The new maximum power point tracking algorithm using ANN-based solar PV systems

Lee, Hong Hee; Phương, Lê Minh; Dzung, Phan Quoc; Vu, Nguyen Truong Dan; Khoa, Le Dinh

doi:10.1109/tencon.2010.5686721

Cited by 22 publications

(2 citation statements)

References 9 publications

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“…In the presented mathematical model of SPP maximum power point tracking is performed according to IncCond algorithm [14]. This algorithm is selected because of its simplicity and the ability to detect and track maximum power point keeping the operation point of SPP at it.…”

Section: Inccond Algorithmmentioning

confidence: 99%

Maximum Power Point Tracking in Solar Power Plants under Partially Shaded Condition

Pikutis

Vasarevičius

Martavičius

2014

ElAEE

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efficiency of solar cells is the biggest when the controller adjusts the load according to the temperature of the solar cell and solar energy flux. This task is accomplished by various maximum power point tracking (MPPT) algorithms. This paper presents the analysis of maximum power point tracking efficiency, when some modules of the solar power plant are partially shaded. Mathematical models of photovoltaic module and Incremental Conduction (IncCond) algorithm are implemented in Matlab/Simulink environment. The simulation is performed using saved solar power flux signal, imitating real-world environmental conditions. This signal allows to compare different working modes of MPPT tracker and to calculate the efficiency of the algorithm. It is proposed to use artificial neural network (ANN) to increase the efficiency of (IncCond) algorithm. Using ANN allows faster maximum power point tracking.

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Section: Inccond Algorithmmentioning

confidence: 99%

Maximum Power Point Tracking in Solar Power Plants under Partially Shaded Condition

Pikutis

Vasarevičius

Martavičius

2014

ElAEE

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“…Topologies like cascaded H-Bridge inverter, Diode clamped and flying capacitor are used for DC to AC conversion. [8,10]. Various types of PV inverters have been developed and designed in the recent years.…”

Section: Introductionmentioning

confidence: 99%

ANN Fed High Gain Luo Converter based Reduced Switch Multilevel Inverter for Single Phase Network Bridged PV Arrangement

2019

IJITEE

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In the present scenario photovoltaic (PV) systems feature resonant interest in the recent researches. The amount from the PV frame is highly oscillated due to temperature variation. In this proposed work, the ANN based MPPT algorithm extracts maximum energy from the PV system by benefit of high gain DC-DC Luo converter, the Luo converter produced voltage is given to the single phase grid through reduced switch seven level inverter. The proposed seven level inverter is controlled by high frequency technique multicarrier modulation technique. The PI controller based closed loop grid synchronization is implemented for solving the power quality issues. The multilevel inverter reduce the total harmonics distortion in the output AC voltage waveform. The developed work is carried out using Matlab software-based simulation with various solar irradiation and degree. Keywords: Artificial Neural Network

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Perturbative methods for maximum power point tracking (MPPT) of photovoltaic (PV) systems: a review

Tajuddin

Arif

Ayob

et al. 2015

Int. J. Energy Res.

103

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Summary Over the past few decades, the world demand for energy has risen steadily, forcing the world communities to look for alternative sources. Photovoltaic (PV) is seen as the most promising solution for this demand. However, the PV system is popularly known to suffer from low‐energy harvesting due to the change of environment conditions. An inexpensive and practical solution to extract the energy from the PV is by improving the maximum power point tracking (MPPT) controller technique. An ideal MPPT should be able to track the true maximum power operating point accurately under all circumstances and overcome all nonlinearities in the characteristic I‐V curves. This paper presents an updated review of the techniques based on the perturbative MPPT methods, both using the conventional and soft computing methods. The working principles of the techniques, parameter effects, and their limitations are discussed. The focus of this review is to direct the readers to the new direction of MPPT using the artificial intelligence and evolutionary computation techniques. Besides serving as a comprehensive source of information, the paper also provides a critical review on the relative performance of the selected MPPT methods. This includes the module dependency, tracking performance, and the ability to handle the partial shading conditions. Copyright © 2015 John Wiley & Sons, Ltd.

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The new maximum power point tracking algorithm using ANN-based solar PV systems

Cited by 22 publications

References 9 publications

Maximum Power Point Tracking in Solar Power Plants under Partially Shaded Condition

Maximum Power Point Tracking in Solar Power Plants under Partially Shaded Condition

ANN Fed High Gain Luo Converter based Reduced Switch Multilevel Inverter for Single Phase Network Bridged PV Arrangement

Perturbative methods for maximum power point tracking (MPPT) of photovoltaic (PV) systems: a review

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