A Review on DC-DC Converters with Photovoltaic System in DC Micro Grid

Radhika, S.; Margaret, Vijaya

doi:10.1088/1742-6596/1804/1/012155

Cited by 18 publications

(8 citation statements)

References 17 publications

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“…The literature reveals a diverse array of converters [32,33]. Notable among these for photovoltaic projects are (i) buck, (ii) boost, and (iii) buck-boost DC-DC converters.…”

Section: Power Converters and Mppt Algorithmsmentioning

confidence: 99%

Development of an MPPT-Based Genetic Algorithm for Photovoltaic Systems versus Classical MPPT Techniques in Scenarios with Partial Shading

de Oliveira,

Brandt,

Salvadori

et al. 2024

Inventions

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Photovoltaic (PV) systems face challenges in achieving maximum energy extraction due to the non-linear nature of their current versus voltage (IxV) characteristics, which are influenced by temperature and solar irradiation. These factors lead to variations in power generation. The situation becomes even more complex under partial shading conditions, causing distortion in the characteristic curve and creating discrepancies between local and global maximum power points. Achieving the highest output is crucial to enhancing energy efficiency in such systems. However, conventional maximum power point tracking (MPPT) techniques often struggle to locate the global maximum point required to extract the maximum power from the PV system. This study employs genetic algorithms (GAs) to address this issue. The system can efficiently search for the global maximum point using genetic algorithms, maximizing power extraction from the PV arrangements. The proposed approach is compared with the traditional Perturb and Observe (P&O) method through simulations, demonstrating its superior effectiveness in achieving optimal power generation.

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“…The literature reveals a diverse array of converters [32,33]. Notable among these for photovoltaic projects are (i) buck, (ii) boost, and (iii) buck-boost DC-DC converters.…”

Section: Power Converters and Mppt Algorithmsmentioning

confidence: 99%

Development of an MPPT-Based Genetic Algorithm for Photovoltaic Systems versus Classical MPPT Techniques in Scenarios with Partial Shading

de Oliveira,

Brandt,

Salvadori

et al. 2024

Inventions

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show abstract

“…The boost converter outperforms all other DC to DC converters in terms of voltage management, power, and efficiency in achieving the desired results. The output voltages of a PV energy system should be adjusted by altering the switching frequency of a DC-DC boost converter [35,[40][41][42][43][44]. The output voltage and connected load must be coordinated to achieve this.…”

Section: Boost Convertermentioning

confidence: 99%

“…A string inverter is the most used technology because it is efficient and cost-effective. In string inverter, a string of several PV-modules is connected to one inverter with a single-phase grid connection [34,35]. There are some technical issues with it.…”

mentioning

confidence: 99%

Modular Level Power Electronics (MLPE) Based Distributed PV System for Partial Shaded Conditions

et al. 2022

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Photovoltaic (PV) solar energy is a very promising renewable energy technology, as solar PV systems are less efficient because of climate conditions, temperature, and irradiance change. So, to resolve this problem, two PV topologies are used, i.e., centralized and distributed PV systems. The centralized technique is quicker than the distributed technique in terms of convergence speed and a faster power tracking approach. In the event of uniform irradiance, the centralized system also has the benefit of supplying superior energy, but in PS scenarios, a huge amount of energy is lost. However, the distributed approach requires current and voltage measurements at each panel, resulting in a massive data set. Nevertheless, in the event of shading circumstances, the distributed technique is highly effective because a modular level power electronics (MLPE) converter is used. While in a centralized PV system, there is only a single DC-DC converter for the whole PV system. In this research work, a DFO-based DC-DC converter is designed for modular level, with an ability to perform a rapid shutdown of the module under fire hazard conditions, troubleshooting, and monitoring of a module in a very efficient way. The robustness of the proposed MPPT DFO algorithm is tested with different techniques such as Cuckoo Search (CS), Fruit Fly Optimization (FFO), Particle swarm optimization (PSO), Incremental conductance (InC), and Perturb and observe(P&O) techniques. The proposed technique shows better results in terms of MPPT efficiency, dynamic responsiveness, and harmonics. Furthermore, the result of MLPE and the centralized system is verified by using the Helioscope with different inverter companies like SMA, Tigo, Enphase, Solar edge, and Huawei. The results prove that MLPE is a better option in the case of shading region for attaining the maximum power point.

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“…Recently, there is an interest from the specialized scientific community in detailing the different control strategies and architectures of PV systems present in the state of the art, as mentioned in [16], which presents a comprehensive report on the advances in control strategies for different PV configurations with power converters, mentioning that each configuration is unique and therefore an appropriate design is required. On the other hand, the work of [17] details a review of the topologies applied for PV systems aimed at interconnecting DC buses.…”

Section: Introductionmentioning

confidence: 99%

Control of the Maximum Power Point of a Solar Panel, Using Servo System Controller With Integrator and Pi Controller Designed by the Roots Locus Method

Garcia-Jaimes,

Herrera-Jaramillo,

Arroyave-Giraldo

et al. 2024

Rev. politec.

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Photovoltaic system applications require to use a solar panel, a power converter, and a load. When voltage reduction from a panel to a battery is necessary, a buck converter is usually proposed. In the specialized literature, there are a wide variety of controllers oriented to commercial panels; However, even though measuring the energy extraction of a solar panel is the main indicator, there are other metrics such as switching effort that also affect the overall performance of the PV system. The main contribution of this work is the design of two digital controllers for photovoltaic energy extraction: a servo system controller with integrator and a PI controller based on root locus techniques considering an MPPT algorithm and system perturbations to demonstrate the reliability and efficiency of the controllers under different system scenarios. Finally, a detailed explanation of the performance of the controllers is given, showing that the two algorithms are suitable for controlling the point of maximum power in photovoltaic panels.

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A Review on DC-DC Converters with Photovoltaic System in DC Micro Grid

Cited by 18 publications

References 17 publications

Development of an MPPT-Based Genetic Algorithm for Photovoltaic Systems versus Classical MPPT Techniques in Scenarios with Partial Shading

Development of an MPPT-Based Genetic Algorithm for Photovoltaic Systems versus Classical MPPT Techniques in Scenarios with Partial Shading

Modular Level Power Electronics (MLPE) Based Distributed PV System for Partial Shaded Conditions

Control of the Maximum Power Point of a Solar Panel, Using Servo System Controller With Integrator and Pi Controller Designed by the Roots Locus Method

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