Title

Adaptive Sun Tracking Algorithm For Incident Energy Maximization And Efficiency Improvement Of Pv Panels

Keywords

Adaptive control; Signal processing; Sun tracking

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. © 2010 Elsevier Ltd.

Publication Date

10-1-2011

Publication Title

Renewable Energy

Volume

36

Issue

10

Number of Pages

2623-2626

Document Type

Article

Personal Identifier

scopus

DOI Link

https://doi.org/10.1016/j.renene.2010.06.011

Socpus ID

79957513347 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/79957513347

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