Photovoltaic-grid Complementary Electric Charging System Based on Whale Optimization Algorithm
Xin-jia Lu, Yi Luo, Yong Tang
Available Online July 2019.
- https://doi.org/10.2991/eee-19.2019.6How to use a DOI?
- Whale optimization algorithm, Photovoltaic-grid complementation, Electric vehicle charging, Dynamic programming, Economy
- This paper proposes a photovoltaic-grid complementary electric vehicle charging system based on whale optimization algorithm, including control part, traditional electric energy and photovoltaic energy supply part and electric vehicle charging equipment part. The electric vehicle is charged by the complementary power supply mode of photovoltaic energy and traditional grid power. The control system uses the whale optimization algorithm to dynamically plan the use of the charging equipment in different periods of time to optimize the utilization of photovoltaic and grid power. The photovoltaic-grid complementary electric charging system based on the whale optimization algorithm can effectively improve the user's satisfaction with the charging of electric vehicles, plan the utilization of new energy and grid energy, realize the economical efficiency of energy utilization, and reduce the energy use cost.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Xin-jia Lu AU - Yi Luo AU - Yong Tang PY - 2019/07 DA - 2019/07 TI - Photovoltaic-grid Complementary Electric Charging System Based on Whale Optimization Algorithm BT - 2nd International Conference on Electrical and Electronic Engineering (EEE 2019) PB - Atlantis Press SP - 32 EP - 35 SN - 2352-5401 UR - https://doi.org/10.2991/eee-19.2019.6 DO - https://doi.org/10.2991/eee-19.2019.6 ID - Lu2019/07 ER -