The 5th International Fuzzy Systems Symposium (FUZZYSS’17)
Editors: C.H. Aladag, D. Alptekin, B. Alptekin
59
Fuzzy Based Threshold Time Estimation for Shadow
Transition in Reconfiguration Process of PV Arrays
Mehmet Karakose
a, Nursena Baygin
b, Mehmet Baygin
c a Firat University, Department of Computer Engineering, Turkeyb Kafkas University, Computer Engineering, Turkey cArdahan University, Computer Engineering, Turkey mkarakose@firat.edu.tra, nursenabaygin@kafkas.edu.trb,
mehmetbaygin@ardahan.edu.trc Abstract
Nowadays, solar panel systems from renewable energy sources are widely used for electricity generation. These systems provide users with significant advantages in electricity generation and offer cost effective solutions. However, there are some situations that negatively affect these systems. At the beginning of these cases are full or partial shadowing situations. There are various methods proposed in the literature in order to prevent this situation. One of these methods is the reconfiguration process. With the reconfiguration method, it is not necessary to change any physical location on the photovoltaic panel, only the electrical connections of the panels can be reconfigured and the replacement can be carried out. This process may overcome the negative effects generated by full or partial shadow occurring on photovoltaic panels. This process is performed through a switching matrix. The electrical connections of the panels connected to the switching matrix can be changed via the relays in this matrix. However, when this process is carried out, it is necessary to decide whether the shadows are temporary shadows or permanent shadows. Otherwise, the switching matrix will operate unnecessarily and cause energy loss in vain. In this paper, the full or partial shadows are determined by image processing on PV panels and it is decided by a fuzzy system that these shadows are temporary or permanent. Studies carried out in the literature generally operate without looking at the nature of the shadows and even in the slightest case of shadowing, the switching matrix is activated. With the proposed approach, a fuzzy approach has been realized that can come up from this situation and make a fast, accurate and reliable decision. In addition, the proposed approach verified the experimental test work, and the results obtained revealed the performance and accuracy of the system. This study has been supported by The Scientific and Technological Research Council of Turkey (TUBITAK 1001 Programme) under Research Project No: 112E214.
Keywords: Image Processing, Fuzzy system, Partial Shading, Photovoltaic Systems,
Reconfiguration. References
[1] Patel, H., Agarwal, V., 2008. Maximum power point tracking scheme for pv systems operating under partially shaded conditions, IEEE Transactions on Industrial Electronics, 1689-1698, April 2008.
[2] Baygin, M., Karakose, M., 2014. Image processing based analysis of moving shadow effects for reconfiguration in PV arrays, IEEE International Energy Conference (ENERGYCON), 683-987, 13-16 May 2014.
[3] Nyugen, D., Lehman, B., 2008. An adaptive solar photovoltaic array using model-based reconfiguration algorithm, IEEE Transactions on Industrial Electronics, 2644-2655, July 2008.
