0000000000924109

AUTHOR

M. A. N. Sanjeewa

showing 1 related works from this author

Maximum Power Point Tracker for Standalone PV System Using Neural Networks

2019

In this work, designing and implementation of a maximum power point tracker (MPPT) based on an artificial neural network is proposed. The output voltage of the selected photovoltaic array is controlled by a DC to DC boost converter in a way that the PV array generates the available possible maximum power correspond to the available solar irradiance and temperature. The neural network (NN) is capable of forecasting the required terminal voltage of the PV array in order to generate the possible maximum power. The pulse width modulation (PWM) signal, which drives the boost converter, is generated through a raspberry pi according to the forecasted terminal voltage. The terminal voltage of the P…

Maximum power principleDuty cyclebusiness.industryComputer scienceBoost converterPhotovoltaic systemElectrical engineeringResponse timebusinessPulse-width modulationMaximum power point trackingVoltage
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