Optimal placement of multi-type FACTS devices using hybrid evolutionary algorithm
In this paper, a new hybrid evolutionary algorithm (HEA) based on evolutionary programming (EP), tabu search (TS), and simulated annealing (SA) is proposed to determine the optimal placement of multi-type flexible AC transmission system (FACTS) devices to simultaneously maximize the total transfer c...
Saved in:
Main Author: | Jirapong P. |
---|---|
Format: | Conference or Workshop Item |
Language: | English |
Published: |
2014
|
Online Access: | http://www.scopus.com/inward/record.url?eid=2-s2.0-74549210057&partnerID=40&md5=1779acd18b088592bb95d807976691d4 http://cmuir.cmu.ac.th/handle/6653943832/1428 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Chiang Mai University |
Language: | English |
Similar Items
-
Optimal placement of multi-type FACTS devices using hybrid evolutionary algorithm
by: Peerapol Jirapong
Published: (2018) -
Optimal placement of multi-type FACTS devices using hybrid evolutionary algorithm
by: Peerapol Jirapong
Published: (2018) -
Optimal placement of multi-type FACTS devices to enhance total transfer capability using improved evolutionary programming
by: Weerakorn Ongsakul, et al.
Published: (2018) -
Optimal placement of multi-type FACTS devices to enhance total transfer capability using improved evolutionary programming
by: Weerakorn Ongsakul, et al.
Published: (2018) -
Optimal allocation of multi-type FACTS controllers for total transfer capability enhancement using hybrid particle swarm optimization
by: Chansareewittaya S., et al.
Published: (2014)