Maximum power point traking controller for PV systems using neural networks

A.B.G. Bahgat, N.H. Helwa, G.E. Ahmad and E.T. El Shenawy

Renewable Energy, 2005, vol. 30, issue 8, 1257-1268

Abstract: This paper presents a development and implementation of a PC-based maximum power point tracker (MPPT) for PV system using neural networks (NN). The system consists of a PV module via a MPPT supplying a dc motor that drives an air fan. The control algorithm is developed to use the artificial NN for detecting the optimal operating point under different operating conditions, then the control action gives the driving signals to the MPPT. A PC is used for data acquisition, running the control algorithm, data storage, as well as data display and analysis. The system has been implemented and tested under various operating conditions.

Keywords: PV module; Maximum power point tracker; Neural networks; Matching factor (search for similar items in EconPapers)
Date: 2005
References: View complete reference list from CitEc
Citations: View citations in EconPapers (22)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:30:y:2005:i:8:p:1257-1268

DOI: 10.1016/j.renene.2004.09.011

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