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Hybrid MPPT algorithm for mismatch photovoltaic panel application / Muhammad Iqbal Mohd Zakki

Photovoltaic (PV) systems require an active optimization system known as maximum power point tracking (MPPT) system. However, due to non-linearity of the I-V characteristic of solar cell, the tracking of the true maximum power point (MPP) can be very challenging. On the other hand, the presence of a...

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Main Author: Mohd Zakki, Muhammad Iqbal
Format: Thesis
Language:English
Published: 2019
Online Access:https://ir.uitm.edu.my/id/eprint/91352/1/91352.pdf
https://ir.uitm.edu.my/id/eprint/91352/
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spelling my.uitm.ir.913522024-03-20T16:28:56Z https://ir.uitm.edu.my/id/eprint/91352/ Hybrid MPPT algorithm for mismatch photovoltaic panel application / Muhammad Iqbal Mohd Zakki Mohd Zakki, Muhammad Iqbal Photovoltaic (PV) systems require an active optimization system known as maximum power point tracking (MPPT) system. However, due to non-linearity of the I-V characteristic of solar cell, the tracking of the true maximum power point (MPP) can be very challenging. On the other hand, the presence of a non-ideal operating condition such as partial shading causes the P-V characteristic of the PV modules to have multiple peaks. The presence of multi peak tends to increase the chance of the conventional MPPT algorithms to inaccurately optimize the system to the local peak PV power, in despite of the global peak. Moreover, the implementation of different type of PV module on a PV panel causes the PV system to have very severe mismatched I-V and P-V characteristic that can cause imbalance distribution of voltage, current, and power. On the other hand, the implementation of conventional direct MPPT technique causes oscillation in MPP tracking due to the perturbative nature of the algorithms. Otherwise, the soft-computation MPPT methods by evolutionary algorithms such as Particle Swarm Optimization (PSO) algorithm require longer tracking time to prevent the false MPP tracking convergence. A distributed architecture of MPPT (DMPPT) system is proposed to solve the module mismatched, and partial shading issues. As for the MPPT technique, a novel hybrid MPPT algorithm is proposed to reduce the tracking time and oscillation, while increase the MPP tracking efficiency. Closed-loop PID control system is implemented to optimize the control speed, and accuracy of the MPPT system, along with PSO-based auto-tuning algorithm dedicated for the PID controller to provide adaptability with diverse hardware setup. MATLAB/Simulink is used to develop, test, optimize, and verify the proposed hybrid MPPT algorithm, and PSO-PID tuning method, before embedded in the MPPT system for the hardware implementation as a research product. Arduino platform is applied in hardware of the proposed MPPT system with Bluetooth connectivity. Comparative experimental study between the proposed hybrid MPPT algorithm, and PSO-MPPT algorithm shows that the proposed novel hybrid MPPT algorithm provides higher tracking performance in terms of speed of 600ms, and tracking efficiency of 99.4% in respect to the actual P-V curve, against 170s of tracking speed and 96.46% of efficiency of PSO-MPPT algorithm. From the comparative hardware test of MPPT architecture with mismatched PV module arrangement, the DMPPT are able to produce output with efficiency of 81.4%, while for CMPPT is 69.3%. 2019 Thesis NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/91352/1/91352.pdf Hybrid MPPT algorithm for mismatch photovoltaic panel application / Muhammad Iqbal Mohd Zakki. (2019) Masters thesis, thesis, Universiti Teknologi MARA (UiTM).
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
description Photovoltaic (PV) systems require an active optimization system known as maximum power point tracking (MPPT) system. However, due to non-linearity of the I-V characteristic of solar cell, the tracking of the true maximum power point (MPP) can be very challenging. On the other hand, the presence of a non-ideal operating condition such as partial shading causes the P-V characteristic of the PV modules to have multiple peaks. The presence of multi peak tends to increase the chance of the conventional MPPT algorithms to inaccurately optimize the system to the local peak PV power, in despite of the global peak. Moreover, the implementation of different type of PV module on a PV panel causes the PV system to have very severe mismatched I-V and P-V characteristic that can cause imbalance distribution of voltage, current, and power. On the other hand, the implementation of conventional direct MPPT technique causes oscillation in MPP tracking due to the perturbative nature of the algorithms. Otherwise, the soft-computation MPPT methods by evolutionary algorithms such as Particle Swarm Optimization (PSO) algorithm require longer tracking time to prevent the false MPP tracking convergence. A distributed architecture of MPPT (DMPPT) system is proposed to solve the module mismatched, and partial shading issues. As for the MPPT technique, a novel hybrid MPPT algorithm is proposed to reduce the tracking time and oscillation, while increase the MPP tracking efficiency. Closed-loop PID control system is implemented to optimize the control speed, and accuracy of the MPPT system, along with PSO-based auto-tuning algorithm dedicated for the PID controller to provide adaptability with diverse hardware setup. MATLAB/Simulink is used to develop, test, optimize, and verify the proposed hybrid MPPT algorithm, and PSO-PID tuning method, before embedded in the MPPT system for the hardware implementation as a research product. Arduino platform is applied in hardware of the proposed MPPT system with Bluetooth connectivity. Comparative experimental study between the proposed hybrid MPPT algorithm, and PSO-MPPT algorithm shows that the proposed novel hybrid MPPT algorithm provides higher tracking performance in terms of speed of 600ms, and tracking efficiency of 99.4% in respect to the actual P-V curve, against 170s of tracking speed and 96.46% of efficiency of PSO-MPPT algorithm. From the comparative hardware test of MPPT architecture with mismatched PV module arrangement, the DMPPT are able to produce output with efficiency of 81.4%, while for CMPPT is 69.3%.
format Thesis
author Mohd Zakki, Muhammad Iqbal
spellingShingle Mohd Zakki, Muhammad Iqbal
Hybrid MPPT algorithm for mismatch photovoltaic panel application / Muhammad Iqbal Mohd Zakki
author_facet Mohd Zakki, Muhammad Iqbal
author_sort Mohd Zakki, Muhammad Iqbal
title Hybrid MPPT algorithm for mismatch photovoltaic panel application / Muhammad Iqbal Mohd Zakki
title_short Hybrid MPPT algorithm for mismatch photovoltaic panel application / Muhammad Iqbal Mohd Zakki
title_full Hybrid MPPT algorithm for mismatch photovoltaic panel application / Muhammad Iqbal Mohd Zakki
title_fullStr Hybrid MPPT algorithm for mismatch photovoltaic panel application / Muhammad Iqbal Mohd Zakki
title_full_unstemmed Hybrid MPPT algorithm for mismatch photovoltaic panel application / Muhammad Iqbal Mohd Zakki
title_sort hybrid mppt algorithm for mismatch photovoltaic panel application / muhammad iqbal mohd zakki
publishDate 2019
url https://ir.uitm.edu.my/id/eprint/91352/1/91352.pdf
https://ir.uitm.edu.my/id/eprint/91352/
_version_ 1794641387705073664
score 13.211869

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