MPPT strategy based on speed control for AWS-based wave energy conversion system
MPPT strategy based on speed control for AWS-based wave energy conversion system
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DOI：
10.1016/j.renene.2015.04.039
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发表时间：
2015-11-01
期刊：
影响因子：
8.7
通讯作者：
El-Sattar, Ahmed A.
中科院分区：
文献类型：
--
作者：
Marei, Mostafa I.;Mokhtar, Mohamed;El-Sattar, Ahmed A.
直驱式波浪能转换系统中的一种是耦合到线性永磁同步发电机（LPMSG）的阿基米德波浪摆动（AWS）。本文提出了一种集成控制策略的背靠背转换器接口的LPMSG不仅提取最大功率的波，但也穿越故障。建议的最大功率跟踪技术是基于LPMSG的无速度传感器控制。采用无迹卡尔曼滤波器估计平动速度。最佳速度由发电机端的瞬时有功功率得到。此外，低电压穿越控制集成，以满足电网规范的要求，通过注入无功电流在电网扰动。在确定动态无功功率注入时，考虑故障瞬间产生的有功功率，以不超过电网侧转换器的额定值。所提出的策略的优越性是由于它能够调节翻译器的速度，产生最佳的功率。数值模拟进行评估的动态性能的综合优化策略。此外，它已被证明，所提出的方法优于其他的减少功率波动，从而导致减少的转换器的大小。(C)2015爱思唯尔有限公司版权所有。
One of the attractive direct-drive wave energy conversion systems is the Archimedes Wave Swing (AWS) coupled to a Linear Permanent Magnet Synchronous Generator (LPMSG). This paper presents an integrated control strategy for the back-to-back converter interfacing the LPMSG not only to extract the maximum power from the wave, but also to ride-through the fault. The proposed maximum power tracking technique is based on speed sensorless control of the LPMSG. The unscented Kalman filter is adapted to estimate the translator velocity. The optimal velocity is obtained from the instantaneous active power at the generator terminals. Moreover, a low-voltage ride-through control is integrated to satisfy the grid-code requirements by injecting reactive current during grid disturbances. The generated active power at the fault instant is considered in determining the dynamic reactive power injection to not exceed the ratings of the grid-side converter. The superiority of the proposed strategy is the result of its ability to regulate the translator velocity that generates optimum power. Numerical simulations are conducted to evaluate the dynamic performance of the proposed integrated optimal strategy. Besides, it has been shown that the proposed methodology outdoes others by the decreased power fluctuations which leads to a reduction of the converter size. (C) 2015 Elsevier Ltd. All rights reserved.