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Modeling of power response of photovoltaic model using pertubation-observation and incremental conductance methods

Master of Science in Electrical System Engineering

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Bibliographic Details
Main Author: Abdul Majeed Al-Sameraiee, Qutaiba Mazin
Other Authors: Abadal-Salam Taha, Hussain, Dr.
Format: Thesis
Language:English
Published: Universiti Malaysia Perlis (UniMAP) 2016
Subjects:
Photovoltaic power generation
Renewable resource integration
Energy development
Renewable energy
Photovoltaic
Maximum Power Point Tracking (MPPT)
Online Access:http://dspace.unimap.edu.my:80/xmlui/handle/123456789/77964
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spelling my.unimap-779642023-03-03T07:18:52Z Modeling of power response of photovoltaic model using pertubation-observation and incremental conductance methods Abdul Majeed Al-Sameraiee, Qutaiba Mazin Abadal-Salam Taha, Hussain, Dr. Photovoltaic power generation Renewable resource integration Energy development Renewable energy Photovoltaic Maximum Power Point Tracking (MPPT) Master of Science in Electrical System Engineering Since the search of the energy source considered as one of the main problems in this era, then it will be still one of the most important concerns of the countries. The renewable energy became one of the faster-growing trends in industrial societies since it becomes used for solving shortfall problem in the energy source. In the meantime, the sun is responsible for almost all the energy available on the earth. Photovoltaic systems, which gets the energy from the sun and convert it to electrical energy is one of the best solutions to solve the shortage problems. In this system, there is one point called Maximum Power Point (MPP) representing the maximum output power that can be generated from the system, but the system will be disturbed by changing the environment factors like irradiance and temperature. Therefore, the changing of environment factors will effect on the value of MPP, and make the system back to a maximum value by using the tracking methods. It is called Maximum Power Point Tracking Method (MPPT). There are many methods in this field with a different performance because this variation leads to confusion in the selection of the suitable Maximum Power Point Tracking Methods. This research has reviewed many types of tracking methods and classified them according to the accuracy, tracking speed, and complexity, by considering the Perturbation and Observation (PO) and Incremental Conductance (IC) methods being as the most commonly methods in order to choose the most suitable maximum tracking method to be applied in Malaysia. The modeling technique has been made and tested to compare between these two methods. This model uses the irradiation and temperature as inputs parameters to give a performance indication between the variations of output power with respect to time. MATLAB have been used in this research. The result shows better time response and smooths performance while applying Incremental Conductance (IC) method than Perturbation and Observation (PO) for Malaysia. Towards completion of this project, the project aimed to create a comparative model, for the two selected methods. The project other aims included adding the time response and stability factors while testing the two methods using the models based on the inputs from different states in Malaysia. When using the model for Malaysian data and taking the average irradiance and temperature for the two proposed methods, it is recommended to use the INC method, which shows faster response and better stability. 2016 2023-03-03T07:12:19Z 2023-03-03T07:12:19Z Thesis http://dspace.unimap.edu.my:80/xmlui/handle/123456789/77964 en Universiti Malaysia Perlis (UniMAP) Universiti Malaysia Perlis (UniMAP) School of Electrical Systems Engineering
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Photovoltaic power generation
Renewable resource integration
Energy development
Renewable energy
Photovoltaic
Maximum Power Point Tracking (MPPT)
spellingShingle Photovoltaic power generation
Renewable resource integration
Energy development
Renewable energy
Photovoltaic
Maximum Power Point Tracking (MPPT)
Abdul Majeed Al-Sameraiee, Qutaiba Mazin
Modeling of power response of photovoltaic model using pertubation-observation and incremental conductance methods
description Master of Science in Electrical System Engineering
author2 Abadal-Salam Taha, Hussain, Dr.
author_facet Abadal-Salam Taha, Hussain, Dr.
Abdul Majeed Al-Sameraiee, Qutaiba Mazin
format Thesis
author Abdul Majeed Al-Sameraiee, Qutaiba Mazin
author_sort Abdul Majeed Al-Sameraiee, Qutaiba Mazin
title Modeling of power response of photovoltaic model using pertubation-observation and incremental conductance methods
title_short Modeling of power response of photovoltaic model using pertubation-observation and incremental conductance methods
title_full Modeling of power response of photovoltaic model using pertubation-observation and incremental conductance methods
title_fullStr Modeling of power response of photovoltaic model using pertubation-observation and incremental conductance methods
title_full_unstemmed Modeling of power response of photovoltaic model using pertubation-observation and incremental conductance methods
title_sort modeling of power response of photovoltaic model using pertubation-observation and incremental conductance methods
publisher Universiti Malaysia Perlis (UniMAP)
publishDate 2016
url http://dspace.unimap.edu.my:80/xmlui/handle/123456789/77964
_version_ 1772813065567338496
score 13.214268

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