DocumentCode
512859
Title
GA based H∞ optimal model reduction: Application to power systems
Author
Bettayeb, Maamar ; Salim, Reem
Author_Institution
Electr. & Comput. Eng. Dept., Univ. of Sharjah, Sharjah, United Arab Emirates
fYear
2009
fDate
10-12 Nov. 2009
Firstpage
1
Lastpage
6
Abstract
Complex large scale power systems usually require high dimensional models to well represent them. Analysis, simulation and design methods based on this high order model leads to complicated control strategies requiring very complex logic or large amounts of computation. In this paper, genetic algorithms are used to find reduced order state space model representations of complex high order power systems using H∞ norm.
Keywords
H∞ optimisation; genetic algorithms; power systems; state-space methods; H∞ optimal model reduction; complex large scale power systems; design methods; genetic algorithms; high order model; reduced order state space model;
fLanguage
English
Publisher
ieee
Conference_Titel
Electric Power and Energy Conversion Systems, 2009. EPECS '09. International Conference on
Conference_Location
Sharjah
Print_ISBN
978-1-4244-5477-8
Type
conf
Filename
5415699
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