Field experiment using transient energy method to locate a single-phase to ground fault

Xie, Wei; Wang, Xuewen; Fang, Chen; Zhang, Hengxu; Shi, Fang; Xiaodong, Xing; Sun, Baicong

doi:10.1016/j.gloei.2021.01.002

Cited by 4 publications

(2 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…According to the statistical analysis of various faults in actual operation, in the fault of line short circuit, the number of single‐phase grounding faults accounts for about 90% of the total number of all fault types. Moreover, from the analysis of fault recording data, it can be found that a considerable part of phase to phase faults are also evolved from single‐phase grounding faults [13]. If the power line passes through many hills, mountains and other landforms along the way, the single‐phase arc high impedance grounding fault will often occur due to the discharge of the power line to the Moso bamboo and branches in the surrounding environment and the fire in the mountain.…”

Section: Feature Extraction Of Arc High Impedance Grounding Fault Of ...mentioning

confidence: 99%

Feature extraction of arc high impedance grounding fault of low‐voltage distribution lines based on Bayesian network optimisation algorithm

Sun

2023

IET Cyber-Phy Sys Theory & Ap

View full text Add to dashboard Cite

In order to accurately extract the fault features of arc high impedance grounding of low‐voltage distribution lines and judge the fault feature types of arc high impedance grounding of low‐voltage distribution lines, a fault feature extraction method for arc high impedance grounding of low‐voltage distribution lines based on Bayesian network optimisation algorithm is proposed. According to the model of arc high impedance grounding fault based on Thomson’s principle, the parameter information of each transmission signal in arc high impedance grounding fault is extracted. Through the denoising method of arc high impedance grounding signal based on combined filter, the noise information of transmission signal in case of arc high impedance grounding fault is removed and the signal purity is improved. The detection and recognition method for fault characteristics of arc high impedance grounding of low‐voltage distribution lines based on Bayesian network optimisation algorithm is used to detect and judge the fault characteristics of the abnormal characteristics of the denoised transmission signal, and complete the fault feature extraction. After testing, this method can accurately and real‐time extract the fault characteristics of arc high impedance grounding of low‐voltage distribution lines, and has application value.

show abstract

Section: Feature Extraction Of Arc High Impedance Grounding Fault Of ...mentioning

confidence: 99%

Feature extraction of arc high impedance grounding fault of low‐voltage distribution lines based on Bayesian network optimisation algorithm

Sun

2023

IET Cyber-Phy Sys Theory & Ap

View full text Add to dashboard Cite

show abstract

“…The accuracy of those sensors is easily affected by partial discharge, the stability of the output signal is poor, and due to size and power constraints, these sensors are difficult to integrate into fault indicators. As a result of the low reliability of voltage sensing, the accuracy rate of SLG fault identification in DS are greatly limited, which is less than 60% at practice [1][2][3][4][5] .…”

Section: Introductionmentioning

confidence: 99%

Identification Method and Device for Single-Phase-to-Ground Fault Based on Electric Field Variation in Small-Current Grounded Distribution Systems

Song²

2023

Preprint

View full text Add to dashboard Cite

Considering the low identification accuracy of single-phase-to-ground(SLG) fault in distribution systems with the neural point small-current grounded, breaking through the traditional fault identification method based on voltage or current, this paper focuses on mining the features of electric field variation when SLG fault occurs. Firstly, based on the charge simulation method, the electric field at the same height under three-phase distribution lines and that on the line surface during SLG fault are respectively calculated. Accordingly, the variation law of electric field in small-current grounded distribution systems during SLG fault is obtained theoretically, and the corresponding relationship between the variation mode of electric field and the occurrence of SLG fault is established. Besides, MEMS sensor is innovatively adopted for electric field measurement in distribution systems by taking advantage of its small size, low power consumption and high accuracy, and its integration scheme with fault indicator is formed. On this basis, a SLG fault identification method and corresponding devices based on the variation of electric field are proposed, and the effectiveness is verified by experiments.

show abstract

Tracing passive traveling surge-based fault management control scheme in unearthed distribution systems

Elgamasy,

Elezzawy,

Kawady

et al. 2024

Electr Eng

View full text Add to dashboard Cite

In this paper, a novel enhanced centralized fault management technique is proposed for smart unearthed distribution systems based on tracing passive traveling waves. The main objective of the proposed scheme is to efficiently identify the faulted section among multiple short-length sections within the distribution system. This is accomplished by installing synchronized surge detectors at both the lateral panel substations and the ends of branches. The identification process relies on analyzing the amplitudes and time stamps of the first arrival waves of the voltages. The distribution system is divided into zones based on the number of lateral panel substations, and the proposed approach encompasses three essential steps: determining the faulted zone, identifying the faulted path within the determined zone, and precisely pinpointing the faulted section. The faulted zone is determined by comparing the energies of the first arrival waves across all lateral panel substations. To identify the faulted path and section, two criteria and a voting system are proposed. The strength of the proposed scheme lies in its ability to cover all possible fault scenarios at various locations. Extensive tests are conducted using the detailed simulation of the IEEE 33-bus system with the PSCAD program. The mathematical core of the proposed approach is implemented using MATLAB. The results obtained from these simulations confirm the high reliability of the proposed fault management scheme, making it a viable solution for implementation in distribution systems.

show abstract

Field experiment using transient energy method to locate a single-phase to ground fault

Cited by 4 publications

References 18 publications

Feature extraction of arc high impedance grounding fault of low‐voltage distribution lines based on Bayesian network optimisation algorithm

Feature extraction of arc high impedance grounding fault of low‐voltage distribution lines based on Bayesian network optimisation algorithm

Identification Method and Device for Single-Phase-to-Ground Fault Based on Electric Field Variation in Small-Current Grounded Distribution Systems

Tracing passive traveling surge-based fault management control scheme in unearthed distribution systems

Contact Info

Product

Resources

About