Comparative Analysis and Optimization of Magnetic Field Energy Harvesters Based on Split Three-Phase Power Line Joint Energy Harvesting

With the rapid development of smart grids, abundant online monitoring sensors are installed at critical nodes of medium and low voltage power lines. To ensure reliable operation of these monitoring sensors, the power source problem needs to be solved urgently. The magnetic field energy can be captured and used as a stable energy source for online monitoring sensors. However, the single-phase magnetic field energy harvester (MFEH) tends to achieve low energy at low currents, and the output power is significantly influenced by load fluctuations. Motivated by these challenges, a three-phase distributed magnetic field energy harvester (TDMFEH) with transforms is proposed in this article. The power multiplier changes of the TDMFEH compared with the single-phase MFEH are further analyzed. Moreover, this article proposes an output power boosting control method under load fluctuations with single-phase and three phase joint energy harvesting, to achieve higher output power with a wide range of load connected. The experimental results demonstrate that the TDMFEH can achieve a maximum power ratio of 2.13 compared to an equal-volume single-phase MFEH. Besides, the output power can be enhanced with the switching between single-phase MFEH and TDMFEH when the load fluctuates.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Industrial Informatics
Published
2025-03-19
DOI
https://doi.org/10.1109/tii.2025.3545077
Citations
2
Primary Topic
Energy Harvesting in Wireless Networks
Type
article
Field-Weighted Citation Impact
1.46
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Comparative Analysis and Optimization of Magnetic Field Energy Harvesters Based on Split Three-Phase Power Line Joint Energy Harvesting

Chenjin Xu, Wenbo Su, Wei Wang, Yuchen Shi et al.
2 citations
IEEE Transactions on Industrial Informatics
Energy Harvesting in Wireless Networks
1.46
article

Comparative Analysis and Optimization of Magnetic Field Energy Harvesters Based on Split Three-Phase Power Line Joint Energy Harvesting

Chenjin Xu, Wenbo Su, Wei Wang, Yuchen Shi, Minqiang Hu
article en
2 citations

Abstract

With the rapid development of smart grids, abundant online monitoring sensors are installed at critical nodes of medium and low voltage power lines. To ensure reliable operation of these monitoring sensors, the power source problem needs to be solved urgently. The magnetic field energy can be captured and used as a stable energy source for online monitoring sensors. However, the single-phase magnetic field energy harvester (MFEH) tends to achieve low energy at low currents, and the output power is significantly influenced by load fluctuations. Motivated by these challenges, a three-phase distributed magnetic field energy harvester (TDMFEH) with transforms is proposed in this article. The power multiplier changes of the TDMFEH compared with the single-phase MFEH are further analyzed. Moreover, this article proposes an output power boosting control method under load fluctuations with single-phase and three phase joint energy harvesting, to achieve higher output power with a wide range of load connected. The experimental results demonstrate that the TDMFEH can achieve a maximum power ratio of 2.13 compared to an equal-volume single-phase MFEH. Besides, the output power can be enhanced with the switching between single-phase MFEH and TDMFEH when the load fluctuates.

IEEE Transactions on Industrial InformaticsVol. 21(6)
Nanjing Normal University (CN)
Affordable and clean energy
Openalex Percentile: Top 19%
Energy Harvesting in Wireless Networks
1.46
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.