Theoretical and behavioral analysis of power optimizers for grid-connected photovoltaic systems

Silva, João Lucas de Souza; Moreira, Hugo Soeiro; Reis, Marcos Vinícios Gomes dos; Barros, Tárcio André dos Santos; Villalva, Marcelo Gradella

doi:10.1016/j.egyr.2022.07.154

Cited by 10 publications

(5 citation statements)

References 30 publications

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“…However, because the electricity in the system must be transformed several times through inverters, boosters, and rectifiers, the losses are high, and the final electricity utilization efficiency is low (∼89%). 400 Off-grid syngas production can obtain lower power prices and substantially reduce the cost. Compared with the grid-connected syngas production system, the off-grid system has a higher efficiency and lower equipment investment costs, such as the voltage rise/buck, rectification, and grid connection.…”

Section: Economic Feasibility Analysismentioning

confidence: 99%

“…Moreover, in grid-connected syngas production, the main equipment is mature, and the voltage is stable. However, because the electricity in the system must be transformed several times through inverters, boosters, and rectifiers, the losses are high, and the final electricity utilization efficiency is low (∼89%) . Off-grid syngas production can obtain lower power prices and substantially reduce the cost.…”

Section: Sustainability and Economy: Applicationsmentioning

confidence: 99%

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Syngas Production from CO₂ and H₂O via Solid-Oxide Electrolyzer Cells: Fundamentals, Materials, Degradation, Operating Conditions, and Applications

Hou,

Jiang,

Wei

et al. 2024

Chem. Rev.

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Highly efficient coelectrolysis of CO 2 /H 2 O into syngas (a mixture of CO/ H 2 ), and subsequent syngas conversion to fuels and value-added chemicals, is one of the most promising alternatives to reach the corner of zero carbon strategy and renewable electricity storage. This research reviews the current state-of-the-art advancements in the coelectrolysis of CO 2 /H 2 O in solid oxide electrolyzer cells (SOECs) to produce the important syngas intermediate. The overviews of the latest research on the operating principles and thermodynamic and kinetic models are included for both oxygen-ion-and proton-conducting SOECs. The advanced materials that have recently been developed for both types of SOECs are summarized. It later elucidates the necessity and possibility of regulating the syngas ratios (H 2 :CO) via changing the operating conditions, including temperature, inlet gas composition, flow rate, applied voltage or current, and pressure. In addition, the sustainability and widespread application of SOEC technology for the conversion of syngas is highlighted. Finally, the challenges and the future research directions in this field are addressed. This review will appeal to scientists working on renewable-energy-conversion technologies, CO 2 utilization, and SOEC applications. The implementation of the technologies introduced in this review offers solutions to climate change and renewable-power-storage problems.

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Section: Economic Feasibility Analysismentioning

confidence: 99%

Section: Sustainability and Economy: Applicationsmentioning

confidence: 99%

Syngas Production from CO₂ and H₂O via Solid-Oxide Electrolyzer Cells: Fundamentals, Materials, Degradation, Operating Conditions, and Applications

Hou,

Jiang,

Wei

et al. 2024

Chem. Rev.

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“…The GAs are an adaptive search mechanism based on the Darwinian principle of natural selection and genetic reproduction, where their main task is to efficiently search for solutions that are in line with the problem's objective. This characteristic makes GAs efficient for finding optimal or approximate solutions to various problems [27,28]. These algorithms play a crucial role in overcoming issues associated with partial shading in photovoltaic arrays, providing robust optimization strategies that contribute to improved energy extraction in varying environmental conditions.…”

Section: Introductionmentioning

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 random fluctuation of grid-connected PV power can lead to voltage and frequency fluctuations of the grid, and further affect the power quality and supply reliability of the grid [2,3]. Therefore, the range of PV power fluctuation should be controlled within a safe range by taking some effective measures [4,5].…”

Section: Introductionmentioning

confidence: 99%

Capacity Optimal Allocation Method and Frequency Division Energy Management for Hybrid Energy Storage System Considering Grid-Connected Requirements in Photovoltaic System

Jin

et al. 2023

Energies

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The coordination between a hybrid energy storage system (HESS) and photovoltaic (PV) power station can significantly reduce grid-connected PV power fluctuations. This study proposes a HESS capacity optimal allocation method considering the grid-connected PV requirements. Firstly, based on the power fluctuation requirements in the PV power station grid-connected regulations, the maximum power point tracking working point switching control is performed for the PV power station, from which the grid-connected PV power and HESS power are obtained. Then, a capacity optimal allocation method and frequency division energy management strategy (EMS) for HESS is proposed to find the energy response and power response of each energy storage source. Furthermore, a multi-objective optimization function with HESS cutoff frequency as the independent variable is constructed, and the input cost of HESS and the life loss of the lithium battery are optimized. Finally, the overall strategy is compared and analyzed under the scenarios of three typical PV power fluctuations. Simulation results show that the control strategy has a good smoothing effect on PV power fluctuations. From the perspective of the annual comprehensive input cost, HESS realizes the optimal capacity allocation when the cutoff frequency is 0.0066 Hz.

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Theoretical and behavioral analysis of power optimizers for grid-connected photovoltaic systems

Cited by 10 publications

References 30 publications

Syngas Production from CO₂ and H₂O via Solid-Oxide Electrolyzer Cells: Fundamentals, Materials, Degradation, Operating Conditions, and Applications

Syngas Production from CO₂ and H₂O via Solid-Oxide Electrolyzer Cells: Fundamentals, Materials, Degradation, Operating Conditions, and Applications

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

Capacity Optimal Allocation Method and Frequency Division Energy Management for Hybrid Energy Storage System Considering Grid-Connected Requirements in Photovoltaic System

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Theoretical and behavioral analysis of power optimizers for grid-connected photovoltaic systems

Cited by 10 publications

References 30 publications

Syngas Production from CO2 and H2O via Solid-Oxide Electrolyzer Cells: Fundamentals, Materials, Degradation, Operating Conditions, and Applications

Syngas Production from CO2 and H2O via Solid-Oxide Electrolyzer Cells: Fundamentals, Materials, Degradation, Operating Conditions, and Applications

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

Capacity Optimal Allocation Method and Frequency Division Energy Management for Hybrid Energy Storage System Considering Grid-Connected Requirements in Photovoltaic System

Contact Info

Product

Resources

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Syngas Production from CO₂ and H₂O via Solid-Oxide Electrolyzer Cells: Fundamentals, Materials, Degradation, Operating Conditions, and Applications

Syngas Production from CO₂ and H₂O via Solid-Oxide Electrolyzer Cells: Fundamentals, Materials, Degradation, Operating Conditions, and Applications