A Review on Improving Power System Stability Using Meta-Heuristic Optimization Algorithms for Power System Stabilizer Tuning

Signal Processing and Renewable Energy

مقالات آماده انتشار، پذیرفته شده، انتشار آنلاین از تاریخ 08 آذر 1402

نوع مقاله: Review Articles

نویسندگان

Sayed Mohammad Ali Zanjani¹؛ Mehdi Mahdavian^{* 2}؛ Mohammad Amin Honarvar³؛ Mehdi Riahinasab³؛ Arman Fattollahi⁴

¹Department of Electrical Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran.

²Department of Electrical Engineering, Naein Branch, Islamic Azad University, Naein, Isfahan, Iran

³Najafabad Branch, Islamic Azad University

⁴Department of Electrical and Computer Engineering, Aarhus University, Aarhus, Denmark

چکیده

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

کلیدواژه‌ها

Power system؛ intelligent design؛ optimization؛ power system stabilizer