基于模糊逻辑的固体氧化物燃料电池风能转换系统的未来与激进教学法的激情

M. Lalitha, T. Janardhan, R. Mohan
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引用次数: 2

摘要

提出了一种与固体氧化物燃料电池(SOFC)集成的新型风能转换系统控制系统。近年来,双馈感应发电机(DFIG)因其变速和变节距控制而越来越受到人们的欢迎。集成双馈感应发电机的SOFC燃料电池维持电网电压恒定440 V和50 Hz的动态模型。变速DFIG采用传统的矢量控制技术来保持恒频。现有文献采用基于PI控制器的矢量控制技术对DFIG进行控制。在这项工作中,提出了模糊逻辑控制器来降低电网电流的总谐波畸变。利用MATLAB SIMULINK对PI控制和所提出的控制方法对系统在负荷突变情况下的性能进行了比较。
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The future of fuzzy logic based wind energy conversion system with solid oxide fuel cell and the passions of radical pedagogy
This paper presents a novel control system for wind energy conversion system integrated with Solid oxide fuel cell (SOFC). In recent years the Double-Fed Induction Generator (DFIG) gaining more popular due to their variable speed and variable pitch control. A dynamic model of SOFC fuel cell integrated with a doubly fed induction generator to maintain grid voltage constant 440 V and 50 Hz. The conventional vector control technique is used in the variable speed DFIG to maintain constant frequency. Existing literature used PI controller based vector control technique for the control of DFIG. In this work, fuzzy logic controller is proposed to decrease total harmonic distortion in grid current. The performance of the system for sudden load changes with PI control and proposed control technique has been obtained and compared, by using MATLAB SIMULINK.
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