A novel controller algorithm to improve stability of power system based on a hybrid of fuzzy controller and Gray wolf optimization by coordinating PSS and TCSC with considering uncertainty

被引：0
作者：
Abedini, Mohamad [1 ]
机构：
[1] Faculty of Engineering, Ayatollah Boroujerdi University, Boroujerd
来源：
Soft Computing | 2024年 / 28卷 / 23期
关键词：
Fuzzy controller; GWO; Power system; Stability; Uncertainty;
D O I：
10.1007/s00500-024-10369-y
中图分类号：
学科分类号：
摘要：
Increased transmission line loading reduces the effectiveness of power system stabilizers in damping oscillations. FACTS devices offer a solution for improving power transmission and system damping. This study proposes a control scheme that combines a fuzzy controller with an optimal linear-quadratic regulator (LQR) controller to enhance power system stability under various disturbance conditions. Additionally, a Gray Wolf Optimizer (GWO) algorithm is employed to adjust the fuzzy function limits, enabling the controller to adapt to system variations. Power system controllers, including a power system stabilizer (PSS) and a thyristor-controlled series capacitor (TCSC), are used concurrently. The controller coefficients and weighting matrices are also optimally designed. The controller’s performance is evaluated under seven different scenarios. The results demonstrate that the proposed controller achieves a significant reduction in the performance index value compared to other methods like the Whale Optimization Algorithm (WOA), seeker optimization algorithm (SOA), and shuffled frog-leaping algorithm (SFLA), with improvements of 27.54%, 9.05%, and 16.22%, respectively. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024.
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页码：13225 / 13243
页数：18
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