Qalaai Zanist Scientific Journal
گۆڤارى قەڵاى زانست

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ISSN 2518-6558 (Print)
Qalaai Zanist Scientific Journal  
Volume 2, Issue 2, April 2017

Copyright Statement: This is an open access publication licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

 
Paper Title: Intelligent Fault Recovery Controller for Power Generator at Perdawd CCGS in Kurdistan-Iraq
Author (s): Wassan Adnan Hashim
Faiz Al Alawy
https://doi.org/10.25212/lfu.qzj.2.2.34
   
Index Terms: ANFIS, CCGS, KRPS, Genetic algorithm, Power System Stabilizer, objective function.
Abstract: Different Artificial Intelligent (AI) tools are becoming commonly used to design different intelligent controllers. The objective of this work is to investigate the performance of a suggested intelligent controller of a specific power generation system during and after sadden faults. Two types of AI tools, genetic algorithms and adaptive neuro-fuzzy inference system, have been used in this work to design a control unit for the power station mentioned above as a case study. Simulated models were designed to optimize the control parameters to enhance the performance. A wide range of training data pairs was used to train the controllers and then to test the system performance. A comparison between the performance of the intelligent and conventional controllers has been introduced. The simulation results show a clear prove that the intelligent controller is outperform the classical one especially during the fault recovery time. Damping performance, oscillation, the system stability and the dynamic performance of electrical power system have been studied.
   
Cite This Paper (APA): Adnan Hashim, W., & Al Alawy, F. (2017). Intelligent Fault Recovery Controller for Power Generator at Perdawd CCGS in Kurdistan-Iraq. Qalaai Zanist Scientific Journal, 2(2). doi:10.25212/lfu.qzj.2.2.34
Text Language: English
Pp.: 332 - 342
Full Text:
 
 


INVITATION

Researchers and readers of Qalaai zanist are invited to submit their articles with Kurdish, Arabic or English language (to qalaai-zanist@lfu.edu.krd) that are consistent with the objective of this journal for publishing in the future issues.

 
 
 
 
 
 

A Scientific Quarterly Refereed Journal, Published by Lebanese French University (LFU) , Erbil - Kurdistan, Iraq
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