Marine Predator Algorithm (MPA)-Based MPPT Technique for Solar PV Systems under Partial Shading Conditions

Vankadara, Sampath Kumar; Chatterjee, Shamik; Balachandran, Praveen Kumar; Mihet‐Popa, Lucian

doi:10.3390/en15176172

Cited by 41 publications

(21 citation statements)

References 33 publications

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“…The power versus voltage curve, under partial shading conditions, shows three different peaks (global peak and two local peaks). In contrast, under uniform irradiation, the same curve shows just one peak [18].…”

Section: Fig4 the Current-voltage And Power-voltage Curves Of The Pv ...mentioning

confidence: 92%

Performance Analysis of Three MPPT Controls Under Partial Shading: P&O, PSO and ANN

Atillah,

Stitou,

Boudaoud

et al. 2023

E3S Web of Conf.

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Photovoltaic energy has gained an important place among renewable energies. Given its weather-dependent efficiency, Maximum Power Point Tracking (MPPT) techniques are essential to maximize the energy extracted from the panels. Partial shading is a phenomenon that degrades the efficiency of photovoltaic panels, by distorting the power vs. voltage curve, which consequently has several peaks, one of which is a global maximum. The aim of this work is to evaluate the ability of MPPT methods to find the global maximum power point in partial shading conditions. To achieve this, the work focuses on simulating and discussing the performance of three MPPT methods, the Perturb and Observe (P&O) command, a command based on particle swarm optimization (PSO), and a command based on artificial neural networks (ANN). By comparing the results of simulations of the three controllers under different partial conditions, we can see that the P&O controller loses accuracy in partially shaded conditions, while the PSO controller is more accurate but with a very slow response time, and lastly, the ANN-based controller offers the best precision and speed performance.

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Section: Fig4 the Current-voltage And Power-voltage Curves Of The Pv ...mentioning

confidence: 92%

Performance Analysis of Three MPPT Controls Under Partial Shading: P&O, PSO and ANN

Atillah,

Stitou,

Boudaoud

et al. 2023

E3S Web of Conf.

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“…The PV system sometimes fails to deliver power efficiently, thus degrading the system's accuracy due to several exceptional conditions such as variable temperature, inhomogeneous irradiance, and improper selection of converters. The problem gets even more complex when the array receives non-uniform irradiance [5]. The various factors for unequal irradiance on PV modules can be the variation of incline angles of modules in an array, partial shading by the close entity, scramble of birds, single or multiple leaves that oppose the cell/module, snow or dust particle on the same modules within the array [6,7].…”

Section: Motivation and Incitementmentioning

confidence: 99%

Robust Modified Flower Pollination Algorithm for Power Quality Enhancement in an Autonomous 31-Level Cascaded H-Bridge Photovoltaic Inverter with Partial Shading Conditions

Sahu¹,

Nayak

Choudhury

2022

IJRITCC

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The effect of global warming and the scarcity of fossil fuels has created an enormous problem in today’s era. To overcome such a problem, renewable energy sources, particularly solar energy, play a crucial role in meeting the developing need for power. However, the design of the Solar Photovoltaic (PV) system is interrupted by various factors such as the effect of temperature, isolation, aging, partial shading conditions, etc. Among all the factors mentioned, partial shading results in the significant diminution of power. To address this shading effect and enhance the flexibility of the PV system in terms of better utilization and energy extraction, a 31-Level Cascaded H-Bridge Multilevel Inverter (CHB-MLI) has been implemented to the autonomous PV system comprising of Maximum Power Point Tracking (MPPT) controller, boost converter and variable loads in MATLAB/Simulink architecture. To track maximum power from PV during varying irradiance and temperature and to further improve the system performance in terms of better convergence speed, an MPPT system with a Modified Flower Pollination Algorithm (MFPA) based PID controller has been proposed in this paper. To justify the suggested approach, the is-landed PV system is led to variation in irradiance and load. A detailed comparison of the proposed MFPA technique with classical control techniques has been meticulously discussed. The results obtained indicate that the suggested MFPA tuned PID with MLI outperforms the conventional methods in better system stability, reduced harmonics, and enhanced capacity to track maximum power from the PV system. In addition to this, the Total Harmonic Distortion (THD) using Fast Fourier Transform (FFT) has been found to verify IEEE-1547 power quality constraints. The values are found to be well within limits, thus justifying its real-time applications.

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“…If any of these solar cells are shaded, they will work in reversed biased mode and instead of generating power, the cells under shading will dissipate the power produced by other cells. This condition, which is referred as partial shading, increases the power loss dramatically and can result in other serious problems including hotspots [ 5 , 6 ]. In order to avoid the problems caused by partial shading, by-pass diodes are used in parallel with solar cells that create a current path to by-pass the shaded cells [ 7 – 9 ].…”

Section: Introductionmentioning

confidence: 99%

A novel algorithm for maximum power point tracking using computer vision (CVMPPT)

Ahmadi,

Abrari,

Ghanaatshoar

et al. 2024

PLoS ONE

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The behavior of an illuminated solar module can be characterized by its power-voltage curve. Tracking the peak of this curve is essential to harvest the maximum power by the module. The position of the peak varies with temperature and irradiance and needs to be traced. Under partial shading conditions, the number of peaks increases and makes it more difficult to find the global maximum power point (MPP). Various methods are used for maximum power point tracking (MPPT) that are based on iterations. These methods are time-consuming and fail to work satisfactorily under rapidly changing environmental conditions. In this paper, a novel algorithm is proposed that for the first time, utilizes computer vision to find the global maximum power point. This algorithm, which is implemented in Matlab/Simulink, is free of voltage iterations and gives the real-time data for the maximum power point. The proposed algorithm increases the speed and the reliability of the MPP tracking via replacing analogue electronics calculations by digital means. The validity of the algorithm is experimentally verified.

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Marine Predator Algorithm (MPA)-Based MPPT Technique for Solar PV Systems under Partial Shading Conditions

Cited by 41 publications

References 33 publications

Performance Analysis of Three MPPT Controls Under Partial Shading: P&O, PSO and ANN

Performance Analysis of Three MPPT Controls Under Partial Shading: P&O, PSO and ANN

Robust Modified Flower Pollination Algorithm for Power Quality Enhancement in an Autonomous 31-Level Cascaded H-Bridge Photovoltaic Inverter with Partial Shading Conditions

A novel algorithm for maximum power point tracking using computer vision (CVMPPT)

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