Improved Performance of a Photovoltaic Panel by MPPT Algorithms

Tourqui, Djamel Eddine; Betka, Achour; Smaili, Atallah; TayebAllaoui,

doi:10.5772/intechopen.79709

Cited by 4 publications

(1 citation statement)

References 23 publications

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“…A circuit stated in Figure 3 can be represented by the volt-ampere equation of a PV system stated by (1) [13], [14]. Where Iph: solar-induced current, Ir: irradiance falling on the cell (light intensity), in W/m 2 , Iph0: solargenerated current measured for irradiance Ir0, ID: reverse diode's saturation current, 𝑅𝑠 and 𝑅sh: series and shunt resistance respectively in ohm, kB: Boltzmann constant, T: the value of the device simulation temperature parameter, q: an electron's elementary charge, N: ideality factor, and V= solar cell ports' voltage.…”

Section: Pv Array Design Characteristicsmentioning

confidence: 99%

Operation and control of a 1-Φ induction machine fed from a typical transformer-less photovoltaic (PV) cells

Shyaa

Jasim

Takheal

et al. 2023

IJPEDS

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<p>The work given in this paper illustrates how an adjustable speed 1-Φ induction machine's auxiliary winding is driven. Trina Solar's TSM-250PA05.08 array type model, which is made up of 1 series and 8 parallel-connected photovoltaic (PV) modules, feeds a single induction machine. PV system with perturb and observe (P&O) technique for maximum power point tracking (MPPT) tracking. The induction motor has been controlled using the field-oriented control (FOC) controlling approach. The outcomes of the 1-induction motor simulation were closely related to the parameters of insolation change. The outcomes are taken into account for the system's reaction FOC, which had been demonstrated in electromagnetic torque Te, main and auxiliary winding currents, and motor rotor speed.</p>

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Section: Pv Array Design Characteristicsmentioning

confidence: 99%

Operation and control of a 1-Φ induction machine fed from a typical transformer-less photovoltaic (PV) cells

Shyaa

Jasim

Takheal

et al. 2023

IJPEDS

View full text Add to dashboard Cite

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Comparative Evaluation of Traditional and Advanced Algorithms for Photovoltaic Systems in Partial Shading Conditions

Sørensen,

Mihet-Popa

2024

Solar

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The optimization of photovoltaic (PV) systems is vital for enhancing efficiency and economic viability, especially under Partial Shading Conditions (PSCs). This study focuses on the development and comparison of traditional and advanced algorithms, including Perturb and Observe (P&O), Incremental Conductance (IC), Fuzzy Logic Control (FLC), Grey Wolf Optimization (GWO), Particle Swarm Optimization (PSO), and Artificial Neural Networks (ANN), for efficient Maximum Power Point Tracking (MPPT). Simulations conducted in the MATLAB/Simulink software package evaluated these algorithms’ performances under various shading scenarios. The results indicate that, while traditional methods like P&O and IC are effective under uniform conditions, advanced techniques, particularly ANN-based MPPT, exhibit superior efficiency and faster convergence under PSCs. This study concludes that integrating Artificial Intelligence (AI) and Machine Learning (ML) into MPPT algorithms significantly enhances the reliability and efficiency of PV systems, paving the way for a broader adoption of solar energy technologies in diverse environmental conditions. These findings contribute to advancing renewable energy technology and supporting green energy transition.

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Studying Relative Merits of FOC and DTC for 1-∅ Synchronous Induction Motor Powered by Solar Cell

Jasim,

Shyaa

2024

IJEER

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The paper studies the merits of a 1-∅ induction motor powered by a Trina Solar's module TSM-250PA05.08 that employs the perturbs and observes (P&O) technique, utilizing two types of controllers, FOC and DTC. The merits of the two types of controllers were studied according to the results of the electromagnetic torque (Te), the currents of the main winding Ia and auxiliary winding Ib, and the Speed of a rotor. The results showed that both controllers' electromagnetic torque and speed rotor are very close. The results also showed distortions in the main and auxiliary winding currents when using the DTC controller. In contrast, when utilizing FOC, the results demonstrate smoother waveforms for main and auxiliary winding curves. Regarding response time, DTC achieves a faster rise time for Te and Ib than FOC. Also, concerning settling time, DTC achieves a faster settling time than FOC.

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Improved Performance of a Photovoltaic Panel by MPPT Algorithms

Cited by 4 publications

References 23 publications

Operation and control of a 1-Φ induction machine fed from a typical transformer-less photovoltaic (PV) cells

Operation and control of a 1-Φ induction machine fed from a typical transformer-less photovoltaic (PV) cells

Comparative Evaluation of Traditional and Advanced Algorithms for Photovoltaic Systems in Partial Shading Conditions

Studying Relative Merits of FOC and DTC for 1-∅ Synchronous Induction Motor Powered by Solar Cell

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