Optimisation configuration of hybrid AC/DC microgrid containing electric vehicles based on the NSGA-II algorithm

Optimisation configuration of hybrid AC/DC microgrid containing electric vehicles based on the NSGA-II algorithm

Based on the development of hybrid AC/DC microgrid, considering the objectives of microgrid life-cycle cost, self-balancing rate and converter losses, an optimisation configuration model of a hybrid AC/DC microgrid is established here. Based on the different model of EVs to connect with grid, the ma...

Full description

Bibliographic Details
Main Authors: Bin Ye, Xuemei Shi, Xuli Wang, Hongbin Wu
Format: Article
Language:English
Published: Wiley 2019-05-01
Series:The Journal of Engineering
Subjects:
pareto optimisation
distributed power generation
electric vehicles
genetic algorithms
hybrid ac/dc microgrid
microgrid life-cycle cost
optimisation configuration model
optimisation configuration results
nsga-ii algorithm
self-balancing rate
converter losses
matching control strategies
non-dominated sorting genetic algorithm
demand response function
ev charging modes
Online Access:https://digital-library.theiet.org/content/journals/10.1049/joe.2018.5043

Internet

https://digital-library.theiet.org/content/journals/10.1049/joe.2018.5043

Similar Items