Rahman Md Maksudur, Ahmed Ashik, Galib Md Mehedi Hassan, Moniruzzaman Md
Department of Electrical and Electronic Engineering, Islamic University of Technology (IUT), Boardbazar, Gazipur, Bangladesh.
ISA Trans. 2021 Oct;116:97-112. doi: 10.1016/j.isatra.2021.01.031. Epub 2021 Jan 28.
Low frequency oscillation (LFO) is one of the major concerns for reliable operation of the power system. This LFO occurs due to the failure of the rotor to supply sufficient damping torque to compensate the imbalance between mechanical input and electrical output. Hence, in this paper, we adopt a third generation flexible AC transmission system (FACTS) device named generalized unified power flow controller (GUPFC) based damping controller in order to investigate its effect for mitigating LFO for an single machine infinite bus (SMIB) system. To find an effective damping controller-optimizer pair, we integrate proportional-integral (PI) or lead-lag as a controller and grey wolf optimizer (GWO), differential evolution (DE), particle swarm optimization (PSO), whale optimization algorithm (WOA), and chaotic whale optimization algorithm (CWOA) as an optimizer. Later, we investigate the performances for the above mentioned controller-optimizer pairs through time domain simulation, eigenvalue analysis, nyquist stability test, and quantitative analysis. Moreover, we carry out two non-parametric statistical tests named as one sample Kolmogorov-Smirnov (KS) test and paired sample t-test to identify statistical distribution as well as uniqueness of our optimization algorithms. Our analyses reveal that the GWO tuned lead-lag controller surpasses all other controller-optimizer combinations.
低频振荡（LFO）是电力系统可靠运行的主要关注点之一。这种低频振荡是由于转子未能提供足够的阻尼转矩来补偿机械输入和电气输出之间的不平衡而发生的。因此，在本文中，我们采用了一种名为广义统一潮流控制器（GUPFC）的第三代灵活交流输电系统（FACTS）装置作为阻尼控制器，以研究其对单机无穷大母线（SMIB）系统减轻低频振荡的效果。为了找到有效的阻尼控制器 - 优化器组合，我们将比例积分（PI）或超前 - 滞后作为控制器，并将灰狼优化算法（GWO）、差分进化算法（DE）、粒子群优化算法（PSO）、鲸鱼优化算法（WOA）和混沌鲸鱼优化算法（CWOA）作为优化器进行整合。随后，我们通过时域仿真、特征值分析、奈奎斯特稳定性测试和定量分析来研究上述控制器 - 优化器组合的性能。此外，我们进行了两个非参数统计测试，即单样本柯尔莫哥洛夫 - 斯米尔诺夫（KS）测试和配对样本t检验，以确定我们优化算法的统计分布以及独特性。我们的分析表明，GWO调谐的超前 - 滞后控制器优于所有其他控制器 - 优化器组合。
