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Optimization Design for the Use of Mechanical Switch in Z-source DC Circuit Breaker

Z-source 직류 차단기의 기계식 스위치 적용을 위한 최적화 설계

  • Lee, Hyeon Seung (School of Social Safety System Engineering, Hankyong National University) ;
  • Lee, Kun-A (School of Social Safety System Engineering, Hankyong National University)
  • 이현승 (한경대학교 사회안전시스템공학과) ;
  • 이건아 (한경대학교 사회안전시스템공학과)
  • Received : 2021.10.19
  • Accepted : 2022.01.19
  • Published : 2022.02.28

Abstract

Circuit breakers are a crucial factor in ensuring the safety of a Direct Current (DC) grid. One type of DC circuit breaker, the Z-source DC circuit breaker (ZCB), uses a thyristor, which is a type of semiconductor switch. In the event of a fault in the circuit, the ZCB isolates the fault by generating a zero crossing current in the thyristor. The thyristor quickly and actively isolates the fault while generating a zero crossing current, but thyristor switch cannot control turn-off and the allowable current is lower than the current of the mechanical switch. Therefore, it is best to use a mechanical switch with a high allowable current capacity that is capable of on/off control. Due to the slow reaction time of mechanical switches, they may not isolate the fault during the zero crossing current time interval created by the existing circuit. In this case, the zero crossing current time can be increased by using the property that hinders the rapid change in the current of the inductor. This paper will explore whether adding system inductance to increase the zero crossing current time interval is a solution to this problem. The simulation of changing inductor and capacitor (LC) of the circuit is repeated to find an optimal change in the zero crossing current time according to the LC change and provides an inductor and capacitor range optimized for a specific load. The inductor and capacitor range are expected to provide optimization information in the form LC values for future applications of ZCB's using a mechanical switch.

Keywords

Acknowledgement

This research was supported by Hankyong National University Development Project Research Fund, 2021.

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