A novel fault section locating method based on distance matching degree in distribution network

Abstract

Fault section location of a single-phase grounding fault is affected by the neutral grounding mode of the system, transition resistance, and the blind zone. A fault section locating method based on an amplitude feature and an intelligent distance algorithm is proposed to eliminate the influence of the above factors. By analyzing and comparing the amplitude characteristics of the zero-sequence current transient components at both ends of the healthy section and the faulty section, a distance algorithm with strong abnormal data immune capability is introduced in this paper. The matching degree of the amplitude characteristics at both ends of the feeder section are used as the criterion and by comparing with the set threshold, the faulty section is effectively determined. Finally, simulations using Matlab/Simulink and PSCAD/EMTDC show that the proposed section locating method can locate the faulty section accurately, and is not affected by grounding mode, grounding resistance, or the blind zone.

A d-axis based current differential protection scheme for an active distribution network

“…The emergence of DGs has changed the power flow and fault current characteristics of the network. On the one hand, DGs cause bi-directional power flow and uncertain magnitude and direction of load current and fault current, while on the other, the output currents of DGs that use solar and wind energy fluctuate [1][2][3]. Because of the above factors, it is difficult to set the threshold value for conventional overcurrent protection, and its protection range, sensitivity and reliability are severely affected.…”

State Analysis of Protection Device Considering Primary Equipment

“…A P (7) (8) If the stationary probability distribution of each state is required, it can be obtained from Formula (9).  PA P (9)…”

“…After comprehensively considering the advantages and disadvantages of existing scholars' research results [6][7][8][9], this paper establishes a state transfer model considering primary equipment and secondary protection. The continuous-time Markov chain is improved by a three-parameter Weibull time-varying failure rate, which can accurately describe the state probability of protection refusal and misoperation.…”

Optimal layout model of feeder automation equipment oriented to the type of fault detection and local action

“…Faults in a power system mainly occur in the distribution network, and these faults can seriously affect customer power consumption perception [1][2][3]. The use of feeder automation technology can reduce the negative impact of faults and improve the satisfaction of electricity consumers [4,5]. The main feature of feeder automation is that when permanent faults causing power outage on a distribution network, then if suitable distribution automation equipment is installed in a suitable location, the equipment can locate the faults from fault current information, and isolate the faults.…”