A Novel Hybrid MPPT Controller for PEMFC Fed High Step-Up Single Switch DC-DC Converter

Rafikiran, Shaik; Basha, C. H. Hussaian; Dhanamjayulu, C.

doi:10.1155/2024/9196747

Cited by 8 publications

(2 citation statements)

References 83 publications

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“…In fact, the PV sources and dependability of converter used to link solar systems to power distribution network modules are specifications that can significantly affect the yearly output of energy and, as a result, the economic sustainability of a the plant 6 , 7 . One of the goals of solar systems linked to the grid is to manage the current and power supplied into the network in accordance with international standards 8 . Therefore, specifications that have historically used to design an inverter are the rated power, the rated voltage of the network, maximum DC link voltage, the inverter command, etc.…”

Section: Introductionmentioning

confidence: 99%

Enhancing grid-connected photovoltaic system performance with novel hybrid MPPT technique in variable atmospheric conditions

Zaghba,

Borni,

Benbitour

et al. 2024

Sci Rep

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This paper proposes an innovative approach to improve the performance of grid-connected photovoltaic (PV) systems operating in environments with variable atmospheric conditions. The dynamic nature of atmospheric parameters poses challenges for traditional control methods, leading to reduced PV system efficiency and reliability. To address this issue, we introduce a novel integration of fuzzy logic and sliding mode control methodologies. Fuzzy logic enables the PV system to effectively handle imprecise and uncertain atmospheric data, allowing for decision-making based on qualitative inputs and expert knowledge. Sliding mode control, known for its robustness against disturbances and uncertainties, ensures stability and responsiveness under varying atmospheric conditions. Through the integration of these methodologies, our proposed approach offers a comprehensive solution to the complexities posed by real-world atmospheric dynamics. We anticipate applications in grid-connected PV systems across various geographical locations and climates. By harnessing the synergistic benefits of fuzzy logic and sliding mode control, this approach promises to significantly enhance the performance and reliability of grid-connected PV systems in the presence of variable atmospheric conditions. On the grid side, both PSO (Particle Swarm Optimization) and GA (Genetic Algorithm) algorithms were employed to tune the current controller of the PI (Proportional-Integral) current controller (inverter control). Simulation results, conducted using MATLAB Simulink, demonstrate the effectiveness of the proposed hybrid MPPT technique in optimizing the performance of the PV system. The technique exhibits superior tracking efficiency, achieving a convergence time of 0.06 s and an efficiency of 99.86%, and less oscillation than the classical methods. The comparison with other MPPT techniques highlights the advantages of the proposed approach, including higher tracking efficiency and faster response times. The simulation outcomes are analyzed and demonstrate the effectiveness of the proposed control strategies on both sides (the PV array and the grid side). Both PSO and GA offer effective methods for tuning the parameters of a PI current controller. According to considered IEEE standards for low-voltage networks, the total current harmonic distortion values (THD) obtained are considerably high (8.33% and 10.63%, using the PSO and GA algorithms, respectively). Comparative analyses with traditional MPPT methods demonstrate the superior performance of the hybrid approach in terms of tracking efficiency, stability, and rapid response to dynamic changes.

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Section: Introductionmentioning

confidence: 99%

Enhancing grid-connected photovoltaic system performance with novel hybrid MPPT technique in variable atmospheric conditions

Zaghba,

Borni,

Benbitour

et al. 2024

Sci Rep

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“…Renewable energy technologies are rapidly being implemented in rural regions 1 – 3 . Nonetheless, because to the variable nature of renewablesources, MPPT algorithms are essential to maximize power output.…”

Section: Introductionmentioning

confidence: 99%

Coordinated power management strategy for reliable hybridization of multi-source systems using hybrid MPPT algorithms

