Optimization design of toroidal core for magnetic energy harvesting near power line by considering saturation effect
Source abstract
Abstract
Recently, magnetic energy harvesting technologies have been studied actively for self-sustainable operation of applications around power line. However, magnetic energy harvesting around power lines has the problem of magnetic saturation, which can cause power performance degradation of the harvester. In this paper, optimal design of a toroidal core for magnetic energy harvesters has been proposed with consideration of magnetic saturation near power lines. Using Permeability-H curve and Ampere’s circuital law, the optimum dimensional parameters needed to generate induced voltage were analyzed via calculation and simulation. To reflect a real environment, we consider the nonlinear characteristic of the magnetic core material and supply current through a 3-phase distribution panel used in the industry. The effectiveness of the proposed design methodology is verified by experiments in a power distribution panel and takes 60.9 V from power line current of 60 A at 60 Hz.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Innovative Energy Harvesting Technologies · Energy Harvesting in Wireless Networks · Power Line Inspection Robots
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
CCS Graduate School for Green Transportation, Korea Advanced Institute of Science and Technology 1 , Daejeon 305-701, Republic of Korea
Ferrarispower 2 , Seongnam 463-400, Republic of Korea
Department of Electronic Engineering, The University of Suwon 3 , Hwaseong 445-743, Republic of Korea
Funding
Ministry of Science, ICT and Future Planning · National Research Foundation of Korea
References (19)
Show source-provided references
1. See https://www.therobotreport.com for overhead-transmission-line-inspection-robots, 30 January 2014.
2. IEEE Transactions on Dielectrics and Electrical Insulation · 2014 · 21 · 136010.1109/tdei.2014.6832284 ↗
3. IEEE Sensors Journal · 2013 · 13 · 226310.1109/jsen.2013.2251625 ↗
4. MDPI Sensors · 2012 · 12 · 1552010.3390/s121115520 ↗
5. Journal of Field Robotics · 2009 · 26 · 47710.1002/rob.20295 ↗
6. 2005 · 457
7. Journal of Field Robotics · 2009 · 26 · 47710.1002/rob.20295 ↗
8. IET Generation, Transmission & Distribution · 2013 · 7 · 10110.1049/iet-gtd.2012.0152 ↗
9. IEEE Sensors Journal · 2010 · 10 · 124910.1109/jsen.2010.2040173 ↗
10. AIP Review of Scientific Instruments · 2016 · 87 · 07511910.1063/1.4959556 ↗
11. MDPI Energies · 2016 · 9 · 24210.3390/en9040242 ↗
12. IEEE Transactions on Energy Conversion · 2013 · 28 · 92110.1109/tec.2013.2281075 ↗
13. IEEE Transactions on Power Electronics · 2015 · 30 · 619110.1109/tpel.2015.2436702 ↗
14. IEEE Transactions on Power Electronics · 2017 · 32 · 536510.1109/tpel.2016.2610323 ↗
15. IEEE Transactions on Smart Grid · 2012 · 3 · 24110.1109/tsg.2011.2166280 ↗
16. IEEE Transactions on Power Electronics · 2015 · 30 · 430210.1109/tpel.2014.2357448 ↗
17. IEEE Transactions on Power Electronics · 2016 · 31 · 27010.1109/tpel.2015.2401336 ↗
18. IEEE Transactions on Industrial Electronics · 2016 · 63 · 4947
19. 1993 · 204