A Hybrid Energy Storage System Strategy for Smoothing Photovoltaic Power Fluctuation Based on Improved HHO-VMD

Wu, Yuhu; Li, Lianmin; Liu, Zhongxiang

doi:10.1155/2023/9633843

Cited by 4 publications

(2 citation statements)

References 19 publications

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“…There are three ways to find MPPT when solving non-linear equations in a controller. Numerical approaches [10], evolutionary algorithms [15], and analytical methods [16] are a few of these techniques. In order to solve non-linear calculations with numerous unknowns, the first method, which mostly uses linear calculations, must be initiated.…”

Section: Introductionmentioning

confidence: 99%

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PV Cells and Modules Parameter Estimation Using Coati Optimization Algorithm

Elshara,

Hançerlioğullari,

Rahebi

et al. 2024

Energies

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In recent times, there have been notable advancements in solar energy and other renewable sources, underscoring their vital contribution to environmental conservation. Solar cells play a crucial role in converting sunlight into electricity, providing a sustainable energy alternative. Despite their significance, effectively optimizing photovoltaic system parameters remains a challenge. To tackle this issue, this study introduces a new optimization approach based on the coati optimization algorithm (COA), which integrates opposition-based learning and chaos theory. Unlike existing methods, the COA aims to maximize power output by integrating solar system parameters efficiently. This strategy represents a significant improvement over traditional algorithms, as evidenced by experimental findings demonstrating improved parameter setting accuracy and a substantial increase in the Friedman rating. As global energy demand continues to rise due to industrial expansion and population growth, the importance of sustainable energy sources becomes increasingly evident. Solar energy, characterized by its renewable nature, presents a promising solution to combat environmental pollution and lessen dependence on fossil fuels. This research emphasizes the critical role of COA-based optimization in advancing solar energy utilization and underscores the necessity for ongoing development in this field.

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Section: Introductionmentioning

confidence: 99%

“…Energies 2024, 17, 1716 3 of 26 GWO [18], and IHHO-VMD [16] algorithms are used for this purpose. Table 1 presents the application of meta-heuristic, bio-inspired, and hybrid optimization algorithms for parameter extraction of PV cell models.…”

Section: Introductionmentioning

confidence: 99%

PV Cells and Modules Parameter Estimation Using Coati Optimization Algorithm

Elshara,

Hançerlioğullari,

Rahebi

et al. 2024

Energies

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Techno-economic evaluation of the electrochemical production of renewable ethylene oxide from fluctuating power sources and CO2

Rodin

Böhm

Lindorfer

et al. 2023

Journal of CO2 Utilization

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A new combined transient electromagnetic noise reduction method of VMD-SVD-WTD based on improved dung beetle optimization algorithm with multi-strategy fusion

Song,

Feng,

et al. 2024

Meas. Sci. Technol.

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The transient electromagnetic method (TEM) is now commonly used in the detection of coal mined-out areas, but it is susceptible to various sources of noise during field site probing, significantly impacting the accuracy of detection. Variational mode decomposition (VMD) has gained widespread adoption for eliminating noise in TEM signals. However, a single VMD may not effectively address both full-band noise and residual Gaussian white noise. To address this limitation, the singular value decomposition (SVD) and wavelet threshold denoising (WTD) are introduced correspondingly. Furthermore, this paper tackles challenges related to parameters selection in VMD and traditional optimization algorithms by proposing the integration of Dung Beetle Optimization (DBO) enhanced with Circle chaotic mapping, random walk strategy, and crisscross optimization algorithm (CRCDBO). Consequently, a new combined TEM noise reduction method, VMD-SVD-WTD based on CRCDBO is presented. Through comprehensive simulation tests and comparative analyses, the SNR of this method is improved by 12.79% compared with VMD and the RMSE is 0.0011, which demonstrate the superiority and effectiveness of VMD-SVD-WTD based on CRCDBO in noise reduction. Meanwhile, this method is applied to an iron ore mine in Shanxi, which can accurately monitor the location of the mined-out area and has good application value.

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A Hybrid Energy Storage System Strategy for Smoothing Photovoltaic Power Fluctuation Based on Improved HHO-VMD

Cited by 4 publications

References 19 publications

PV Cells and Modules Parameter Estimation Using Coati Optimization Algorithm

PV Cells and Modules Parameter Estimation Using Coati Optimization Algorithm

Techno-economic evaluation of the electrochemical production of renewable ethylene oxide from fluctuating power sources and CO2

A new combined transient electromagnetic noise reduction method of VMD-SVD-WTD based on improved dung beetle optimization algorithm with multi-strategy fusion

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