A Review on Improving Power System Stability Using Meta-Heuristic Optimization Algorithms for Power System Stabilizer Tuning
محورهای موضوعی : system
Sayed Mohammad Ali Zanjani
1
,
Mehdi Mahdavian
2
,
Mohammad Amin Honarvar
3
,
Mehdi Riahinasab
4
,
Arman Fattollahi
5
1 - Department of Electrical Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran.
2 - Department of Electrical Engineering, Naein Branch, Islamic Azad University, Naein, Isfahan, Iran
3 - Najafabad Branch, Islamic Azad University
4 - Najafabad Branch, Islamic Azad University
5 - Department of Electrical and Computer Engineering, Aarhus University, Aarhus, Denmark
کلید واژه: Optimization, Power System Stabilizer, Power System, intelligent design,
چکیده مقاله :
In the power system, any change in the input or any disturbance causes oscillations in frequency, voltage, and real and reactive power. The Power System Stabilizer (PSS) stands out as a re-nowned and effective equipment for damping power system oscillations, extensively explored in studies aimed at enhancing the dynamic stability of power systems. Challenges such as low-frequency fluctuations and the intricate nature of power systems have spurred the application of intelligent methods and optimization algorithms for addressing PSS-related issues. In this paper, a brief review of the studies conducted in the field of meta-heuristic optimization algorithms for PSS design is presented. Meta-heuristic methods are divided into three groups, and based on them, more than 200 articles have been studied in the field of PSS parameter optimization. The balance between exploration and exploitation is a common theme among all meta-heuristic meth-ods. Researchers and practitioners of meta-heuristic optimization methods belong to a wide range of audiences in the fields of power systems optimization, who will benefit from this research
In the power system, any change in the input or any disturbance causes oscillations in frequency, voltage, and real and reactive power. The Power System Stabilizer (PSS) stands out as a re-nowned and effective equipment for damping power system oscillations, extensively explored in studies aimed at enhancing the dynamic stability of power systems. Challenges such as low-frequency fluctuations and the intricate nature of power systems have spurred the application of intelligent methods and optimization algorithms for addressing PSS-related issues. In this paper, a brief review of the studies conducted in the field of meta-heuristic optimization algorithms for PSS design is presented. Meta-heuristic methods are divided into three groups, and based on them, more than 200 articles have been studied in the field of PSS parameter optimization. The balance between exploration and exploitation is a common theme among all meta-heuristic meth-ods. Researchers and practitioners of meta-heuristic optimization methods belong to a wide range of audiences in the fields of power systems optimization, who will benefit from this research
