Design of a robust and adaptive fuzzy-logic-based power system stabilizer (RAFLPSS) for damping low frequency electromechanical oscillations

2012 ◽  
Author(s):  
Mahabuba Abdurrahim ◽  
Abdullah Khan M. ◽  
Ali Ahmed Edriss
2009 ◽  
Vol 36 (10) ◽  
pp. 12104-12112 ◽  
Author(s):  
T. Hussein ◽  
M.S. Saad ◽  
A.L. Elshafei ◽  
A. Bahgat

2018 ◽  
Vol 24 (3) ◽  
pp. 97 ◽  
Author(s):  
Hanan Mikhael Habbi ◽  
Ahmed Alhamadani

To damp the low-frequency oscillations which occurred due to the disturbances in the electrical power system, the generators are equipped with Power System Stabilizer (PSS) that provide supplementary feedback stabilizing signals. The low-frequency oscillations in power system are classified as local mode oscillations, intra-area mode oscillation, and interarea mode oscillations. A suitable PSS model was selected considering the low frequencies oscillation in the inter-area mode based on conventional PSS and Fuzzy Logic Controller. Two types of (FIS) Mamdani and suggeno were considered in this paper. The software of the methods was executed using MATLAB R2015a package.    


2018 ◽  
Vol 7 (3) ◽  
pp. 24-46
Author(s):  
Sourav Paul ◽  
Provas Roy

In this article, an Oppositional Differential search algorithm (ODSA) is comprehensively developed and successfully applied for the optimal design of power system stabilizer (PSS) parameters which are added to the excitation system to dampen low frequency oscillation as it pertains to large power system. The effectiveness of the proposed method is examined and validated on a single machine infinite bus (SMIB) using the Heffron-Phillips model. The most important advantage of the proposed method is as it reaches toward the optimal solution without the optimal tuning of input parameters of the ODSA algorithm. In order to verify the effectiveness, the simulation was made for a wide range of loading conditions. The simulation results of the proposed ODSA are compared with those obtained by other techniques available in the recent literature to demonstrate the feasibility of the proposed algorithm.


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