochastic Control; Home Energy Optimization; Time-varying Parameter; Smart Grid
- Abstract
Home energy optimization (HEO) is an infinite horizon optimization problem, only adaptive dynamic programming (ADP) can solve infinite horizon optimization problem. But due to the existence of time-varying parameters, ADP can not converge to the optimal and can not be applied directly to the optimal control of home energy. According to the periodic characteristics of the time-varying parameters, a stochastic optimal control method is proposed in the paper based on ADP. The influence of time-varying parameters in the iteration of ADP is eliminated by the proposed method. Simulation results show the performance of the proposed method.
- 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 - Yi Liu AU - Yun Zhang AU - Sizhe Chen PY - 2016/12 DA - 2016/12 TI - A Stochastic Optimal Control Method of Home Energy Based on Adaptive Dynamic Programming BT - Proceedings of the 2016 7th International Conference on Mechatronics, Control and Materials (ICMCM 2016) PB - Atlantis Press SP - 278 EP - 284 SN - 2352-5401 UR - https://doi.org/10.2991/icmcm-16.2016.57 DO - 10.2991/icmcm-16.2016.57 ID - Liu2016/12 ER -