Optimal design for multiple mode charging station with PI controller using particle swarm optimization
This project proposes a suitable design for charging station (CS) that can produce different charging categories (slow, medium, and high). The CS mode is based on power size, rated voltage levels, number of phases and rated current as well as charging time. The higher charging mode will require less...
保存先:
第一著者: | Shafad, Khairul Hafiz |
---|---|
フォーマット: | 学位論文 |
言語: | English |
出版事項: |
2017
|
主題: | |
オンライン・アクセス: | http://eprints.utm.my/id/eprint/78650/1/KhairulHafizShafadMFKE2017.pdf http://eprints.utm.my/id/eprint/78650/ http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:107406 |
タグ: |
タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
|
類似資料
-
Optimal placement of fast charging station in radial distribution networks through particle swarm optimization
著者:: Wang, Xingye, 等
出版事項: (2023) -
Swarm Intelligence-Based Optimization for PHEV Charging Stations
著者:: Rahman, Imran, 等
出版事項: (2015) -
Active Power Filter Based Optimum Design Of PI Controller Using Particle Swarm Optimization Method
著者:: Thajeel, Ekhlas Mhawi, 等
出版事項: (2015) -
Sliding mode control with particle swarm optimization algorithm for a system with external disturbance
著者:: Mohammed Alamri, Yahya Ahmed
出版事項: (2010) -
Intelligent sliding mode controller for active suspension system using particle swarm optimization
著者:: Obaid, Mahmood Ali Moqbel, 等
出版事項: (2014)