Abstract This paper presents a low-rated midpoint DC-link capacitor hybrid shunt active power filter (HSAPF) embedded with sliding window (SW) based harmonic detection method for power quality enhancement in a medium-voltage distribution network. The novel composite current control technique utilizes SW based high pass filtering for determining the reference voltages, SW based low pass filtering for absorbing the negative sequence currents of 5th order harmonic. In this study, an additional effort has been made to evaluate the compensation effect of the HSAPF system by using a combinational adaptive linear neural network and dynamic forgetting factor recursive least squares (RLS) (ADALINE-DFFRLS) algorithm. Due to the utilization of dynamic forgetting factor (DFF) mechanism, the DFFRLS based weight updating rule shows faster and accurate estimation results in noisy environments compared to the conventional RLS. The performance of the proposed ADALINE-DFFRLS estimation algorithm is compared with the ADALINE-RLS to exemplify its faster-tracking capability. Extensive simulation is carried out to show the compensating performance of the HSAPF system employing SW based proposed controller under different critical conditions. Additionally, an experimental setup is developed for validation of the proposed control strategy in the real-time using a Spartan 3A DSP processor.

中文翻译：

---

使用基于 SW 的 HSAPF 系统的谐波消除和使用 ADALINE-DFFRLS 算法的补偿效果评估

摘要 本文提出了一种低额定中点直流母线电容器混合并联有源电力滤波器（HSAPF），嵌入了基于滑动窗口（SW）的谐波检测方法，用于提高中压配电网的电能质量。新型复合电流控制技术利用基于 SW 的高通滤波来确定参考电压，基于 SW 的低通滤波用于吸收 5 次谐波的负序电流。在这项研究中，通过使用组合自适应线性神经网络和动态遗忘因子递归最小二乘法 (RLS) (ADALINE-DFFRLS) 算法，进一步努力评估 HSAPF 系统的补偿效果。由于使用了动态遗忘因子（DFF）机制，与传统 RLS 相比，基于 DFFRLS 的权重更新规则在嘈杂环境中显示出更快、更准确的估计结果。将所提出的 ADALINE-DFFRLS 估计算法的性能与 ADALINE-RLS 进行比较，以证明其更快的跟踪能力。进行了广泛的模拟以显示在不同临界条件下采用基于 SW 的建议控制器的 HSAPF 系统的补偿性能。此外，还开发了一个实验装置，用于使用 Spartan 3A DSP 处理器实时验证所提出的控制策略。进行了广泛的模拟以显示在不同临界条件下采用基于 SW 的建议控制器的 HSAPF 系统的补偿性能。此外，还开发了一个实验装置，用于使用 Spartan 3A DSP 处理器实时验证所提出的控制策略。进行了广泛的模拟以显示在不同临界条件下采用基于 SW 的建议控制器的 HSAPF 系统的补偿性能。此外，还开发了一个实验装置，用于使用 Spartan 3A DSP 处理器实时验证所提出的控制策略。