A Strategy Research on MPPT Technique in Photovoltaic Power Generation System

Fu, Qiang; Nan, Tong

doi:10.11591/telkomnika.v11i12.3685

Cited by 13 publications

(11 citation statements)

References 8 publications

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“…The tests can be investigated by utilizing solar simulator at any time, continued for 24 hours a day, controlled for variation of temperature and other features of a common environment. Fu Qiang and Tong Nan [7] have proposed simulation model of PV cells is built to simulate environment situations under different lights and temperatures. The choice of an ideal light source to simulate sunlight and it's a real strength is the principal work with a design of solar simulator.…”

Section: Introductionmentioning

confidence: 99%

Analysis Air Cooling Mechanism for Photovoltaic Panel by Solar Simulator

Yusoff

Leow

Misrun

et al. 2015

IJECE

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Measurement the outdoor efficiency of photovoltaic (PV) panels is essential, but it is not likely an exceptional circumstance at any given moment is always repeating itself. A solar simulator was designed and fabricated for the purpose of analyzing the performance of PV panel with and without an air cooling mechanism in indoor test. Twenty units of 500 W halogen lamps with build-in reflector support by the steel structure holder act as a natural sunlight. The uniformity of the solar radiation was measured in the test area. Two units of PV panel with same characteristics were experimental in three sets of uniformity of solar radiation, which are 620, 821 and 1016 W/m². The operating temperature of PV panel with an air cooling mechanism can be decreased 2-3 ˚C compared to PV panel reference. The PV panel with an air cooling mechanism can be increased in 3-7 % of maximum power output based on solar radiation. An overall method and procedure of the measurement by the solar simulator are discussed and proposed.

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Section: Introductionmentioning

confidence: 99%

Analysis Air Cooling Mechanism for Photovoltaic Panel by Solar Simulator

Yusoff

Leow

Misrun

et al. 2015

IJECE

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“…The equivalent model of a solar panel consists of a current source that depends on the solar irradiation in parallel with a diode and two resistors, the first in the series and the second is a parallel which represent the internal joule losses [5]- [7]. The equivalent-circuit model of PV is illustrated in Figure 2.…”

Section: Pv Modelmentioning

confidence: 99%

Practical Performance Evaluation of Maximum Power Point Tracking Algorithms in a Photovoltaic System

Abouobaida

Beid

2017

IJPEDS

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This paper addresses a performance evaluation of maximum power point tracking techniques (MPPT) in a photovoltaic system. This research work finds its applications in photovoltaic systems producing electric power with a better energy efficiency, which will lead to an improved relationship between the cost and the amount of the produced power. The importance of this work resides on the one hand in the evaluation of the performances of the different MPPTs according to three criteria instead of one or two criteria in other works of the literature and on the other hand in the study of Four algorithms in one paper and their comparisons. This paper discusses the performance evaluation of the MPPT algorithms called P&O, Inc-Cond, Hill-Climbing and Fuzzy algorithms based simulation results and practical validation. The performances of these algorithms are evaluated according to the following criteria: The response time, the amplitude of the oscillations around the optimal point and the accuracy. The objectives in this article are summarized in the following points: (a) modeling the photovoltaic systems, (b) presenting and detailing each MPPT algorithm (c) pressenting and discussing the simulation results in Matlab/Simulink and practical validation (d) evaluating the performance of each algorithm. This paper is completed by a summary on the areas of use for each algorithm and conclusions. Keyword:Fuzzy Hill-climbing Inc-cond MPPT P&O Copyright © 2017 Institute of Advanced Engineering and Science.All rights reserved. Corresponding Author:Hassan Abouobaida, Laboratory of Engineering Sciences for Energy. El Jadida Chouaib-Doukkali University National School of Applied Sciences Route d'azzemour, Nationale N°1. Elhaouzia BP : 1166 El Jadida 24002 Morocco Email: hassanabouobaida@gmail.com INTRODUCTIONActually, the production of electric power from renewable energy is among the most recommended solutions non-polluting energy source. These solutions have many advantages. On the one hand, these sources allow the preservation of the environment, as they are eco-friendly. On the other hand, the use of these sources is related to the production competing with fossil sources. For the production of electric power from renewable resources, recourse to sources for basic photovoltaic energy is essential, however, the power supplied by a solar panel is related to three parameters: irradiation, temperature and the load. hence, PV systems suffer from relatively low conversion efficiency. To maximize the output power of PV array and to continuously track the maximum power point (MPP), several MPPT algorithms are proposed in the literature; Comparing the performance of these techniques seems a very interesting spot to determine which one is most suitable and efficient for a given PV system. Numerous works have addressed the comparison of MPPT algorithms. In some papers, this comparison is generally limited to a theoretical study and lacks of practical implementation [1]-[2]. Other articles have compared different MPPT by choosing a few criter...

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“…A device that forces PV to operate at the MPP is called maximum power point tracking (MPPT) which typically employs a DC to DC converter that connects the PV system to the load [2]. To obtain maximum power from solar panel array, photovoltaic power system usually requires a MPPT controller [3].…”

Section: Introductionmentioning

confidence: 99%

Efficiency improvement of photovolatic by using maximum power point tracking based on a new fuzzy logic controller

Effendy

Mardiyah

Hidayat

2018

J. Mechatron. Electr. Power Veh. Technol.

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Maximum power point tracking (MPPT) is a technique to maximize the power output of photovoltaic (PV). Therefore, to achieve higher PV efficiency, the development of MPPT control algorithm is necessary. Recently, it was revealed that fuzzy logic controller (FLC) is better than other control algorithms and is possible toe developed. This study fabricated and implemented MPPT based on the proposed a new FLC. Input Calculator (IC) via sensors reads current and voltage of PV and generates the comparison of voltage and current of PV, then IC output becomes fuzzy algorithm input. Fuzzy algorithm produces duty cycle that drives synchronous buck converter. The result showed that MPPT system with proposed FLC method has 99.1% efficiency while MPPT system with P&O method has 95.5% efficiency. From the obtained result, it can be concluded that the MPPT based on the proposed FLC can increase the overall efficiency of the system to 99.3%.

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A Strategy Research on MPPT Technique in Photovoltaic Power Generation System

Cited by 13 publications

References 8 publications

Analysis Air Cooling Mechanism for Photovoltaic Panel by Solar Simulator

Analysis Air Cooling Mechanism for Photovoltaic Panel by Solar Simulator

Practical Performance Evaluation of Maximum Power Point Tracking Algorithms in a Photovoltaic System

Efficiency improvement of photovolatic by using maximum power point tracking based on a new fuzzy logic controller

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