Transient Stability Improvement of a Power System with Parametric Uncertainties Using a Robust Optimal H2 State Feedback Controller | Zendy

Mehdi Mohseni Mirabadi | Zendy; Navid Reza Abjadi | Zendy; Said Hoghoughi-Isfahani | Zendy; Shahrokh Shojaeian | Zendy

Open Access

Transient Stability Improvement of a Power System with Parametric Uncertainties Using a Robust Optimal H₂ State Feedback Controller

Author(s) -

Mehdi Mohseni Mirabadi,

Navid Reza Abjadi,

Said Hoghoughi-Isfahani,

Shahrokh Shojaeian

Publication year - 2014

Publication title -

chinese journal of engineering

Language(s) - English

Resource type - Journals

ISSN - 2314-8063

DOI - 10.1155/2014/131680

Subject(s) - control theory (sociology) , transient (computer programming) , controller (irrigation) , linear matrix inequality , parametric statistics , stability (learning theory) , electric power system , particle swarm optimization , robust control , power (physics) , state (computer science) , transient response , full state feedback , computer science , mathematical optimization , engineering , control engineering , mathematics , control system , control (management) , algorithm , statistics , physics , electrical engineering , quantum mechanics , artificial intelligence , machine learning , agronomy , biology , operating system

In recent years, improvement of dynamic behavior of power systems has interested many researchers and to achieve it, various control methods are proposed. In this paper, in order to improve transient stability of power system, a robust optimal H2 state feedback is employed. In order to appropriate formulation of the problem, linear matrix inequality (LMI) theory is used. To achieve the best answer, controller parameters are tuned using particle swarm algorithm. The obtained results of the proposed method are compared to conventional power system stabilizer

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