Analysis and optimization of energy harvesting characteristics of converter valve magnetic field self-powered harvester

Temperature monitoring of converter valves can aid in fault prediction, and it is one of the key technologies to ensure the safe and stable operation of converter stations. However, there are few suitable solutions to the problem of reliable energy supply. In this paper, an accurate output power cha...

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Bibliographic Details
Main Authors: WANG Wei, SU Wenbo, XU Chenjin, WU Yuwei, SHI Yuchen
Format: Article
Language:zho
Published: Editorial Department of Electric Power Engineering Technology 2025-01-01
Series:电力工程技术
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Online Access:https://www.epet-info.com/dlgcjsen/article/abstract/231211508
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Summary:Temperature monitoring of converter valves can aid in fault prediction, and it is one of the key technologies to ensure the safe and stable operation of converter stations. However, there are few suitable solutions to the problem of reliable energy supply. In this paper, an accurate output power characteristic model based on magnetic field induction energy harvesting is proposed, utilizing a superimposed magnetic flux calculation method. The impact of key core parameters on energy harvesting power is explored step by step, and an optimization method is proposed. To address the space constraints of the converter valve hall, a lightweight design for the magnetic core is proposed. On this basis, the energy harvesting characteristics of the chip-based energy harvesting device under deflection condition, influenced by the application environment, are studied. An optimization analysis method of energy taking power characteristics under the non-optimal position is proposed. The chip-based energy harvesting device designed in this paper can drive the sensor stably across a wide range of current fluctuations and realize long-distance wireless communication. At the same time, it can meet the needs of long-term maintenance-free detection of power equipment in narrow and high temperature space such as converter stations.
ISSN:2096-3203