شنبه 15 اردیبهشت 1403
| عنوان مقاله | |
| عنوان مقاله |
New neural network and fuzzy logic controllers to monitor maximum power for wind energy conversion system |
| عنوان فارسی مقاله | شبکه عصبی جدید و کنترل کننده های منطق فازی برای نظارت بر حداکثر قدرت برای سیستم تبدیل انرژی باد |
| مشخصات مقاله انگلیسی | |
| نشریه: Elsevier |
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| سال انتشار |
2016 |
| عنوان مجله |
Energy |
| تعداد صفحات مقاله انگلیسی | 10 |
| رفرنس | دارد |
| تعداد رفرنس | 33 |
| چکیده مقاله | |
| چکیده |
This work presents a new control strategy to ensure maximum power point tracking for a DFIG (doubly fed induction generator) based WECS (wind energy conversion system). The proposed strategy uses neural networks and fuzzy logic controllers to control the power transfer between the machine and the grid using the indirect vector control and reactive power control techniques. This transfer is ensured by controlling the rotor via two identical converters. The first converter is connected to the RSC (rotor side) and the second is connected to the GSC (grid side) via a filter. The DC (Direct Current) link voltage is controlled by a fuzzy controller. This control strategy is used to control the rotor side currents and to protect the generator by limiting the output current (or voltage). |
| کلمات کلیدی |
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| دانلود | |
