Using enhanced Variational Modal Decomposition and Dung Beetle Optimization Algorithm optimization-kernel Extreme Learning Machine model to forecast short-term wind power

You, Guo-Dong; Chang, Zhen-Cheng; Li, Xing-Yun; Liu, Zhi-Feng; Xiao, Zi-Yue; Lu, Yu-Ran; Zhao, Shuangle

doi:10.1016/j.epsr.2024.110904

Electric Power Systems Research

2024

DOI: 10.1016/j.epsr.2024.110904

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Using enhanced Variational Modal Decomposition and Dung Beetle Optimization Algorithm optimization-kernel Extreme Learning Machine model to forecast short-term wind power

Guo-Dong You,

Zhen-Cheng Chang,

Xing-Yun Li

et al.

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Cited by 2 publications

References 21 publications

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Enhancing energy quality and grid stability with improved adaptive controller for renewable energy conversion systems under weak grid conditions

da Silva,

Hollweg,

Leston

et al. 2024

Electric Power Systems Research

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Enhancing energy quality and grid stability with improved adaptive controller for renewable energy conversion systems under weak grid conditions

da Silva,

Hollweg,

Leston

et al. 2024

Electric Power Systems Research

View full text Add to dashboard Cite

Research on the Mechanism of Thermal Power Enhancement in an Interior Permanent Magnet Eddy Current Heater Driven by Wind

Lu,

Zhou,

Hong

et al. 2024

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This article uses numerical simulation methods to study the comprehensive influences of the stator structure and materials on the thermal power of an interior permanent magnet eddy current heater (IPMECH). By analyzing the air-gap magnetic flux density (MFD), stator MFD, thermal power, and torque at different rotational speeds, the mechanism of thermal power enhancement has been revealed in depth. The results indicate that the armature magnetic field (MF) generated by the eddy current produces a magnetization effect on the side of its rotation direction, but the MF in the stator will be weakened in general, and this effect becomes more significant with the increase in the rotational speed. The stator material of the IPMECH has higher permeability, which has higher thermal power and torque, and a lower proportion of high-order harmonics, which is beneficial for reducing the radial vibration of the IPMECH. A permanent magnet with high remanence can increase the thermal power and torque of the IPMECH. Reducing the length of the air gap is beneficial for improving the thermal power, but it also increases the harmonic MFD. The rotational speed is 200 rpm, the air gap is 0.1 mm and 2 mm, and the thermal power is 1.12 kW and 0.35 kW, respectively. The fundamental amplitudes of the 0.1 mm and 2 mm air-gap lengths are 0.94 T and 0.64 T, respectively, and the 3rd harmonic Bi* values are 0.24 and 0.18, respectively. At rotational speeds of 200 rpm, 800 rpm, and 1600 rpm, the δPmax values are 17 mm, 11 mm, and 8 mm, respectively. When designing a heater, the higher the rotational speed, the smaller the stator wall thickness should be.

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Using enhanced Variational Modal Decomposition and Dung Beetle Optimization Algorithm optimization-kernel Extreme Learning Machine model to forecast short-term wind power

Cited by 2 publications

References 21 publications

Enhancing energy quality and grid stability with improved adaptive controller for renewable energy conversion systems under weak grid conditions

Enhancing energy quality and grid stability with improved adaptive controller for renewable energy conversion systems under weak grid conditions

Research on the Mechanism of Thermal Power Enhancement in an Interior Permanent Magnet Eddy Current Heater Driven by Wind

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