基于参数自适应的孤岛检测算法研究

Research on the Islanding Detection Algorithm Based on Parameter Adaptive

  • 摘要: 本文从孤岛检测盲区和电流谐波畸变率两种孤岛检测算法有效性评价指标出发,根据算法参数与检测盲区和电流谐波畸变率之间的关系,对主动频率偏移法(AFD)和Sandia频率偏移法(SFS)进行了算法改进,提出一种基于参数自适应的孤岛检测算法。使得在负载发生变化时,能够进行自动参数择优,提高孤岛检测成功率,并减小电流谐波畸变率,最后通过仿真验证了该改进算法的优越性。

     

    Abstract: From the non-detection zone and the current harmonic distortion, which are two effectiveness indexes of islanding detection, according to the relationship between the parameters of islanding detection algorithm and the non-detection zone and harmonic distortion, a new algorithm based on parameter adaptive is proposed to improve the active frequency drift (AFD) and the Sandia frequency shift (SFS) algorithm. It can select more appropriate parameter, when the load changes. And it proved that in the improved algorithm, the success rate of islanding detection became higher, and the harmonic distortion became smaller by simulation.

     

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