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A New Approach to the Calculation of Reclosing Time for Adaptive Auto-reclosure

2010 Asia-Pacific Power and Energy Engineering Conference, 2010
Adaptive reclose can remarkably enhance power system reliability. Rapid and accurate calculation of reclosing time proves to be difficult. This paper presents a stochastic calculus approach to this problem, deduces formulae to calculate reclosing time.
openaire   +1 more source

Adaptive Comprehensive Auto-Reclosing Scheme for Shunt Reactor-Compensated Transmission Lines

IEEE Transactions on Power Delivery, 2019
After a tripping of a transmission line, if the fault is transient, faulty arc may be extinguished in three different kind of periods: initial, middle and ending period. Existing adaptive auto-reclosing (AAR) schemes cannot cover all kind of situations, which seriously affects application of those AAR schemes.
Chao Xie, Fengting Li
openaire   +1 more source

High speed adaptive auto reclosing of 765 kV transmission lines

2012 11th International Conference on Environment and Electrical Engineering, 2012
This paper proposes a new adaptive auto reclosing scheme for extra high voltage transmission lines. The performance of an auto reclosing scheme depends not only on power system behavior and transmission lines characteristic but also secondary arc current.
Hassan Abniki, Saeed Nateghi
openaire   +1 more source

Adaptive auto-reclosing based on DER connectivity data with IEC 61850

2014 IEEE PES General Meeting | Conference & Exposition, 2014
Most faults in the overhead distribution networks are temporary in nature. The protection system is therefore designed to open the line in an attempt to clear the fault and then automatically reclose to reconnect the circuit once the fault has cleared.
Dmitry Ishchenko   +3 more
openaire   +1 more source

Design of an online adaptive auto-reclose algorithm for HV transmission lines

2006 IEEE Power India Conference, 2006
This paper proposes an adaptive auto-reclose scheme for high voltage transmission lines. It presents application of wavelet transform in identification of transient and permanent faults by processing the fault generated high frequency voltage transients. It can also be utilised to determine adaptive reclosure time with capturing arc extinction time.
M. Sanaye-Pasand, A. Kadivar
openaire   +1 more source

Intrinsic Time Decomposition Based Adaptive Reclosing Technique for Microgrid System

2020
The conventional reclosing system generally follows the prefixed operating time to close the breaker followed by any transient fault. In a microgrid system with a storage facility, the uninterrupted power supply can be provided with the help of a storage system for a short time period.
Shubham Ghore   +2 more
openaire   +1 more source

A novel adaptive auto-reclosing scheme for transmission lines with shunt reactors

Electric Power Systems Research, 2019
Abstract In this paper, a novel adaptive single-phase auto-reclosing method for high voltage transmission lines with shunt reactors is presented. The proposed method applies a low-pass filter and the cascaded delayed signal cancellation (CDSC) technique to the fault phase voltage in order to reveal different characteristics between transient and ...
Xing Xie, Chun Huang
openaire   +1 more source

Research on adaptive single-pole reclosing technique for EHV/UHV transmission lines

2008 Third International Conference on Electric Utility Deregulation and Restructuring and Power Technologies, 2008
The character of the voltage at the end of the opened phase conductor was studied and an improved voltage criterion was proposed to distinguish between transient and permanent faults. The performance of the improved criterion is hardly influenced by the load currents of healthy phases, transmission line length, fault distance and fault earth resistance.
Yan Xu, Zengping Wang, Haofang Liu
openaire   +1 more source

Development and test of an adaptive single-pole auto-reclose function

15th International Conference on Developments in Power System Protection (DPSP 2020), 2020
C. Gererstorfer, R. Simon, T. Hensler
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