Automatic PV Array Reconfiguration under Partial Shading Conditions

Abstract

Photovoltaic (PV) arrays have been recognized as one of the main clean renewable sources of electrical energy. In practice, PV arrays are subject to unavoidable non-uniform partial shading (PS) due to clouds, buildings, dust, etc. PS causes the hot spot problem, mismatch losses, and output power degradation. A widely used approach to mitigate the effect of PS is dynamic reconfiguration, where, the interconnection of PV panels is modified according to the shading condition to achieve maximum output. Dynamic reconfiguration techniques use sensors, a programmable controller, and a switch matrix for optimal operation. However, they have drawbacks such as system complexity and scalability issues. For instance, reducing the number of switches limits the flexibility of the reconfiguration algorithm. In this paper, an automatic dynamic reconfiguration scheme is proposed in which PV panel irradiation activity controls the interconnection of switches, without the need for a programmable controller. A modular building block is proposed from which easily scalable PV arrays can be constructed in a hierarchical manner. Experimental and analytic results have verified the effectiveness of the proposed reconfiguration scheme.

A Scalable Hierarchical Dynamic PV Array Reconfiguration under Partial Shading

“…This approach involves actively switching between different array configurations to bypass shaded modules and maximize energy generation. One notable example is the Automatic Switch Block (ASB) method, introduced in [24], which dynamically adjusts panel connections without a controlling algorithm, achieving over 12% power improvement compared to existing methods. Another promising technique is the L-shaped propagated array configuration method presented in [25], effectively analyzing various shading patterns and outperforming other configurations in terms of power output and efficiency.…”

“…However, scaling up these techniques to large-scale PV arrays poses significant challenges due to the increasing complexity and cost associated with managing a large number of modules and switches [38,39]. To address these challenges, researchers are exploring novel DR methods that utilize auxiliary modules [40], relay-based switching schemes [31], or modular building blocks [24] to reduce the number of switches and simplify system design. These approaches aim to achieve scalability while maintaining performance and cost-effectiveness [24,31,40].…”

“…To address these challenges, researchers are exploring novel DR methods that utilize auxiliary modules [40], relay-based switching schemes [31], or modular building blocks [24] to reduce the number of switches and simplify system design. These approaches aim to achieve scalability while maintaining performance and cost-effectiveness [24,31,40].…”