Orthogonal PSO algorithm for economic dispatch of thermal generating units under various power constraints in smart power grid

Al-Bahrani, Loau and Patra, Jagdish Chandra 2017, Orthogonal PSO algorithm for economic dispatch of thermal generating units under various power constraints in smart power grid, Applied soft computing, vol. 58, pp. 401-426, doi: 10.1016/j.asoc.2017.04.059.

Attached Files
Name Description MIMEType Size Downloads

Title Orthogonal PSO algorithm for economic dispatch of thermal generating units under various power constraints in smart power grid
Author(s) Al-Bahrani, Loau
Patra, Jagdish Chandra
Journal name Applied soft computing
Volume number 58
Start page 401
End page 426
Total pages 26
Publisher Elsevier
Place of publication Amsterdam, The Netherlands
Publication date 2017-09
ISSN 1568-4946
Keyword(s) Science & Technology
Technology
Computer Science, Artificial Intelligence
Computer Science, Interdisciplinary Applications
Computer Science
Orthogonal particle swarm optimization
Orthogonal diagonalization
Economic dispatch
Ramp rate limits
Prohibited operating zones
PARTICLE SWARM OPTIMIZATION
ARTIFICIAL BEE COLONY
LOAD DISPATCH
DIFFERENTIAL EVOLUTION
PROHIBITED ZONES
NEURAL-NETWORK
SEARCH
Language eng
DOI 10.1016/j.asoc.2017.04.059
Field of Research 0102 Applied Mathematics
0801 Artificial Intelligence and Image Processing
0806 Information Systems
HERDC Research category C1.1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2017, Elsevier B.V.
Persistent URL http://hdl.handle.net/10536/DRO/DU:30121197

Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 10 times in TR Web of Science
Scopus Citation Count Cited 14 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 25 Abstract Views, 0 File Downloads  -  Detailed Statistics
Created: Wed, 01 May 2019, 16:13:07 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.