Optimal capacitor allocation for power transfer capability and power loss improvements in power transmission systems using evolutionary programming

Optimal capacitor allocation for power transfer capability and power loss improvements in power transmission systems using evolutionary programming

Capacitor allocation in power transmission systems have been considered to improve voltage profile and reduce power loss. An evolutionary programming (EP) is a computationally efficient methodology for the optimal capacitor allocation in power transmission network. The method is chosen due to its ro...

Full description

Saved in:
Bibliographic Details
Main Authors: Srisathian,P., Jirapong,P.
Format: Conference or Workshop Item
Published: 2015
Online Access:http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=79961223571&origin=inward
http://cmuir.cmu.ac.th/handle/6653943832/38983
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Chiang Mai University
id th-cmuir.6653943832-38983
record_format dspace
spelling th-cmuir.6653943832-389832015-06-16T08:00:59Z Optimal capacitor allocation for power transfer capability and power loss improvements in power transmission systems using evolutionary programming Srisathian,P. Jirapong,P. Capacitor allocation in power transmission systems have been considered to improve voltage profile and reduce power loss. An evolutionary programming (EP) is a computationally efficient methodology for the optimal capacitor allocation in power transmission network. The method is chosen due to its robustness and its ability to handle many practical constraints, explore all possible solutions, and find optimal solution within reasonable time. This method is proposed to determine the optimal allocation of capacitor for maximizing the total transfer capability (TTC) and minimize power loss by focusing on cost of capacitors and max TTC in systems. © 2011 IEEE. 2015-06-16T08:00:59Z 2015-06-16T08:00:59Z 2011-08-12 Conference Paper 2-s2.0-79961223571 10.1109/ECTICON.2011.5947934 http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=79961223571&origin=inward http://cmuir.cmu.ac.th/handle/6653943832/38983
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
description Capacitor allocation in power transmission systems have been considered to improve voltage profile and reduce power loss. An evolutionary programming (EP) is a computationally efficient methodology for the optimal capacitor allocation in power transmission network. The method is chosen due to its robustness and its ability to handle many practical constraints, explore all possible solutions, and find optimal solution within reasonable time. This method is proposed to determine the optimal allocation of capacitor for maximizing the total transfer capability (TTC) and minimize power loss by focusing on cost of capacitors and max TTC in systems. © 2011 IEEE.
format Conference or Workshop Item
author Srisathian,P.
Jirapong,P.
spellingShingle Srisathian,P.
Jirapong,P.
Optimal capacitor allocation for power transfer capability and power loss improvements in power transmission systems using evolutionary programming
author_facet Srisathian,P.
Jirapong,P.
author_sort Srisathian,P.
title Optimal capacitor allocation for power transfer capability and power loss improvements in power transmission systems using evolutionary programming
title_short Optimal capacitor allocation for power transfer capability and power loss improvements in power transmission systems using evolutionary programming
title_full Optimal capacitor allocation for power transfer capability and power loss improvements in power transmission systems using evolutionary programming
title_fullStr Optimal capacitor allocation for power transfer capability and power loss improvements in power transmission systems using evolutionary programming
title_full_unstemmed Optimal capacitor allocation for power transfer capability and power loss improvements in power transmission systems using evolutionary programming
title_sort optimal capacitor allocation for power transfer capability and power loss improvements in power transmission systems using evolutionary programming
publishDate 2015
url http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=79961223571&origin=inward
http://cmuir.cmu.ac.th/handle/6653943832/38983
_version_ 1681421572312662016

Similar Items