<abstract xmlns="http://www.w3.org/1999/xhtml"><p> The objective of this paper is to investigate the power system damping enhancement via power system stabilizers (PSSs). However, the conventional power system stabilizers (CPSSs) have certain drawbacks. There are many techniques proposed in the literature for damping improvement of low frequency power system oscillations. In this paper, adaptive neuro-fuzzy inference system (ANFIS) technology has been proposed to coordinate the CPSSs in a multi-machine power system. The time-domain simulations are carried out in Matlab/Simulink environment to validate the effectiveness of the proposed control scheme under different operating conditions.</p></abstract>

The objective of this paper is to investigate the power system damping enhancement via power system stabilizers (PSSs). However, the conventional power system stabilizers (CPSSs) have certain drawbacks. There are many techniques proposed in the literature for damping improvement of low frequency power system oscillations. In this paper, adaptive neuro-fuzzy inference system (ANFIS) technology has been proposed to coordinate the CPSSs in a multi-machine power system. The time-domain simulations are carried out in Matlab/Simulink environment to validate the effectiveness of the proposed control scheme under different operating conditions.

Comparison of Damping Performance of Conventional And Neuro–Fuzzy Based Power System Stabilizers Applied in Multi–Machine Power Systems

Electrical and Electronics Engineering, Government College of Engineering, Salem 636 011, Tamilnadu, India

Electrical and Electronics Engineering, Government College of Technology, Coimbatore 641 013, Tamilnadu, India

Journal of Electrical Engineering

The objective of this paper is to investigate the power system damping enhancement via power system stabilizers (PSSs). However, the conventional power system...

Comparison of Damping Performance of Conventional And Neuro–Fuzzy Based Power System Stabilizers Applied in Multi–Machine Power Systems

Online veröffentlicht: 23. Nov. 2013

Seitenbereich: 366 - 370

DOI: https://doi.org/10.2478/jee-2013-0055

Schlüsselwörter
ANFIS, CPSS, damping enhancement, low frequency oscillations, multi-machine power system, timedomain simulation

This content is open access.

Comparison of Damping Performance of Conventional And Neuro–Fuzzy Based Power System Stabilizers Applied in Multi–Machine Power Systems

Online veröffentlicht: 23. Nov. 2013

Seitenbereich: 366 - 370

DOI: https://doi.org/10.2478/jee-2013-0055

SchlüsselwörterANFIS, CPSS, damping enhancement, low frequency oscillations, multi-machine power system, timedomain simulation

This content is open access.

Schlüsselwörter
ANFIS, CPSS, damping enhancement, low frequency oscillations, multi-machine power system, timedomain simulation