A shadow detection approach based on fuzzy logic using images obtained from PV array

Abstract

Shadows on PV arrays influence the energy production performance negatively. There are many methods in the literature related to the detection of these shadows and reconfiguration of arrays. The methods proposed in the literature generally aim at reconfiguration of arrays and detecting shadow regions by using current (I), voltage (V) and power (P) information. In the process of reconfiguration it is quite difficult to measure to use P, V, I information. In this paper, in order to use in the reconfiguration processes for the detection of the shadow region on PV arrays, a new fuzzy logic based computer vision method is presented. The proposed method, firstly, performs object detection with background subtraction. Then, detects the edge of the object regions. Finally, it detects shadow regions with the help of fuzzy logic decision making system. Experimental results are provides effective performance for detecting of shaded areas on PV arrays.

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“…The authors saw that monitoring these factors was time consuming and tiresome. Therefore, they presented a The authors of [105] noted that numerous literatures have proposed methods of shadow detection and the reconfiguration of an array. In addition, most of these methods use the voltage, current, and power information to achieve this.…”

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