Optimization Design of Traction Substation in APM Traction Power Supply System based on Adaptive Particle Swarm Algorithm

Xia, Shunying; Yin, Wang; Wang, Lide; Zhang, Cuie; Wang, Chong

doi:10.1109/icpics47731.2019.8942428

2019 IEEE International Conference on Power, Intelligent Computing and Systems (ICPICS) 2019

DOI: 10.1109/icpics47731.2019.8942428

|View full text |Cite

Optimization Design of Traction Substation in APM Traction Power Supply System based on Adaptive Particle Swarm Algorithm

Shunying Xia

Wang Yin

Lide Wang

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2022

Publication Types

Select...

Other1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

hi@scite.ai

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Optimization Design of Traction Substation in APM Traction Power Supply System based on Adaptive Particle Swarm Algorithm

Cited by 1 publication

References 3 publications

Optimal Substation Spacing in 2x25kV Traction System

Optimal Substation Spacing in 2x25kV Traction System

Contact Info

Product

Resources

About