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Modified leaky LMS-based control strategy for reliable operation of single-stage three-phase grid-tied PV system

机译:用于单级三相网格连接光伏系统可靠运行的改进的漏电LMS控制策略

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摘要

This study presents development of a modified leaky least mean square (MLLMS)-based control strategy for a single-stage three-phase grid-tied photovoltaic (PV) system. In the proposed MLLMS-based control scheme, the authors employ an incremental conductance maximum power point tracking algorithm for maximum power extraction, MLLMS algorithm for extraction of fundamental active and reactive components of the load current, delivering PV power to the grid, balancing the grid current and compensating harmonics of the connected loads at the point of common coupling. By virtue of a leakage factor and selection of sum of the exponential of the adaptation error in the cost function, the MLLMS algorithm overcomes the problems of drifting, low convergence and oscillations in weights encountered by some popular adaptive algorithms, e.g. least mean square (LMS) and least mean fourth (LMF) algorithms. The proposed control scheme is simulated in MATLAB/Simulink environment under different load and environmental conditions. Subsequently, the proposed control scheme is realised on a prototype grid-tied PV system developed in the laboratory. From both the simulation and experimental results, it is observed that the proposed MLLMS algorithm outperforms LMS and LMF algorithms in terms of mean square error, oscillation in weights and total harmonic distortions of the grid currents.
机译:该研究介绍了用于单级三相纹光伏(PV)系统的改进的泄漏最小平均方形(MLLMS)的控制策略。在提出的基于MLLMS的控制方案中,作者采用了用于最大功率提取的增量电导最大功率点跟踪算法,用于提取负载电流的基本有源和无功组件的MLLMS算法,向网格提供PV电源,平衡网格在公共耦合点处连接负载的电流和补偿谐波。借助于泄漏因子和成本函数中适应误差指数的指数的总和,MLLMS算法克服了一些流行自适应算法遇到的重量漂移,低收敛和振荡的问题,例如,最小均方(LMS)和最小均值第四(LMF)算法。在不同的负载和环境条件下,在Matlab / Simulink环境中模拟了所提出的控制方案。随后,在实验室开发的原型网格连接的PV系统上实现了所提出的控制方案。从模拟和实验结果中,观察到所提出的MLLMS算法在均方误差方面优于LMS和LMF算法,重量振荡和电网电流的总谐波畸变。

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