Fuzzy logic-based hill climbing technique for photovoltaic maximum power point tracking converter

Photovoltaic (PV) is a fast growing segment among renewable energy systems,whose development is owed to depleting fossil fuel and climate-changing environmental pollution. Its weaknesses, however, are its variable generation and non-linear characteristic due to its intermittent nature. These disad...

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Main Author:	Taghvaee, Mohammad Hossein
Format:	Thesis
Language:	English
Published:	2013
Subjects:	Photovoltaic power systems
Online Access:	http://psasir.upm.edu.my/id/eprint/47578/1/FK%202013%2052R.pdf
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spelling	my-upm-ir.475782016-07-22T02:17:24Z Fuzzy logic-based hill climbing technique for photovoltaic maximum power point tracking converter 2013-05 Taghvaee, Mohammad Hossein Photovoltaic (PV) is a fast growing segment among renewable energy systems,whose development is owed to depleting fossil fuel and climate-changing environmental pollution. Its weaknesses, however, are its variable generation and non-linear characteristic due to its intermittent nature. These disadvantages contribute to issues of high per-kW installation cost and further low efficiency in PV generators. An important consideration for achieving high efficiency in PV operation is to match the PV source and load impedance properly for any weather condition. The maximum extractable power from PV panels depends not only to the strength of the solar irradiation but also to the operating point of the energy conversion system. Maximum power point tracking (MPPT) is of paramount importance to the system as it not only maximizes system efficiency but also minimizes the return of investment in the PV installation. The hill climbing algorithm is the most common method of MPPT due to its simplicity, ease of implementation, and good performance. However, it has issue of perturbation step size and trade off between faster response and steady-state oscillations. Therefore, in this research work, the hill climbing search method has been modified based on fuzzy logic control for improvement of MPPT operation. This proposed MPPT algorithm is named as fuzzy logic based hill climbing.The proposed MPPT was implemented by fuzzifying the rules of hill climbing search method to reduce its drawbacks, and with this technique, not only the real maximum power point can be readily tracked, but also fast dynamic response and small steady state error can be achieved. In this study, the characteristics of a PV module (Kyocera KD210GH) were mathematically modeled and simulated using MATLAB simulation tool. Then, the proposed MPPT algorithm and dc-dc boost converter were designed and developed in the same tool. Simulation results are presented to validate performance of the algorithm under different irradiation schemes, and to compare with the results obtained from conventional algorithm. Further experimental setup was carried out for comparative evaluation and the MPPT algorithm was implemented to performance verification of the algorithm by using digital signal processor (TMS320F28335). The results obtained clearly confirm the proposed MPPT exhibits at least two times faster converging speed than the conventional MPPT in optimum configuration, and the oscillations around maximum power point under steady state condition show improvement up to 75%. Photovoltaic power systems 2013-05 Thesis http://psasir.upm.edu.my/id/eprint/47578/ http://psasir.upm.edu.my/id/eprint/47578/1/FK%202013%2052R.pdf application/pdf en public masters Universiti Putra Malaysia Photovoltaic power systems
institution	Universiti Putra Malaysia
collection	PSAS Institutional Repository
language	English
topic	Photovoltaic power systems
spellingShingle	Photovoltaic power systems Taghvaee, Mohammad Hossein Fuzzy logic-based hill climbing technique for photovoltaic maximum power point tracking converter
description	Photovoltaic (PV) is a fast growing segment among renewable energy systems,whose development is owed to depleting fossil fuel and climate-changing environmental pollution. Its weaknesses, however, are its variable generation and non-linear characteristic due to its intermittent nature. These disadvantages contribute to issues of high per-kW installation cost and further low efficiency in PV generators. An important consideration for achieving high efficiency in PV operation is to match the PV source and load impedance properly for any weather condition. The maximum extractable power from PV panels depends not only to the strength of the solar irradiation but also to the operating point of the energy conversion system. Maximum power point tracking (MPPT) is of paramount importance to the system as it not only maximizes system efficiency but also minimizes the return of investment in the PV installation. The hill climbing algorithm is the most common method of MPPT due to its simplicity, ease of implementation, and good performance. However, it has issue of perturbation step size and trade off between faster response and steady-state oscillations. Therefore, in this research work, the hill climbing search method has been modified based on fuzzy logic control for improvement of MPPT operation. This proposed MPPT algorithm is named as fuzzy logic based hill climbing.The proposed MPPT was implemented by fuzzifying the rules of hill climbing search method to reduce its drawbacks, and with this technique, not only the real maximum power point can be readily tracked, but also fast dynamic response and small steady state error can be achieved. In this study, the characteristics of a PV module (Kyocera KD210GH) were mathematically modeled and simulated using MATLAB simulation tool. Then, the proposed MPPT algorithm and dc-dc boost converter were designed and developed in the same tool. Simulation results are presented to validate performance of the algorithm under different irradiation schemes, and to compare with the results obtained from conventional algorithm. Further experimental setup was carried out for comparative evaluation and the MPPT algorithm was implemented to performance verification of the algorithm by using digital signal processor (TMS320F28335). The results obtained clearly confirm the proposed MPPT exhibits at least two times faster converging speed than the conventional MPPT in optimum configuration, and the oscillations around maximum power point under steady state condition show improvement up to 75%.
format	Thesis
qualification_level	Master's degree
author	Taghvaee, Mohammad Hossein
author_facet	Taghvaee, Mohammad Hossein
author_sort	Taghvaee, Mohammad Hossein
title	Fuzzy logic-based hill climbing technique for photovoltaic maximum power point tracking converter
title_short	Fuzzy logic-based hill climbing technique for photovoltaic maximum power point tracking converter
title_full	Fuzzy logic-based hill climbing technique for photovoltaic maximum power point tracking converter
title_fullStr	Fuzzy logic-based hill climbing technique for photovoltaic maximum power point tracking converter
title_full_unstemmed	Fuzzy logic-based hill climbing technique for photovoltaic maximum power point tracking converter
title_sort	fuzzy logic-based hill climbing technique for photovoltaic maximum power point tracking converter
granting_institution	Universiti Putra Malaysia
publishDate	2013
url	http://psasir.upm.edu.my/id/eprint/47578/1/FK%202013%2052R.pdf
_version_	1747811943314358272

Fuzzy logic-based hill climbing technique for photovoltaic maximum power point tracking converter

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