A Stochastic Optimal Control Method of Home Energy Based on Adaptive Dynamic Programming

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/).

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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  -