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author:

Miao, X. (Miao, X..) [1] | Li, B. (Li, B..) [2] | Wu, X. (Wu, X..) [3] | Bao, G. (Bao, G..) [4] | Wu, S. (Wu, S..) [5]

Indexed by:

Scopus PKU CSCD

Abstract:

A fault current limiting technology based on early short circuit detection is proposed to improve the performance of FCL (Fault Current Limiter) for mid-voltage system. A fault simulation model of mid-voltage power distribution system is built and the Mallat multi-scale wavelet transform is applied to realize the early short circuit detection. Its effectiveness is verified by taking the mid-voltage dynamic simulation system as the object. With the series resonant FCL as an example, the short circuit current limiting effect is compared between the conventional and the proposed short circuit detection methods. With the breaking severity of circuit breaker as an indicator, the influence of early short circuit detection on the breaking capability is analyzed and the simulative results show its better breaking performance. ©, 2014, Electric Power Automation Equipment Press. All right reserved.

Keyword:

Breaking severity; Early detection; Electric power distribution; Fault current limiter; Fault detection; Mid-voltage system; Short circuit currents; Wavelet transforms

Community:

  • [ 1 ] [Miao, X.]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, 350108, China
  • [ 2 ] [Li, B.]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, 350108, China
  • [ 3 ] [Wu, X.]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, 350108, China
  • [ 4 ] [Bao, G.]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, 350108, China
  • [ 5 ] [Wu, S.]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, 350108, China

Reprint 's Address:

  • [Miao, X.]College of Electrical Engineering and Automation, Fuzhou UniversityChina

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Source :

Electric Power Automation Equipment

ISSN: 1006-6047

Year: 2014

Issue: 11

Volume: 34

Page: 75-81

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 5

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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