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...

Celý popis

Uložené v:
Podrobná bibliografia
Vydané v:Ain Shams Engineering Journal Ročník 14; číslo 10; s. 102174
Hlavní autori: Hemeida, Mahmoud, Osheba, Dina, Alkhalaf, Salem, Fawzy, Asmaa, Ahmed, Mahrous, Roshdy, Mohamed
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Elsevier B.V 01.10.2023
Elsevier
Predmet:
ITAE
Multi-machine power systems
Optimization Techniques
PID controller
PSS
Transient stability
Multi-machine power systems
PSS
PID controller
Transient stability
ITAE
Optimization Techniques
ISSN:2090-4479
On-line prístup:Získať plný text
Tagy: Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
Popis
Shrnutí: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.
ISSN:2090-4479
DOI:10.1016/j.asej.2023.102174