Salp swarm optimization algorithm based MPPT design for PV-TEG hybrid system under partial shading conditions

Energy Conversion and Management, Год журнала: 2023, Номер 292, С. 117410 - 117410

Опубликована: Июль 18, 2023

Язык: Английский

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Experimental investigation of a PV/T system containing a TEG section between water-based heat exchanger and air-based heat sink

Thermal Science and Engineering Progress, Год журнала: 2023, Номер 42, С. 101909 - 101909

Опубликована: Май 15, 2023

Язык: Английский

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Comparative analysis of different MPPT techniques using boost converter for photovoltaic systems under dynamic shading conditions

Sustainable Energy Technologies and Assessments, Год журнала: 2023, Номер 57, С. 103259 - 103259

Опубликована: Май 4, 2023

Язык: Английский

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Multi-optimized reconfiguration of hybrid photovoltaic-thermoelectric generation (PV-TEG) system for performance enhancement

Energy Conversion and Management, Год журнала: 2024, Номер 307, С. 118373 - 118373

Опубликована: Март 30, 2024

Язык: Английский

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Improving the efficiency of photovoltaic-thermoelectric generator system using novel flying squirrel search optimization algorithm: Hybrid renewable and thermal energy system (RTES) for electricity generation

Process Safety and Environmental Protection, Год журнала: 2024, Номер 187, С. 104 - 116

Опубликована: Апрель 25, 2024

Язык: Английский

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Analysis of deep learning models for estimation of MPP and extraction of maximum power from hybrid PV-TEG: A step towards cleaner energy production

Energy Reports, Год журнала: 2024, Номер 11, С. 4759 - 4775

Опубликована: Апрель 27, 2024

Язык: Английский

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Improved Reptile Search Optimization Algorithm: Application on Regression and Classification Problems

Applied Sciences, Год журнала: 2023, Номер 13(2), С. 945 - 945

Опубликована: Янв. 10, 2023

The reptile search algorithm is a newly developed optimization technique that can efficiently solve various problems. However, while solving high-dimensional nonconvex problems, the retains some drawbacks, such as slow convergence speed, high computational complexity, and local minima trapping. Therefore, an improved (IRSA) based on sine cosine Levy flight proposed in this work. modified with enhanced global capabilities avoids trapping by conducting full-scale of solution space, operator jump size control factor increases exploitation agents. was applied to set 23 well-known test functions. Additionally, statistical analysis performed considering 30 runs for performance measures like best, worse, average values, standard deviation. results showed gives fast low time efficient search. For further verification, were compared RSA state-of-the-art metaheuristic techniques. In second phase paper, we used IRSA train hyperparameters weight biases multi-layer perceptron neural network smoothing parameter (σ) radial basis function network. To validate effectiveness training, trained classifier tested challenging, real-world classification Furthermore, application, IRSA-trained RBFNN regression model day-ahead wind solar power forecasting. Experimental clearly demonstrated superior prediction hybrid model. Qualitative, quantitative, comparative, statistical, complexity revealed exploration, efficiency, accuracy, technique.

Язык: Английский

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Performance of a photovoltaic-thermoelectric generator panel in combination with various solar tracking systems

Applied Thermal Engineering, Год журнала: 2023, Номер 235, С. 121336 - 121336

Опубликована: Авг. 14, 2023

Язык: Английский

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Optimal power extraction of PV-TEG hybrid system via fitness-distance-balance-based beluga whale optimization

Global Energy Interconnection, Год журнала: 2025, Номер unknown

Опубликована: Фев. 1, 2025

Язык: Английский

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State-of-the-art review of MPPT techniques for hybrid PV-TEG systems: Modeling, methodologies, and perspectives

Global Energy Interconnection, Год журнала: 2023, Номер 6(5), С. 567 - 591

Опубликована: Окт. 1, 2023

The development of alternative renewable energy technologies is crucial for alleviating climate change and promoting transformation. Of the currently available technologies, solar has promising application prospects owing to its merits being clean, safe, sustainable. Solar converted into electricity through photovoltaic (PV) cells; however, overall conversion efficiency PV modules relatively low, most captured dissipated in form heat. This not only reduces power generation cells but may also have a negative impact on electrical parameters service life cells. To overcome shortcomings, an efficient approach involves combining cell with thermoelectric generator (TEG) hybrid PV-TEG systems, which simultaneously improve system by reducing operating temperature increasing output utilizing waste heat generated from generate via TEGs. Based thorough examination literature, this study comprehensively reviews 14 maximum point tracking (MPPT) algorithms applied systems classifies them five major categories further discussion, namely conventional, mathematics-based, metaheuristic, artificial intelligence, other algorithms. review aims inspire advanced ideas research MPPT systems.

Язык: Английский

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