Rekioua,

Mokrani,

Kakouche

et al. 2024

Sci Rep

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This research discusses the solar and wind sourcesintegration in aremote location using hybrid power optimization approaches and a multi energy storage system with batteries and supercapacitors. The controllers in PV and wind turbine systems are used to efficiently operate maximum power point tracking (MPPT) algorithms, optimizing the overall system performance while minimizing stress on energy storage components. More specifically, on PV generator, the provided method integrating the Perturb & Observe (P&O) and Fuzzy Logic Control (FLC) methods. Meanwhile, for the wind turbine, the proposed approach combines the P&O and FLC methods. These hybrid MPPT strategies for photovoltaic (PV) and wind turbine aim to optimize its operation, taking advantage of the complementary features of the two methods. While the primary aim of these hybrid MPPT strategies is to optimize both PV and wind turbine, therefore minimizing stress on the storage system, they also aim to efficiently supply electricity to the load. For storage, in this isolated renewable energy system, batteries play a crucial role due to several specific benefits and reasons. Unfortunately, their energy density is still relatively lower compared to some other forms of energy storage. Moreover, they have a limited number of charge–discharge cycles before their capacity degrades significantly. Supercapacitors (SCs) provide significant advantages in certain applications, particularly those that need significant power density, quick charging and discharging, and long cycle life. However, their limitations, such as lower energy density and specific voltage requirements, make them most effective when combined with other storage technologies, as batteries. Furthermore, their advantages are enhanced, result a more dependable and cost-effective hybrid energy storage system (HESS). The paper introduces a novel algorithm for power management designed for an efficient control. Moreover, it focuses on managing storage systems to keep their state of charge (SOC) within defined range. The algorithm is simple and effective. Furthermore, it ensures the longevity of batteries and SCs while maximizing their performance. The results reveal that the suggested method successfully keeps the limits batteries and SCs state of charge (SOC). To show the significance of system design choices and the impact on the battery’s SOC, which is crucial for the longevity and overall performance of the energy storage components, a comparison in of two systems have been made. A classical system with one storage (PV/wind turbine/batteries) and the proposed system with HESS (PV/wind turbine system with batteries). The results show that the suggested scenario investigated with both wind and solar resources appears to be the optimum solution for areas where the two resources are both significant and complementary. The balance between the two resources seems to contribute to less stress on storage components, potentially leading to a longer lifespan. An economical study has been made, using the Homer Pro software, to show the feasibility of the proposed system in the studied area.

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Determining the exergy and energy efficiency of an organic Rankine cycle using fuzzy logic method

Elbir,

Şahin

2024

Env Prog and Sustain Energy

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The Organic Rankine Cycle (ORC) serves as a pivotal technology for energy conversion, harnessing high‐temperature organic liquids sourced from heat reservoirs to propel turbines and generate electricity. This process not only facilitates the conversion of heat into mechanical energy but also significantly mitigates environmental impacts. ORC stands out as the preferred technology for enhancing energy efficiency and leveraging low‐temperature resources optimally. With the advent of artificial intelligence, particularly fuzzy logic, these systems have witnessed integration, providing a robust solution to address uncertainties. Unlike traditional logic, which offers binary outcomes, fuzzy logic offers a more adaptable approach by accommodating uncertainty, thus enabling modeling of complex real‐world situations. In this study, utilizing the fuzzy logic method, we estimated the energy and exergy efficiency of the ORC, resulting in an impressive 90% estimation accuracy.

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A Novel Hybrid MPPT Controller for PEMFC Fed High Step-Up Single Switch DC-DC Converter

Cited by 8 publications

References 83 publications

Enhancing grid-connected photovoltaic system performance with novel hybrid MPPT technique in variable atmospheric conditions

Enhancing grid-connected photovoltaic system performance with novel hybrid MPPT technique in variable atmospheric conditions

Coordinated power management strategy for reliable hybridization of multi-source systems using hybrid MPPT algorithms

Determining the exergy and energy efficiency of an organic Rankine cycle using fuzzy logic method

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