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TRAKING CONTROLLER FOR PHOTOVOLTAIC SYSTEMS BASED OF NEURAL NETWORKS


CULEA GEORGE, POPESCU CORNEL, ABABEI ĆžTEFAN
UNIVERSITY OF BACĂU, UNIVERSITY POLITEHNICA OF BUCHAREST

Issue:

MOCM, Number 12, Volume IV

Section:

MOCM - Volume IV (2006)

Abstract:

The power delivered by photovoltaic systems it can be increased through its automated tracking after the sun. Utilizing a cheap solution for control required the implementation of an algorithm for orientation, simple and efficient. The best solution was the classic algorithm that generates sun relative movement from Terra. Because the calculus volume of sun position is relative big, it must be necessary to find another solution that described the sun trajectory. The proposed solution it based on a neuronal structure, capable to approximate with a good precision the sun trajectory and to deliver permanently its coordinates.

Keywords:

solar module, tracking stand, photovoltaic system, inclinometer, compass.

Code [ID]:

MOCM200612V04S01A0011 [0000813]

DOI:


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