• 제목/요약/키워드: Superconducting flux pump

검색결과 14건 처리시간 0.017초

Test and simulation of High-Tc superconducting power charging system for solar energy application

  • Jeon, Haeryong;Park, Young Gun;Lee, Jeyull;Yoon, Yong Soo;Chung, Yoon Do;Ko, Tae Kuk
    • 한국초전도ㆍ저온공학회논문지
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    • 제17권3호
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    • pp.18-22
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    • 2015
  • This paper deals with high-Tc superconducting (HTS) power charging system with GdBCO magnet, photo-voltaic (PV) controller, and solar panels to charge solar energy. When combining the HTS magnet and the solar energy charging system, additional power source is not required therefore it is possible to obtain high power efficiency. Since there is no resistance in superconducting magnet carrying DC transport current the energy losses caused by joule heating can be reduced. In this paper, the charging characteristics of HTS power charging system was simulated by using PSIM. The charging current of HTS superconducting power charging system is measured and compared with the simulation results. Using the simulation of HTS power charging system, it can be applied to the solar energy applications.

Performance analysis of a 746 W HTS generator equipped with 70 A class contactless superconducting field exciter

  • Chae, Yoon Seok;Kim, Ho Min
    • 한국초전도ㆍ저온공학회논문지
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    • 제22권3호
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    • pp.1-6
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    • 2020
  • This paper presents the analysis results on the electrical output performance characteristics of a 746 W high temperature superconducting generator (HTSG). The HTS field winding is charged by non-contact excitation method, i.e., contactless superconducting field exciter (CSFE) which is originated by rotary flux pump based on permanent magnet. In this paper, the preliminary current charging test was carried out using a 70 A CSFE to evaluate the performance of field exciter and analyze its non-contact excitation characteristics for the full-scale HTS field winding of the 746 W HTSG. First, the various contactless current-charging tests were conducted using assembly with HTS field winding and CSFE. Then, in order to estimate the output power performance characteristics of the 746 W HTSG, finite element analysis was conducted based on field excitation information which is experimentally measured under various operating conditions. Finally, the electrical output characteristics in no-load and load models were simulated by two-dimensional transient solver in ANSYS electromagnetics 19.0 release.

Characteristics of joint resistance with different kinds of HTS tapes for heater trigger switch

  • Lee, Jeyull;Park, Young Gun;Lee, Woo Seung;Jo, Hyun Chul;Yoon, Yong Soo;Ko, Tae Kuk
    • 한국초전도ㆍ저온공학회논문지
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    • 제16권1호
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    • pp.32-35
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    • 2014
  • Recently, many researches on the system of superconducting power supply and superconducting magnetic energy storage (SMES) using high temperature superconducting (HTS) tapes has been progressed. Those kinds of superconducting devices use the heater trigger switches that have a control delay problem at moments of heating up and cooling down. One way to reduce the time delay is using a different HTS tape at trigger part. For example, HTS tape having lower critical temperature can reduce time delay of heating up and heating down stage for heater trigger operation. This paper deals with resistances joint with different kinds of HTS tapes which have different properties to verify usefulness of the suggested method. Three kinds of commercial HTS tapes with different specifications are selected as samples and two kinds of solders are used for comparison. Joint is performed with temperature and pressure controllable joint machine and the joint characteristics are analyzed under the repeatable conditions.

RBF 뉴럴네트워크를 이용한 리니어형 초전도 전원장치의 비선형적 충전전류특성 해석 (Nonlinear Characteristic Analysis of Charging Current for Linear Type Magnetic Flux Pump Using RBFNN)

  • 정윤도;박호성;김현기;오성권
    • 한국지능시스템학회논문지
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    • 제20권1호
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    • pp.140-145
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    • 2010
  • 본 연구에서는 초전도 전원장치의 비선형적인 충전특성을 이론적으로 해석하기 위해서 Radial Basis Function 뉴럴 네트워크를 적용하였으며 이를 바탕으로 초전도 부하 마그넷에 따른 충전특성의 경향을 해석하였다. 본 논문에서는 안정적인 충전전류를 발생시키고 충전전류를 쉽게 제어할 수 있는 리니어형 초전도 전원장치를 개발하였고, 극저온 시스템에서 충전전류 특성을 실험적으로 수행하였다. 이를 통해 초전도 전원장치는 초전도 선재(초전도 Nb 박막)를 사용하기 때문에 비선형적인 충전전류 특성을 가짐을 알 수 있었다. 일반적으로, 극저온에서의 실질적인 실험에 있어서 주변 환경에 따른 냉각 비용 문제 등이 대두되기 때문에 다양한 실험을 수행하는데 연구의 어려움이 있다. 따라서 본 논문에서는 개발된 초전도 전원장치의 주파수에 대한 비선형적인 충전 특성을 기반으로 지능형 알고리즘인 RBF 뉴럴 네트워크를 통해서 그 결과를 예측하고 이에 대해서 지능 모델을 구현하였다. 본 논문에서 사용된 RBF 뉴럴 네트워크에서는 효율적인 데이터 처리를 위해서 은닉층에 FCM 클러스터링 알고리즘을 사용하였으며, 클러스터의 수가 모델의 은닉층에서의 노드의 수가 되도록 설계하였다.