Proceedings of the 2nd International Conference on Electrical and Electronic Engineering (EEE 2019)

Photovoltaic-grid Complementary Electric Charging System Based on Whale Optimization Algorithm

Authors
Xin-jia Lu, Yi Luo, Yong Tang
Corresponding Author
Yi Luo
Available Online July 2019.
DOI
https://doi.org/10.2991/eee-19.2019.6How to use a DOI?
Keywords
Whale optimization algorithm, Photovoltaic-grid complementation, Electric vehicle charging, Dynamic programming, Economy
Abstract
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.

Download article (PDF)

Proceedings
2nd International Conference on Electrical and Electronic Engineering (EEE 2019)
Part of series
Advances in Engineering Research
Publication Date
July 2019
ISBN
978-94-6252-754-6
ISSN
2352-5401
DOI
https://doi.org/10.2991/eee-19.2019.6How to use a DOI?
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  -