Published October 1, 2019
| Version v1
Journal article
Design of Electric Vehicle Charging Station Based on Genetic Algorithm
Creators
- 1. School of Automation and Artificial Intelligence, Nanjing University of Posts and Telecommunications, Nanjing, Jiangsu, 210000 (China)
- 2. State Grid Jiangsu Electric Power Co., Ltd. Suzhou Power Supply Branch, Suzhou, Jiangsu, 215000 (China)
Description
Aimed at the design problem of electric vehicle (EV) charging station, this paper proposes an optimization algorithm based on genetic algorithm (GA) to explore the optimal design scheme. The proposed algorithm is verified by using a charging station equipped with distributed energy as an example. At the same time, the example is divided into three cases for comparison. The results show that the construction of distributed generation for charging station will have better economic benefits. (paper)
Availability note (English)
Available from http://dx.doi.org/10.1088/1757-899X/631/5/052025Additional details
Identifiers
Publishing Information
- Journal Title
- IOP Conference Series. Materials Science and Engineering (Online)
- Journal Volume
- 631
- Journal Issue
- 5
- Journal Page Range
- [6 p.]
- ISSN
- 1757-899X
Conference
- Title
- 5. International Conference on Applied Materials and Manufacturing Technology
- Dates
- 21-23 Jun 2019
- Place
- Singapore (Singapore)
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 52121201
- Subject category
- S42: ENGINEERING;
- Resource subtype / Literary indicator
- Conference
- Descriptors DEI
- COMPARATIVE EVALUATIONS; CONSTRUCTION; DESIGN; ELECTRIC-POWERED VEHICLES; GENETIC ALGORITHMS; OPTIMIZATION
- Descriptors DEC
- ALGORITHMS; EVALUATION; MATHEMATICAL LOGIC; VEHICLES