DocumentCode
2663007
Title
Adaptive Optimal Control for a One-Machine Infinite-Bus Power System
Author
Sayidi, Amir Mohammad ; Nekoui, M. Ali ; Boghrabidi, N.S.
Author_Institution
Electr. & Comput. Eng. Dep., Azad Univ., Tehran, Iran
fYear
2008
fDate
10-12 Dec. 2008
Firstpage
202
Lastpage
207
Abstract
Network optimization especially in power industry is one of the main goals of system engineering. It not only reduces the cost of the system but also improves its stability. Among various methods of optimal control of power networks, like Linear Optimal Control (LOC), a model-based adaptive optimal method has been presented here which can also be used in multi machines systems with multimode high and low-frequency oscillations; although this paper only addresses linear and reduced machine-order equations which are derived from an equivalent system with an infinite-bus and a line. In this paper a model for the machine and the network is first presented and then by definitions of reference model and errors, these errors will be tend to zero in an optimal way, so that the system actually tracks the reference model. This method will be seen to be a general one and is applicable both in high and low frequencies.
Keywords
adaptive control; electricity supply industry; optimal control; power system control; power system stability; reduced order systems; systems engineering; adaptive optimal control; high frequency oscillations; infinite-bus power system; linear machine-order equations; linear optimal control; low-frequency oscillations; model-based adaptive optimal method; multimachines systems; network optimization; one-machine power system; power industry; reduced machine-order equations; system engineering; Adaptive control; Optimal control; Power engineering and energy; Power industry; Power system control; Power system modeling; Power system stability; Power systems; Programmable control; Systems engineering and theory; Adaptive control; One-Machine Infinit-Bus Power System; Optimal control;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence for Modelling Control & Automation, 2008 International Conference on
Conference_Location
Vienna
Print_ISBN
978-0-7695-3514-2
Type
conf
DOI
10.1109/CIMCA.2008.164
Filename
5172625
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