A New Method for Power Scheduling Management of Distributed Energy Storage System Based on Multi-Agent Structure
Xiaoting Shi, Bo Yin, Yanping Cong, Bing Li, Junnan Zhang
Available Online October 2016.
- 10.2991/mmme-16.2016.82How to use a DOI?
- Multi-Agent structure; Multi-objective optimization problem; Energy storage system scheduling
A multi-Agent scheduling management system of distributed structure is proposed and an adaptive schedul-ing model which is aimed at the optimal economic benefits is established to explore more efficient methods for the scheduling problem of energy storage system. In a case that a model containing six energy storage sys-tems provides power for a unit. It uses multi-objective optimization algorithm of three reliability factors to op-timize the target. In the end, it can predict scheduling scheme of the next 24 hours. This results demonstrate the feasibility and effectiveness of the presented algorithm.
- © 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 - Xiaoting Shi AU - Bo Yin AU - Yanping Cong AU - Bing Li AU - Junnan Zhang PY - 2016/10 DA - 2016/10 TI - A New Method for Power Scheduling Management of Distributed Energy Storage System Based on Multi-Agent Structure BT - Proceedings of the 2016 4th International Conference on Mechanical Materials and Manufacturing Engineering PB - Atlantis Press SP - 363 EP - 366 SN - 2352-5401 UR - https://doi.org/10.2991/mmme-16.2016.82 DO - 10.2991/mmme-16.2016.82 ID - Shi2016/10 ER -