Optimized PID controller using Archimedes optimization algorithm for transient stability enhancement

Traditional power system stabilizer (PSS) is an effective controller to damp out low frequency oscillation (LFO) through the excitation system. Adding proportional integral derivative (PID) controller improves the performance of PSS controller. This paper propose Archimedes optimization algorithm (A...

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Published in:Ain Shams Engineering Journal Vol. 14; no. 10; p. 102174
Main Authors: Hemeida, Mahmoud, Osheba, Dina, Alkhalaf, Salem, Fawzy, Asmaa, Ahmed, Mahrous, Roshdy, Mohamed
Format: Journal Article
Language:English
Published: Elsevier B.V 01.10.2023
Elsevier
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ISSN:2090-4479
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Abstract Traditional power system stabilizer (PSS) is an effective controller to damp out low frequency oscillation (LFO) through the excitation system. Adding proportional integral derivative (PID) controller improves the performance of PSS controller. This paper propose Archimedes optimization algorithm (AOA) to improve the performance of series PSS-PID controller through adjusting the tuning parameters to effectively damp out LFO and improve power system transient stability in western system coordinate council (WSCC) power system. AOA is used to optimize the system based on minimizing the integral time absolute error (ITAE) of rotor angular speed. A nonlinear model of WSCC system and PSS-PID controller are simulated under three phase short circuit fault applied at terminals of machines. The system has been tested without PSS-PID controller. Then, PSS-PID controller is optimized using AOA algorithm and whale optimization algorithm (WOA) to compare between their performances. The system under study is simulated in time-domain using MATLAB software.
AbstractList Traditional power system stabilizer (PSS) is an effective controller to damp out low frequency oscillation (LFO) through the excitation system. Adding proportional integral derivative (PID) controller improves the performance of PSS controller. This paper propose Archimedes optimization algorithm (AOA) to improve the performance of series PSS-PID controller through adjusting the tuning parameters to effectively damp out LFO and improve power system transient stability in western system coordinate council (WSCC) power system. AOA is used to optimize the system based on minimizing the integral time absolute error (ITAE) of rotor angular speed. A nonlinear model of WSCC system and PSS-PID controller are simulated under three phase short circuit fault applied at terminals of machines. The system has been tested without PSS-PID controller. Then, PSS-PID controller is optimized using AOA algorithm and whale optimization algorithm (WOA) to compare between their performances. The system under study is simulated in time-domain using MATLAB software.
ArticleNumber 102174
Author Osheba, Dina
Ahmed, Mahrous
Alkhalaf, Salem
Hemeida, Mahmoud
Roshdy, Mohamed
Fawzy, Asmaa
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  organization: Minia Higher institute of Engineering, Minya 61111, Egypt
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  givenname: Dina
  surname: Osheba
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  givenname: Salem
  surname: Alkhalaf
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  givenname: Asmaa
  surname: Fawzy
  fullname: Fawzy, Asmaa
  organization: Department of Electrical Engineering, Faculty of Energy Engineering, Aswan University, Aswan 81528, Egypt
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  givenname: Mohamed
  surname: Roshdy
  fullname: Roshdy, Mohamed
  organization: Electrical Engineering Department, College of Engineering, Taif University, Taif 21944, Saudi Arabia
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Issue 10
Keywords Multi-machine power systems
PSS
PID controller
Transient stability
ITAE
Optimization Techniques
Language English
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Snippet Traditional power system stabilizer (PSS) is an effective controller to damp out low frequency oscillation (LFO) through the excitation system. Adding...
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StartPage 102174
SubjectTerms ITAE
Multi-machine power systems
Optimization Techniques
PID controller
PSS
Transient stability
Title Optimized PID controller using Archimedes optimization algorithm for transient stability enhancement
URI https://dx.doi.org/10.1016/j.asej.2023.102174
https://doaj.org/article/2dd507f16a2a4140823318da66b7420f
Volume 14
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