Prediction output current and output power of photovoltaic system using artificial neural network / Muhamad Azim Mohd Wadzir

Global climate change has already had observable effects on the environment. Glaciers have shrunk, ice on rivers and lakes is breaking up earlier, plant and animal ranges have shifted and trees are flowering sooner. Human activities such as burning fossil fuel and changes in land use, release large...

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Main Author:	Mohd Wadzir, Muhamad Azim
Format:	Thesis
Language:	English
Published:	2013
Online Access:	https://ir.uitm.edu.my/id/eprint/84886/1/84886.pdf
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id	my-uitm-ir.84886
record_format	uketd_dc
spelling	my-uitm-ir.848862024-02-16T09:23:47Z Prediction output current and output power of photovoltaic system using artificial neural network / Muhamad Azim Mohd Wadzir 2013 Mohd Wadzir, Muhamad Azim Global climate change has already had observable effects on the environment. Glaciers have shrunk, ice on rivers and lakes is breaking up earlier, plant and animal ranges have shifted and trees are flowering sooner. Human activities such as burning fossil fuel and changes in land use, release large amounts of carbon to the atmosphere, causing C02 concentrations in the atmosphere to rise. The burning of fossil fuels has contributed to a 40% increase in the concentration of carbon dioxide in the atmosphere. In our country, the government already do an action to reduce the amounts of carbon to the atmosphere by using the renewable energy as a electric source to reduce the dependency on fossil fuel. Under the 8th Malaysia Plan (2001 - 2005) the government of Malaysia had changed the Four Fuel Policy to the Five Fuel Policy energy mix with the addition of renewable energy as the fifth sources of fuel in the year 2000. Solar is one of type of renewable energy, by using Photovoltaic (PV) it can convert solar irradiation into electricity. This paper presents an application of Artificial Neural Network (ANN) for prediction of output current and output power from Photovoltaic (PV). The output current and output power is predicted from PV system from Green Energy Research Centre (GERC) in Uitm Shah Alam. DC input current and voltage from two strings A and B is sets as input data in ANN program in order to predict the output current and output power from PV system. The performance of the system is measured by its regression value. The best performance of the system is when regression value is equal to 1. Usually, ANN will run heuristically for its parameter and in this paper ANN program is set to generate automatically random parameter. The purpose of prediction output current and output power from PV system using ANN is to evaluate the performance of PV system by using historical data from GERC. The results show that ANN program gives an accurate prediction. 2013 Thesis https://ir.uitm.edu.my/id/eprint/84886/ https://ir.uitm.edu.my/id/eprint/84886/1/84886.pdf text en public degree Universiti Teknologi MARA (UiTM) Faculty of Electrical Engineering Wan Abdullah, Wan Nor Ainin
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Wan Abdullah, Wan Nor Ainin
description	Global climate change has already had observable effects on the environment. Glaciers have shrunk, ice on rivers and lakes is breaking up earlier, plant and animal ranges have shifted and trees are flowering sooner. Human activities such as burning fossil fuel and changes in land use, release large amounts of carbon to the atmosphere, causing C02 concentrations in the atmosphere to rise. The burning of fossil fuels has contributed to a 40% increase in the concentration of carbon dioxide in the atmosphere. In our country, the government already do an action to reduce the amounts of carbon to the atmosphere by using the renewable energy as a electric source to reduce the dependency on fossil fuel. Under the 8th Malaysia Plan (2001 - 2005) the government of Malaysia had changed the Four Fuel Policy to the Five Fuel Policy energy mix with the addition of renewable energy as the fifth sources of fuel in the year 2000. Solar is one of type of renewable energy, by using Photovoltaic (PV) it can convert solar irradiation into electricity. This paper presents an application of Artificial Neural Network (ANN) for prediction of output current and output power from Photovoltaic (PV). The output current and output power is predicted from PV system from Green Energy Research Centre (GERC) in Uitm Shah Alam. DC input current and voltage from two strings A and B is sets as input data in ANN program in order to predict the output current and output power from PV system. The performance of the system is measured by its regression value. The best performance of the system is when regression value is equal to 1. Usually, ANN will run heuristically for its parameter and in this paper ANN program is set to generate automatically random parameter. The purpose of prediction output current and output power from PV system using ANN is to evaluate the performance of PV system by using historical data from GERC. The results show that ANN program gives an accurate prediction.
format	Thesis
qualification_level	Bachelor degree
author	Mohd Wadzir, Muhamad Azim
spellingShingle	Mohd Wadzir, Muhamad Azim Prediction output current and output power of photovoltaic system using artificial neural network / Muhamad Azim Mohd Wadzir
author_facet	Mohd Wadzir, Muhamad Azim
author_sort	Mohd Wadzir, Muhamad Azim
title	Prediction output current and output power of photovoltaic system using artificial neural network / Muhamad Azim Mohd Wadzir
title_short	Prediction output current and output power of photovoltaic system using artificial neural network / Muhamad Azim Mohd Wadzir
title_full	Prediction output current and output power of photovoltaic system using artificial neural network / Muhamad Azim Mohd Wadzir
title_fullStr	Prediction output current and output power of photovoltaic system using artificial neural network / Muhamad Azim Mohd Wadzir
title_full_unstemmed	Prediction output current and output power of photovoltaic system using artificial neural network / Muhamad Azim Mohd Wadzir
title_sort	prediction output current and output power of photovoltaic system using artificial neural network / muhamad azim mohd wadzir
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Electrical Engineering
publishDate	2013
url	https://ir.uitm.edu.my/id/eprint/84886/1/84886.pdf
_version_	1794192067316940800

Prediction output current and output power of photovoltaic system using artificial neural network / Muhamad Azim Mohd Wadzir

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