DocumentCode :
3072494
Title :
A shadow detection approach based on fuzzy logic using images obtained from PV array
Author :
Karakose, Mehmet ; Firildak, Kazim
Author_Institution :
Comput. Eng. Dept., Firat Univ., Elazg, Turkey
fYear :
2015
fDate :
27-29 May 2015
Firstpage :
1
Lastpage :
5
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.
Keywords :
computer vision; decision making; fuzzy logic; object detection; power engineering computing; solar cell arrays; PV array; computer vision method; fuzzy logic decision making system; reconfiguration process; shadow detection approach; shadow region detection; Algorithm design and analysis; Arrays; Detection algorithms; Fuzzy logic; Image color analysis; Mathematical model; Production; Fuzzy Logic; Image Processing; Photovoltaic Arrays; Reconfiguration; Shadow Detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Modeling, Simulation, and Applied Optimization (ICMSAO), 2015 6th International Conference on
Conference_Location :
Istanbul
Type :
conf
DOI :
10.1109/ICMSAO.2015.7152216
Filename :
7152216
Link To Document :
بازگشت