Transient stability improvement using neuro-fuzzy controller design for STATCOM

Author

Dhal, P.K. ; Rajan, C. Christober Asir

Author_Institution

Dept. of EEE, Sathyabama Univ., Chennai, India

fYear

2012

fDate

30-31 March 2012

Firstpage

510

Lastpage

515

Abstract

This paper presents a transient stability improvement using neural-fuzzy controller design for STATCOM with static synchronous time critical error and better damping system oscillations after a short circuit fault. This article on a STATCOM Control for transient stability improvement has proposed a system to meet with the addition of Lyapunov stability criterion to the ability and conditions as well. The performance is analyzed using digital simulation with (SMIB) with infinite bus.

Keywords

control system synthesis; digital simulation; fuzzy control; neurocontrollers; oscillations; power system transient stability; static VAr compensators; Lyapunov stability criterion; SMIB; STATCOM control; damping system oscillations; infinite bus; neuro-fuzzy controller design; short circuit fault; static synchronous time critical error; transient stability improvement; Artificial neural networks; Automatic voltage control; Stability analysis; Switches; Transient analysis; Fuzzy Logic; Neural Network; STATCOM; lyapunov energy function; transient stability;

fLanguage

English

Publisher

ieee

Conference_Titel

Advances in Engineering, Science and Management (ICAESM), 2012 International Conference on

Conference_Location

Nagapattinam, Tamil Nadu

Print_ISBN

978-1-4673-0213-5

Type

conf

Filename

6216166