The electronically interfaced photovoltaic (PV) system and its control approach form an intrinsic part of the distributed generation (DG) system. This study proposes pseudo affine projection (PAP)-assisted multitasking control scheme for grid-integrated DG inverter under input grid voltage disturbances. The PAP approach is based on the convergence of active weighted values and is independent of the input signal property, which manifests a discrete characteristic. Additionally, it exhibits a unique capability of updating weight based on multiple, delayed input signal vectors. The fundamental distinguishing feature of the proposed PAP is its intrinsic learning behaviour and therefore it provides an optimal solution to the ingrained paradox between steady-state misadjustment and convergence speed compared to its conventional counterpart affine projection. The PAP-assisted algorithm practically enables DG inverter to perform multiple tasks including suppression of source current harmonics, unbalancing, and neutral current. It also provides load reactive current support with unity power factor operation while transferring the maximum active power into the utility grid. The practicality of the proposed PAP algorithm is investigated through MATLAB/Simulink software. Finally, the experimental results recorded with the dSPACE-1104 based real-time control platform show good to excellent agreement with simulations in the steady-state, as well as transient phenomena.

中文翻译：

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伪仿射投影辅助多任务处理方法改善了电网交互式光伏（PV）系统的电能质量

电子界面光伏（PV）系统及其控制方法构成了分布式发电（DG）系统的固有部分。该研究提出了在输入电网电压扰动下，电网集成DG逆变器采用伪仿射投影（PAP）辅助的多任务控制方案。PAP方法基于有效加权值的收敛，并且与输入信号属性无关，后者表现出离散特性。此外，它还具有基于多个延迟的输入信号向量更新权重的独特功能。拟议的PAP的基本区别特征是其固有的学习行为，因此与传统的仿射仿射投影相比，它为稳态失调和收敛速度之间的根深蒂固的悖论提供了最佳解决方案。PAP辅助算法实际上使DG逆变器能够执行多种任务，包括抑制源电流谐波，不平衡和中性线电流。它还提供负载无功电流支持和统一功率因数操作，同时将最大有功功率传输到公用电网中。通过MATLAB / Simulink软件研究了提出的PAP算法的实用性。最后，