Fuzzy logic – genetic algorithm based maximum power point tracking in photovoltaic system
This project is about to carried out the optimization and implementation a fuzzy logic controller (FLC) used as a maximum-power-point tracker for a PV system, are presented. Maximum power point tracking (MPPT) are used to integrate with photovoltaic (PV) power systems so that the photovoltaic...
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| Main Author: | |
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| Format: | Thesis |
| Language: | English English English |
| Published: |
2012
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| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/2473/2/24p%20ZALIFAH%20TUKEMAN.pdf http://eprints.uthm.edu.my/2473/1/ZALIFAH%20TUKEMAN%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/2473/3/ZALIFAH%20TUKEMAN%20WATERMARK.pdf |
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| Summary: | This project is about to carried out the optimization and implementation a fuzzy
logic controller (FLC) used as a maximum-power-point tracker for a PV system, are
presented. Maximum power point tracking (MPPT) are used to integrate with
photovoltaic (PV) power systems so that the photovoltaic arrays are able to deliver
the maximum power available. The near optimum design membership functions and
control rules were found simultaneously by genetic algorithms (GAs) which are
search algorithms based the mechanism of natural selection and genetics. These are
easy to implement and efficient for multivariable optimization problems such as in
fuzzy controller design that consist large number. The FLC designed and the
implementation of photovoltaic model using Matlab/Simulink software package
which can representative of PV cell module. Taking effect of sunlight irradiance and
cell temperature into consideration, the output power and current characteristics of
PV model are simulated and optimized. |
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