This article proposes a new control algorithm that improves the dynamic performance in distributed maximum power point tracking systems. Systems with these architectures allow to increase the photovoltaic power harvested in case of partial shading and irradiance mismatch. The classical approach adopts distributed DC/DC power electronics and control without any centralized action, which makes difficult to know whether the system is working on its optimal operating point or not. The new control algorithm presented in this paper exploits the benefits of the vectorial multi-variable perturb & observe logic and acts on the control sequence under varying irradiance conditions, reducing voltage stresses at the DC/DC converters output terminals. In addition, the matching with the DC-bus voltage control is discussed, providing a centralized control to the overall system, a fact barely addressed in literature. Simulation results and experimental measurements validate the proposed approach showing improved dynamic performance and system stability.

中文翻译：

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具有中央和分布式MPPT联合配置的并网光伏系统的多变量扰动和观测算法

本文提出了一种新的控制算法，可以提高分布式最大功率点跟踪系统的动态性能。具有这些架构的系统可以在部分阴影和辐照度不匹配的情况下增加所收集的光伏功率。经典方法采用分布式DC / DC电力电子设备和控制，而无需任何集中动作，这使得很难知道系统是否在其最佳工作点上工作。本文提出的新控制算法利用了矢量多变量扰动和观察逻辑的优势，并在变化的辐照条件下作用于控制序列，从而降低了DC / DC转换器输出端子上的电压应力。此外，还讨论了与直流母线电压控制的匹配，提供对整个系统的集中控制，这在文献中几乎没有解决。仿真结果和实验测量结果验证了所提出的方法具有更好的动态性能和系统稳定性。