Solar power optimiser for smart hybrid DC-AC grid

Renewable energy has been increasingly popular since it is pollution free and the source of energy is unlimited. Photovoltaic is one of the most common technology but the conversion rate of solar into electrical energy is heavily dependent on environmental factors. This project explores a design met...

Full description

Saved in:
Bibliographic Details
Main Author: Lin, Binghong.
Other Authors: School of Electrical and Electronic Engineering
Format: Final Year Project
Language:English
Published: 2013
Subjects:
Online Access:http://hdl.handle.net/10356/53419
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-53419
record_format dspace
spelling sg-ntu-dr.10356-534192023-07-07T17:10:41Z Solar power optimiser for smart hybrid DC-AC grid Lin, Binghong. School of Electrical and Electronic Engineering Gilbert Foo Hock Beng DRNTU::Engineering::Electrical and electronic engineering Renewable energy has been increasingly popular since it is pollution free and the source of energy is unlimited. Photovoltaic is one of the most common technology but the conversion rate of solar into electrical energy is heavily dependent on environmental factors. This project explores a design method of photovoltaic system which incorporates 3 photovoltaic panels and 3 DC-DC boost converters. The converters step up DC voltage provided by the solar panels individually, producing a total output voltage of 230V. Whenever one of the panels is covered by clouds, it would prompt the other 2 converters to boost additional voltage in order to maintain the desired output signal. Furthermore, the boost converter will return to their default operation when the sky is cleared. A C programming language is created to monitor the output voltage, produce PWM signal for the duty ratio of the boost converter and PI controller to maintain a desired output voltage. Bachelor of Engineering 2013-06-03T04:56:31Z 2013-06-03T04:56:31Z 2013 2013 Final Year Project (FYP) http://hdl.handle.net/10356/53419 en Nanyang Technological University 58 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Electrical and electronic engineering
spellingShingle DRNTU::Engineering::Electrical and electronic engineering
Lin, Binghong.
Solar power optimiser for smart hybrid DC-AC grid
description Renewable energy has been increasingly popular since it is pollution free and the source of energy is unlimited. Photovoltaic is one of the most common technology but the conversion rate of solar into electrical energy is heavily dependent on environmental factors. This project explores a design method of photovoltaic system which incorporates 3 photovoltaic panels and 3 DC-DC boost converters. The converters step up DC voltage provided by the solar panels individually, producing a total output voltage of 230V. Whenever one of the panels is covered by clouds, it would prompt the other 2 converters to boost additional voltage in order to maintain the desired output signal. Furthermore, the boost converter will return to their default operation when the sky is cleared. A C programming language is created to monitor the output voltage, produce PWM signal for the duty ratio of the boost converter and PI controller to maintain a desired output voltage.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Lin, Binghong.
format Final Year Project
author Lin, Binghong.
author_sort Lin, Binghong.
title Solar power optimiser for smart hybrid DC-AC grid
title_short Solar power optimiser for smart hybrid DC-AC grid
title_full Solar power optimiser for smart hybrid DC-AC grid
title_fullStr Solar power optimiser for smart hybrid DC-AC grid
title_full_unstemmed Solar power optimiser for smart hybrid DC-AC grid
title_sort solar power optimiser for smart hybrid dc-ac grid
publishDate 2013
url http://hdl.handle.net/10356/53419
_version_ 1772826867412238336