Magnetic Field Sensor Based on a Fiber Taper Integrated in a Magnetic Polymer Micro-Ellipsoid

Li, Min; Pan, Xinyue; Hao, Yize; Cong, Aimin; Wang, Jiuying; Li, Xiaowei; Dong, Hui

doi:10.1109/jsen.2022.3212462

Cited by 5 publications

(2 citation statements)

References 20 publications

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“…Such systems are often found in outlying areas or on islands, where access to the main grid is either difficult or impossible. Renewable energy sources, such as solar and wind, and energy storage technologies are what distinguish islanded power networks unique [3]. The lack of, or difficulty gaining access to, conventional fossil fuel-based generators is a major factor driving this shift toward renewables.…”

Section: Introductionmentioning

confidence: 99%

Seq2Seq-Based-Day-Ahead Scheduling for SCUC in Islanded Power Systems with Limited Intermittent Generation

Nishtar,

Afzal

2024

JESTT

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Due to their dependence on intermittent renewable energy sources, island power systems, which are generally located in remote places or on islands, offer particular issues for day-ahead scheduling. Using the capabilities of neural networks, we offer a Seq2Seq-based technique for day-ahead scheduling, which increases the precision and flexibility of unit commitment choices. The attention mechanisms in the Seq2Seq model are trained with historical data that includes projections for intermittent generation, demand, and unit commitment choices. The model is tested for its capacity to incorporate dynamic temporal relationships and deal with regenerative uncertainty. Seq2Seq models, a kind of deep learning approach, have shown impressive performance in several applications requiring sequence prediction. Uncertainty in renewable energy production, energy demand forecasts, and security limitations are all addressed in this work as Seq2Seq algorithms are applied to microgrid SCUC. In comparison to conventional scheduling approaches, the results show potential gains in prediction accuracy and operational efficiency. This study demonstrates how Seq2Seq models may be used to improve the longevity and dependability of isolated electrical grids and the way for the development of more effective, sustainable, and resilient energy infrastructure by contributing to the advancement of the area of microgrid optimization.

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Section: Introductionmentioning

confidence: 99%

Seq2Seq-Based-Day-Ahead Scheduling for SCUC in Islanded Power Systems with Limited Intermittent Generation

Nishtar,

Afzal

2024

JESTT

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“…However, due to the limited changeable range of the magnetic fluid’s refractive index, the sensor’s detecting range is limited. The second type is sensors based on evanescent fields, which mostly use tapered fibers [ 26 , 27 ], D-shaped fibers [ 28 , 29 , 30 ], and U-shaped fibers [ 31 , 32 ]. The principle of these sensors is to expose the core area of the optical fiber as much as possible by processing it so that the light propagating in the fiber is exposed from the exposed area to form an evanescent field, which interacts with the environment to sense the physical parameters.…”

Section: Introductionmentioning

confidence: 99%

Temperature-Independent Sensor of the Magnetic Field Based on FBG and Terfenol-D

Gao

et al. 2023

Nanomaterials

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Sensors based on Fiber Bragg Grating (FBG) have remarkable benefits like small size, fast response, wide sensing distribution, and immunity to electromagnetic interference, allowing for their widespread application in numerous domains of physical parameter measurement in industrial engineering. In this work, a temperature-independent sensor of the magnetic field based on FBG and the magnetostrictive material Terfenol-D is suggested. By exploiting the distributed sensing characteristic of FBG, a sensing structure that remains unaffected by temperature is designed. The results demonstrate that within the magnetic induction intensity range of 0 mT to 50 mT, the sensitivity of the sensor can reach 7.382 pm/mT, exhibiting good linearity and repeatability. Compared with the control experiment and other sensors of the magnetic field containing Terfenol-D, the sensor has higher sensitivity, better repeatability, and good temperature stability.

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Optical manipulation of magnetic microspheres Enables high-sensitivity Fiber-optic magnetic field sensors

Jiang,

Liu,

Dong

et al. 2025

Measurement

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Magnetic Field Sensor Based on a Fiber Taper Integrated in a Magnetic Polymer Micro-Ellipsoid

Cited by 5 publications

References 20 publications

Seq2Seq-Based-Day-Ahead Scheduling for SCUC in Islanded Power Systems with Limited Intermittent Generation

Seq2Seq-Based-Day-Ahead Scheduling for SCUC in Islanded Power Systems with Limited Intermittent Generation

Temperature-Independent Sensor of the Magnetic Field Based on FBG and Terfenol-D

Optical manipulation of magnetic microspheres Enables high-sensitivity Fiber-optic magnetic field sensors

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