Simulation of Converter Based Solar PV Module, for Prediction of Output Solar Power Generation using Narx Neural Network |
Author(s): |
| Anil Patel , RCET bhilai; Albert John Varghese, RCET bhilai |
Keywords: |
| Forecasting; Neural Network; Predict; NARX; MATLAB |
Abstract |
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Converter based solar PV module is a conversion technology in which solar power is converted to direct current (DC) electricity. Solar energy is particularly dependent on weather conditions, especially the weather data (irradiance and temperature) and day/night cycle. Solar power prediction is an essential composite for the operating power system. In this paper, Mathematical modeling was preferred for the simulation of Converter based PV module, in which their fundamental mathematical equations were used in simulation work, which implement in MATLAB/Simulink environment. Further, the collected data of solar power from workspace are used in forecasting model that is known as NARX (nonlinear autoregressive with external input) model. The entire coding for NARX model is developed in MATLAB script. |
Other Details |
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Paper ID: IJSRDV5I41163 Published in: Volume : 5, Issue : 4 Publication Date: 01/07/2017 Page(s): 883-887 |
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