• Title/Summary/Keyword: HTc superconductor

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High Speed Operating Test of a 300Wh Flywheel Energy Storage System Using Superconductor Bearings (초전도베어링을 이용한 300 Wh급 플라이휠 에너지저장장치의 고속운전시험)

  • 김영철;최상규;성태현;이준성;한영희
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2001.05a
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    • pp.514-520
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    • 2001
  • A 300Wh class flywheel energy storage system using high Tc superconductor bearings(HTC SFES) is being developed by KIMM and KEPRI. HTC SFES consists of a flywheel rotor, superconductor bearings, a motor/generator and its controller, touch-down bearings, vacuum chamber, etc. Stiffness and damping values of superconductor bearings were experimentally estimated to be 67,700N/m and 29Ns/m respectively. The present HTC SFES was designed to have maximum operating speed of 33000 rpm, which is far above 2 rigid body mode critical speeds of 645rpm and 1,275rpm. Leaf-spring type touch-down bearing were utilized to have the system pass safely through the system critical speeds. It has been experimentally verified that the system can run stably up to 28,000 rpm so that HTC SFES is now expected to reach up to its maximum design speed of 33,000rpm without any difficulties. The Halbach array motor & generator has also been proven its effectiveness on transferring electrical energy to a rotaing composite flywheel in kinetic form.

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Reassessment of SMES Application Studies and Systematic approach Method under Deregulation (전력계통 제어용 초전도에너지 저장장치(SMES)의 검토사례 분석과 전력시장에서의 적용방안)

  • Lee, Geun-Joon;Yoon, Y.B.;Hwang, S.D.
    • Proceedings of the KIEE Conference
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    • 2003.11a
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    • pp.54-56
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    • 2003
  • With the advancement of superconductor materials, especially in HTC YBCO(Gen II), the feasibility of SMES in power systems become much higher than previous days application[1]. Also, with the de-regulation of electricity market, it is indispensable to have a proper estimation of power quality index and power quality cost calcluation mechanism to stabilize highly industrialized society and to vitalize the investment for electric power system. This paper suggests a comprehensive algorithm[2] to determine the policy of SMES investment with the PQ Indices[3] based on aggregated load CBEMA curve reflecting the voltage characteristics such as volatge sags and interruptions which make electric load in unstable operation.

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