Joint Optimization of Thermostatically Controlled Appliance and Electric Vehicle Based on Adaptive Dynamic Programming
Authors
Yi Liu, Yun Zhang, Sizhe Chen
Corresponding Author
Yi Liu
Available Online December 2016.
- DOI
- 10.2991/icseee-16.2016.156How to use a DOI?
- Keywords
- Home Energy Management; Adaptive Dynamic Programming; Optimal Control; Time-varying; Thermostatically Controlled Appliance; Electric Vehicle.
- Abstract
There are time-varying parameters within the performance index function and dynamic model of home energy optimization (HEO) which contains thermostatically controlled appliances (TCAs) and electric vehicles (EVs). And TCAs and EVs may be off-line. Adaptive dynamic programming (ADP) can not be applied directly to the optimization. In this paper, these problems are solved by transformation of the performance index function and dynamic model, and ADP is applied to the optimization with guarantees of convergence and optimality. The performances of the transformation are given in numerical results.
- 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 - Joint Optimization of Thermostatically Controlled Appliance and Electric Vehicle Based on Adaptive Dynamic Programming BT - Proceedings of the 2016 5th International Conference on Sustainable Energy and Environment Engineering (ICSEEE 2016) PB - Atlantis Press SP - 872 EP - 880 SN - 2352-5401 UR - https://doi.org/10.2991/icseee-16.2016.156 DO - 10.2991/icseee-16.2016.156 ID - Liu2016/12 ER -