Fuzzy Logic Controller Based on Observed Signals and a Genetic Algorithm Application with STATCOM for Power System Stabilization (特集 電力・エネルギーシステム分野における英文論文)
Fuzzy Logic Controller Based on Observed Signals and a Genetic Algorithm Application with STATCOM for Power System Stabilization (特集 電力・エネルギーシステム分野における英文論文)
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基于观测信号的模糊逻辑控制器和遗传算法与STATCOM在电力系统稳定中的应用（专题：电力与能源系统领域的英文论文）
DOI：
10.1541/ieejpes.123.589
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发表时间：
2003
期刊：
影响因子：
--
通讯作者：
K. Tsuji
中科院分区：
文献类型：
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作者：
K. Hongesombut;Y. Mitani;K. Tsuji
模糊逻辑控制在电力系统中有着广泛的应用。它的控制规则和隶属函数通常是通过试错法或经验知识获得的。提出了一种微遗传算法（micro-GA）的应用程序，同时设计STATCOM的最优隶属函数和控制规则。首先，我们提出了一个简单的方法来提取隶属函数和模糊逻辑控制规则的基础上观察到的信号。然后提出了一种遗传算法将被应用于优化隶属度函数及其控制规则。为了验证所提出的方法的有效性，几个仿真研究已经进行了多机电力系统。仿真结果表明，所提出的模糊逻辑控制器与STATCOM可以有效地和鲁棒性提高振荡的阻尼。
Fuzzy logic control has been applied to various applications in power systems. Its control rules and membership functions are typically obtained by trial and error methods or experience knowledge. Proposed here is the application of a micro-genetic algorithm (micro-GA) to simultaneously design optimal membership functions and control rules for STATCOM. First, we propose a simple approach to extract membership functions and fuzzy logic control rules based on observed signals. Then a proposed GA will be applied to optimize membership functions and its control rules. To validate the effectiveness of the proposed approach, several simulation studies have been performed on a multimachine power system. Simulation results show that the proposed fuzzy logic controller with STATCOM can effectively and robustly enhance the damping of oscillations.