Chenjin Xu;Wei Wang;Yuchen Shi;Wenbo Su;Minqiang Hu
{"title":"Comparative Analysis and Optimization of Magnetic Field Energy Harvesters Based on Split Three-Phase Power Line Joint Energy Harvesting","authors":"Chenjin Xu;Wei Wang;Yuchen Shi;Wenbo Su;Minqiang Hu","doi":"10.1109/TII.2025.3545077","DOIUrl":null,"url":null,"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.","PeriodicalId":13301,"journal":{"name":"IEEE Transactions on Industrial Informatics","volume":"21 6","pages":"4617-4627"},"PeriodicalIF":9.9000,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Industrial Informatics","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10933578/","RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
引用次数: 0
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.
期刊介绍:
The IEEE Transactions on Industrial Informatics is a multidisciplinary journal dedicated to publishing technical papers that connect theory with practical applications of informatics in industrial settings. It focuses on the utilization of information in intelligent, distributed, and agile industrial automation and control systems. The scope includes topics such as knowledge-based and AI-enhanced automation, intelligent computer control systems, flexible and collaborative manufacturing, industrial informatics in software-defined vehicles and robotics, computer vision, industrial cyber-physical and industrial IoT systems, real-time and networked embedded systems, security in industrial processes, industrial communications, systems interoperability, and human-machine interaction.