Improved PSO: A Comparative Study in MPPT Algorithm for PV System Control under Partial Shading Conditions

Hayder, Wafa; Ogliari, Emanuele; Dolara, Alberto; Abid, A.; Hamed, Mouna Ben; Sbita, Lassaâd

doi:10.3390/en13082035

Cited by 67 publications

(39 citation statements)

References 32 publications

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“…Hence, the traditional maximum power point tracking (MPPT) techniques are generally not capable of differentiating among local and global power peaks in the P-V curve of PV systems, which also impacts the performance of the whole system. Therefore, the global maximum power point tracking (GMPPT) algorithms are required to identify the global power peak from many local peaks [44][45][46][47][48][49].…”

Section: Bypass Diode Methodologymentioning

confidence: 99%

Performance Assessment of Mismatch Mitigation Methodologies Using Field Data in Solar Photovoltaic Systems

et al. 2022

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Partial shading and other non-ideal conditions cause electrical mismatches that reduce the output power generated by a photovoltaic (PV) system. It affects the overall performance and efficiency of PV systems. Therefore, a model is developed in MATLAB, which analyses the performance of the PV systems under real irradiance profiles and temperatures for various available mismatch mitigation methodologies, i.e., bypass diode, DC power optimizer, and differential power processing (DPP). More specifically, this study will help to understand the best mismatch reduction methodologies for a solar PV system under different scenarios. The results also are validated by comparing them with a similar PV system installed in SolarTechLAB, which also operates under the same irradiance and temperature conditions under which these models are tested. This study also presents novel results, covering discussions on the reverse voltage distribution under mismatch scenarios among bypass diode, DC power optimizer, and DPP techniques.

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Section: Bypass Diode Methodologymentioning

confidence: 99%

Performance Assessment of Mismatch Mitigation Methodologies Using Field Data in Solar Photovoltaic Systems

et al. 2022

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“…Equations ( 3) and ( 4) are the mathematical representation for the velocity ∆X and position x i of each particle where k 1 and k 2 are the cognition coefficients to accelerate the particles to the suitable paths [84]. The parameter ω is called the inertia weight whereas r 1 and r 2 are arbitrary variables that belong in the range [0, 1] [85].…”

Section: Particle Swarm Optimisationmentioning

confidence: 99%

Maximum Power Point Tracking Techniques for Photovoltaic Panel: A Review and Experimental Applications

et al. 2021

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This article contains a review of essential control techniques for maximum power point tracking (MPPT) to be applied in photovoltaic (PV) panel systems. These devices are distinguished by their capability to transform solar energy into electricity without emissions. Nevertheless, the efficiency can be enhanced provided that a suitable MPPT algorithm is well designed to obtain the maximum performance. From the analyzed MPPT algorithms, four different types were chosen for an experimental evaluation over a commercial PV system linked to a boost converter. As the reference that corresponds to the maximum power is depended on the irradiation and temperature, an artificial neural network (ANN) was used as a reference generator where a high accuracy was achieved based on real data. This was used as a tool for the implementation of sliding mode controller (SMC), fuzzy logic controller (FLC) and model predictive control (MPC). The outcomes allowed different conclusions where each controller has different advantages and disadvantages depending on the various factors related to hardware and software.

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“…Simulation of laboratory prototype and experimental findings were discussed. S. C. Kaushik et al [19] suggest an analysis of inverters that use solar irradiation through a simple system that includes a lift converter and a single-stage sine wave support inverter. The suggested architecture embraces the low voltage of a photovoltaic (PV) cluster by charging the battery with a dc-dc help converter.…”

Section: Closing)mentioning

confidence: 99%

Grid Connected PV System with MPPT Scheme Using Particle Swarm Optimization Technique

2021

IJICCN

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Electrical Energy has become one of the basic needs of an individual in this era. The requirement for energy is constantly rising day by day. The majority of electricity is presently generated by traditional thermal or hydro power plants. Renewable sources are very fashionable and popular for green energy and very widespread used nowadays. The electricity provided by photovoltaic (PV) systems is a very typical example of a clean renewable energy supply. When it comes to using PV as a renewable energy source, components like as an inverter are frequently utilized in this circumstance, and many ways have been presented to date to extract the most produced power from a PV system. This article recommends a 50 kW 3-phase grid-associated system with different topologies such as, single stage and dual stage P&O based MPPT techniques. A DC-AC converter, based on PWM for processing the energy generated by a solar array that is composed of SunPower SPR-230E-WHT-D PV modules with high power factor at any solar radiation. To improve the power quality, A control approach is presented in this article using Park's transformation (dq0 transformation) operators with for any scenario of solar radiation, a current control function in three phase grid-connected solar power generation with unity power factor is used. Harmonic components and reactive power provided by loads attached to the device can be compensated by the system and along with this a PSO based topology for MPPT to compare PSO with P&O technique and obtain best results. .

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Improved PSO: A Comparative Study in MPPT Algorithm for PV System Control under Partial Shading Conditions

Cited by 67 publications

References 32 publications

Performance Assessment of Mismatch Mitigation Methodologies Using Field Data in Solar Photovoltaic Systems

Performance Assessment of Mismatch Mitigation Methodologies Using Field Data in Solar Photovoltaic Systems

Maximum Power Point Tracking Techniques for Photovoltaic Panel: A Review and Experimental Applications

Grid Connected PV System with MPPT Scheme Using Particle Swarm Optimization Technique

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