Title
Adaptive sun tracking algorithm for incident energy maximization and efficiency improvement of PV panels
Abbreviated Journal Title
Renew. Energy
Keywords
Sun tracking; Adaptive control; Signal processing; PHOTOVOLTAIC PANELS; SYSTEM; Energy & Fuels
Abstract
In recent times, sun tracking systems are being increasingly employed to enhance the efficiency of photovoltaic panels by constantly tracking the elevation and azimuth angles of the sun. In this paper, a novel adaptive digital signal processing and control algorithm is presented that optimizes the overall PV system output power by adjusting the position angles of the solar panel on both the elevation and azimuth axes. Since the proposed approach is adaptive in nature, the optimal position angles for the solar panel are iteratively computed using the adaptive gradient ascent method, until the incident solar radiation, and hence the output power is maximized. Furthermore, a Taylor's series approximation is employed for generating a unique optimal position angle increment/decrement at each iteration. Simulation results show that the proposed technique demonstrates fast convergence and excellent tracking accuracy at all times of the day. (C) 2010 Elsevier Ltd. All rights reserved.
Journal Title
Renewable Energy
Volume
36
Issue/Number
10
Publication Date
1-1-2011
Document Type
Article
Language
English
First Page
2623
Last Page
2626
WOS Identifier
ISSN
0960-1481
Recommended Citation
"Adaptive sun tracking algorithm for incident energy maximization and efficiency improvement of PV panels" (2011). Faculty Bibliography 2010s. 1796.
https://stars.library.ucf.edu/facultybib2010/1796
Comments
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