Robust decentralized guaranteed-cost control for interconnected power systems

Author

Mahmoud, Magdi S.

Author_Institution

Syst. Eng. Dept., KFUPM, Dhahran, Saudi Arabia

fYear

2014

fDate

24-27 June 2014

Firstpage

914

Lastpage

919

Abstract

This paper establishes robust guaranteed-cost decentralized stabilization method for interconnected continuous-time systems with Lipschitz-type nonlinearities and subject to convex-bounded parametric uncertainties. We design a decentralized observer-based feedback stabilization scheme such that the family of closed-loop feedback subsystems enjoys the asymptotic stability with a guaranteed cost for each subsystem. The decentralized feedback gains are determined by convex optimization over LMIs. All the developed results are tested on an interconnected power system.

Keywords

asymptotic stability; closed loop systems; continuous time systems; control nonlinearities; control system synthesis; convex programming; decentralised control; feedback; linear matrix inequalities; multivariable control systems; observers; power system interconnection; robust control; uncertain systems; LMI; Lipschitz-type nonlinearities; asymptotic stability; closed-loop feedback subsystems; convex optimization; convex-bounded parametric uncertainties; decentralized feedback gains; decentralized observer-based feedback stabilization scheme design; interconnected continuous-time systems; interconnected power systems; robust decentralized guaranteed-cost control; robust guaranteed-cost decentralized stabilization method; Decentralized control; Power system stability; Robustness; Symmetric matrices; Uncertainty; Vectors;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Conference (ECC), 2014 European

Conference_Location

Strasbourg

Print_ISBN

978-3-9524269-1-3

Type

conf

DOI

10.1109/ECC.2014.6862203

Filename

6862203