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Drift-Free Perturb and Observe MPPT Algorithm With Improved Performance for SEIG-Based Stand-Alone Wind Energy Generation System

机译:无漂移的扰动和观察MPPT算法,改进了基于SEIG的独立风能产生系统的性能

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摘要

This article proposes a drift-free perturb and observe (P&O) maximum power point tracking (MPPT) algorithm for a self-excited induction generator-based stand-alone wind energy generation system (WEGS). Conventional P&O algorithm gives more steady-state oscillation and fails to detect correct direction during wind speed increase condition. To avoid this, the proposed algorithm uses additional dc-link current information for the steady-state and transient conditions, which also decreases the power oscillation around maximum power point (MPP). During sudden wind speed change, the tracking speed of the algorithm increases considerably, and depending on sign of change in dc-link current, it perturbs in the right direction without drift. Corresponding theoretical analysis confirms that only in speed increase condition, the change in dc-link current sign is positive. To validate this algorithm, a laboratory prototype of the stand-alone WEGS is developed and implemented in DS1103 digital platform. The performance of the proposed technique is compared with both conventional speed sensor-based and speed sensorless algorithms. The proposed algorithm does not require any extra sensor to observe wind speed change and has a good tracking response and higher efficiency compared to conventional P&O.
机译:本文提出了一种无漂移的扰动和观察(P&O)最大功率点跟踪(MPPT)算法,用于自兴的感应发电机的独立风能发电系统(WEGS)。传统的P&O算法提供了更稳态振荡,并且在风速增加条件下无法检测正确的方向。为避免这种情况,所提出的算法使用额外的DC链路电流信息进行稳态和瞬态条件,这也降低了最大功率点(MPP)周围的功率振荡。在突然的风速变化期间,算法的跟踪速度显着增加,并且根据直流连杆电流的变化的符号,它在正确的方向上不漂移。相应的理论分析证实只有在速度增加条件下,DC-Link电流符号的变化是正的。为了验证该算法,在DS1103数字平台中开发并实施了独立WEGS的实验室原型。将所提出的技术的性能与常规速度传感器的基于传感器和速度无传感器算法进行比较。该算法不需要任何额外的传感器来观察风速变化,并且与传统的P&O相比具有良好的跟踪响应和更高的效率。

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