电力系统
MATLAB语言
控制理论(社会学)
情态动词
稳定器(航空)
时域
遗传算法
理论(学习稳定性)
边距(机器学习)
模态分析
灵敏度(控制系统)
工程类
功率(物理)
频域
计算机科学
控制工程
数学优化
数学
电子工程
有限元法
结构工程
化学
物理
控制(管理)
量子力学
人工智能
机器学习
高分子化学
计算机视觉
操作系统
作者
A. Sheykhsarraf,M. Abedini,M. Davarpanah
标识
DOI:10.1016/j.epsr.2023.109451
摘要
This paper introduces a new method for optimal placement of power system stabilizers (PSS) and tuning them simultaneously in the multi-machine system. This method is based on an improved genetic algorithm (GA), and the power system model is very accurate. This method determines the best place to install the stabilizers, using the least number of PSS and tuning their parameters simultaneously to move the poles to the left of the imaginary axis and maximize the damping ratio of mechanical modes. In addition, the proposed algorithm can consider any of the critical conditions, which are obtained based on sensitivity analysis, and suggest a robust setting for stabilizers. After implementing the proposed algorithm in MATLAB, the modal analysis and time-domain simulations in IEEE 9Bus and IEEE 39Bus systems were compared with other algorithms. The results confirm that the proposed algorithm can effectively improve dynamic stability margin.
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