Published October 1, 2019 | Version v1
Journal article

Design of Electric Vehicle Charging Station Based on Genetic Algorithm

  • 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/631/5/052025

Additional details

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