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International Journal of Innovation and Scientific Research
ISSN: 2351-8014
 
 
Tuesday 17 July 2018

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ANFIS Approach Applied to PSS and SSSC Controllers for Power System Damping Improvement


Volume 22, Issue 1, April 2016, Pages 24–32

 ANFIS Approach Applied to PSS and SSSC Controllers for Power System Damping Improvement

D. MURALI

Original language: English

Received 14 February 2016

Copyright © 2016 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract


The transmission line transfer capability and power system stability are greatly affected by the low frequency electromechanical oscillations. The conventional approach to damp these oscillations is by the use of Power System Stabilizers (PSSs). However, the capability of Flexible AC Transmission System (FACTS) controllers, such as Static Synchronous Series Compensators (SSSCs) and Unified Power Flow Controllers (UPFCs), has been explored and proven. This paper investigates and compares the dynamic performance of conventional and Adaptive Neuro-Fuzzy Inference System (ANFIS) based PSS and SSSC controllers applied in a two-area power system. The time domain simulation results, carried out in Matlab / Simulink platform, of the two-area power system subjected to different operating conditions, validate the efficiency of the proposed robust and simple approach with very good dynamic responses. The results demonstrate that the ANFIS based SSSC controllers show good damping performance characteristics in terms of both reduced amplitudes and settling times of oscillations compared to ANFIS based PSS controllers.

Author Keywords: ANFIS, Damping performance, FACTS, Low frequency oscillations, Matlab / Simulink, PSS, SSSC, Two-area power system, UPFC.


How to Cite this Article


D. MURALI, “ANFIS Approach Applied to PSS and SSSC Controllers for Power System Damping Improvement,” International Journal of Innovation and Scientific Research, vol. 22, no. 1, pp. 24–32, April 2016.