首页> 外文会议>Electrical Power Distribution Networks (EPDC), 2012 Proceedings of 17th Conference on >Novel methodologies with Fuzzy Logic and ANFIS controller based TCSC for mitigating sub-synchronous resonance and low-frequency power oscillations
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Novel methodologies with Fuzzy Logic and ANFIS controller based TCSC for mitigating sub-synchronous resonance and low-frequency power oscillations

机译:具有模糊逻辑和基于TCSC的ANFIS控制器的新型方法,可减轻次同步谐振和低频功率振荡

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The Sub-Synchronous Resonance (SSR) phenomenon may occurs when a steam turbine-generator is connected to a long transmission line with series compensation. Flexible AC Transmission Systems (FACTS) controllers are widely applied to damp SSR and Low-Frequency Oscillations (LFOs). The Thyristor-Controlled Series Capacitor (TCSC) is a commercially available FACTS device developed for damping SSR and LFO. In this paper, two novel control methods for damping SSR and LFO is added to the TCSC main control. The control methods are presented, namely: Fuzzy Logic Controller (FLC) and Adaptive Neuro-Fuzzy Inference System (ANFIS) controller. The suggested ANFIS controller combines the advantages of FLC as well as the quick response and adaptability nature of the Artificial Neural Network (ANN). The ANFIS constructions were trained utilizing the generated database by the FLC of the TCSC. Fast Fourier Transform (FFT) is carried out in order to evaluate the effect of TCSC based ANFIS controller in damping SSR and LFO. The study system was adopted from the IEEE Second Benchmark Model (ISBM) by altering a part of the fixed series capacitor to the TCSC. The MATLAB/SIMULINK software program was used to verify the effectiveness of each control method.
机译:当蒸汽涡轮发电机连接到具有串联补偿的长输电线路时,可能会发生亚同步谐振(SSR)现象。灵活的交流传输系统(FACTS)控制器广泛应用于阻尼SSR和低频振荡(LFO)。晶闸管控制串联电容器(TCSC)是为抑制SSR和LFO而开发的市售FACTS器件。在本文中,将两种用于阻尼SSR和LFO的新颖控制方法添加到TCSC主控制中。提出了控制方法,即:模糊逻辑控制器(FLC)和自适应神经模糊推理系统(ANFIS)控制器。建议的ANFIS控制器结合了FLC的优点以及人工神经网络(ANN)的快速响应和适应性。 TCSC的FLC利用生成的数据库对ANFIS的构造进行了培训。为了评估基于TCSC的ANFIS控制器在阻尼SSR和LFO中的效果,进行了快速傅里叶变换(FFT)。通过将固定串联电容器的一部分更改为TCSC,该研究系统从IEEE第二基准模型(ISBM)中采用。使用MATLAB / SIMULINK软件程序来验证每种控制方法的有效性。

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