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Robust decentralized design of power system stabilizers taking into consideration system uncertainties
Author(s) -
Ngamroo Issarachai,
Dechanupaprittha Sanchai
Publication year - 2005
Publication title -
optimal control applications and methods
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.458
H-Index - 44
eISSN - 1099-1514
pISSN - 0143-2087
DOI - 10.1002/oca.754
Subject(s) - control theory (sociology) , robustness (evolution) , electric power system , tabu search , decentralised system , robust control , margin (machine learning) , mimo , computer science , control engineering , phase margin , control system , power (physics) , engineering , control (management) , artificial intelligence , amplifier , biochemistry , chemistry , physics , operational amplifier , quantum mechanics , machine learning , electrical engineering , gene , computer network , channel (broadcasting) , bandwidth (computing)
In complex power systems, changes in network configurations, various loading conditions, etc., cause system uncertainties. Without considering such uncertainties in the design, the conventional power system stabilizers (PSSs) may deteriorate the system robust stability. To overcome this problem, the proposed design incorporates the uncertainty model in the system representation. Then, the PSSs in a multi‐machine power system are arranged as the decentralized controller in a multi‐input multi‐output (MIMO) system. The robust stability margin of the closed‐loop control system is guaranteed in terms of the MIMO gain margin and phase margin. Control parameters of PSSs are optimized by a tabu search. Non‐linear simulation studies confirm the robustness of the designed PSSs against various uncertainties. Copyright © 2005 John Wiley & Sons, Ltd.