Design and performance comparisons of power converters for battery energy storage systems

Xavier, Lucas S.; Sousa, Clodualdo Venício de; Pereira, Heverton Augusto; Mendes, Victor F.

doi:10.1002/cta.3590

Cited by 6 publications

(1 citation statement)

References 52 publications

(104 reference statements)

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“…We set the efficiency of the battery as a constant since we tested the policies in a simulated environment instead of a hardware environment. In a real hardware system, the efficiency of the battery and inverter is strictly not linear [23], and we use the constant to approximate the efficiency since we mainly focus on the differences between different policies in our simulated environment. The grid search method is used to determine the model hyperparameters.…”

Section: Experiments Setupmentioning

confidence: 99%

FastInformer-HEMS: A Lightweight Optimization Algorithm for Home Energy Management Systems

Chen

Ning

2023

Energies

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In a smart home with distributed energy resources, the home energy management system (HEMS) controls the photovoltaic (PV) storage system by executing the optimization algorithm to achieve the lowest power cost. The existing mixed integer linear programming (MILP) algorithm is not suitable for execution on the end-user side due to its high computational complexity. The HEMS algorithm based on a long short-term memory neural network (LSTM-HEMS) can effectively solve the problem of the high computational complexity of MILP, but its optimization outcome is not high due to the accumulation of prediction errors. In order to achieve a better balance between computational complexity and optimization outcome, this paper proposes a lightweight optimization algorithm called the FastInformer-HEMS, which introduces the E-Attn attention mechanism based on Informer and uses global average pooling to extract the attention characteristics. Meanwhile, the proposed method introduces the maximum self-consumption algorithm as a backup strategy to ensure the safe operation of the system. The simulated results show that the computational complexity of the proposed FastInformer-HEMS is the lowest among the existing algorithms. Compared with the existing LSTM-HEMS, the proposed algorithm reduces the power consumption cost by 12.3% and 6.6% in the two typical scenarios, while the execution time decreases by 13.6 times.

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Section: Experiments Setupmentioning

confidence: 99%

FastInformer-HEMS: A Lightweight Optimization Algorithm for Home Energy Management Systems

Chen

Ning

2023

Energies

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Stacked bidirectional DC‐DC converter based on classical boost/buck converter for uninterruptible power supply applications

Nimitti,

Andrade

2024

Circuit Theory & Apps

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SummaryIn this paper, a new stacked bidirectional non‐isolated DC‐DC converter for uninterruptible power supply applications is presented. It is a stacked adaptation of the classical bidirectional boost/buck converter and presents improvements such as low number of components; low voltage and current stress on components; high efficiency; and simplicity of operation. In addition, in this paper, the modeling and control of the proposed converter are done, and a comparative evaluation among proposed converter with similar topologies is evaluated. A prototype of 1 kW, 144 to 400 V, is developed in laboratory to validate the theoretical evaluations of proposed converter. Besides that, the proposed converter is also evaluated under different dynamic condition, which illustrates the effectiveness of the converter. Finally, the maximum efficiency obtained is 96.38% in step‐up mode and 95.7% in step‐down mode.

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Overview of Main Electrolyzer Technologies and Power Electronic Converter Topologies for Enabling Hydrogen Production Through Water Electrolysis

El Kattel,

Praça,

Mayer

et al. 2024

Circuit Theory & Apps

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This manuscript offers an in‐depth exploration of electrolysis, focusing on the various types of electrolyzers and providing a detailed analysis of their respective advantages and disadvantages. Additionally, it presents a comprehensive review of DC–DC and AC–DC converters, highlighting their essential roles in green hydrogen production and explaining their functionality and applications in detail. Furthermore, the manuscript examines the diverse power electronic systems used in green hydrogen production, underscoring the crucial importance of converters. The investigation also covers effective strategies for integrating these technologies, with the goal of optimizing the green hydrogen production process. This study aims to significantly advance knowledge in sustainable technologies, emphasizing the pivotal role of power electronics in electrolysis, fostering the generation of renewable energy, and reinforcing the commitment to a greener and more sustainable future.

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Design and performance comparisons of power converters for battery energy storage systems

Cited by 6 publications

References 52 publications

FastInformer-HEMS: A Lightweight Optimization Algorithm for Home Energy Management Systems

FastInformer-HEMS: A Lightweight Optimization Algorithm for Home Energy Management Systems

Stacked bidirectional DC‐DC converter based on classical boost/buck converter for uninterruptible power supply applications

Overview of Main Electrolyzer Technologies and Power Electronic Converter Topologies for Enabling Hydrogen Production Through Water Electrolysis

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