Power transfer capability enhancement with optimal maximum number of facts controllers using evolutionary programming
In this paper, evolutionary programming (EP) with optimal maximum number of FACTS controller and search space managing methods are proposed to determine the optimal allocation of FACTS controllers to enhance power transfer capability of power transactions between generators and load buses. Particula...
Saved in:
Main Authors: | Suppakarn Chansareewittaya, Peerapol Jirapong |
---|---|
Format: | Conference Proceeding |
Published: |
2018
|
Subjects: | |
Online Access: | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84856545763&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/49928 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Chiang Mai University |
Similar Items
-
Power transfer capability enhancement with optimal maximum number of facts controllers using evolutionary programming
by: Chansareewittaya S., et al.
Published: (2014) -
Total transfer capability enhancement with optimal number of FACTS controllers using hybrid TSSA
by: Suppakarn Chansareewittaya, et al.
Published: (2018) -
Power transfer capability enhancement with multitype FACTS controllers using particle swarm optimization
by: Suppakarn Chansareewittaya, et al.
Published: (2018) -
Power transfer capability enhancement with multitype FACTS controllers using hybrid particle swarm optimization
by: Suppakarn Chansareewittaya, et al.
Published: (2018) -
Power transfer capability enhancement with multitype FACTS controllers using hybrid particle swarm optimization
by: Suppakarn Chansareewittaya, et al.
Published: (2018)