Fault location of three-core power distribution cables based on lump-parameter model considering conductor couplings

Peng, Nan; Zhang, Peng; Liang, Rui; Guo, Zhenhua; Hu, Yihua; Li, Wei; Sheng, Yijun

doi:10.1016/j.ijepes.2021.106953

Cited by 7 publications

(7 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The methods proposed in References [19][20][21][22][23][24] do not require the identification of the traveling wave head, and their measurement time scales are large enough. Therefore, we classify this method as a failure analysis method.…”

Section: Status Of the Studymentioning

confidence: 99%

Application of a Centroid Frequency-Based Back Propagation Neural Network Fault Location Method for a Distribution Network Considering Renewable Energy Assessment

Zhao,

Lu,

Chen

et al. 2024

Electronics

View full text Add to dashboard Cite

The distribution network is a crucial component of the power system as it directly connects to users and serves the purpose of distributing power and balancing the load. With the integration of new energy sources through distributed generation (DG), the distribution network has undergone a transformation from a single power radial network into a complex multi-source network. Consequently, traditional fault location methods have proven inadequate in this new network structure. Therefore, the focus of this paper is to investigate fault location techniques specifically tailored for DG integration into distribution networks. This paper analyzes how fault conditions impact the characteristics of single-phase grounding faults and extracts spectral feature quantities to describe differences in zero-sequence currents under various fault distances. This paper also proposes a fault location method based on centroid frequency and a BPNN (back propagation neural network). The method uses centroid frequency to describe the features of zero-sequence currents; to simulate the mapping relationship between fault conditions and spectral features, BPNN is employed. The mapping relationship differs for different lines and distribution networks. When a line faults, the spectral features are calculated, along with the transition resistance and fault closing angle. The corresponding mapping relationship is then called upon to complete distance measurements. This location method can be applied to various types of distribution lines and fault conditions with high accuracy. Even with insufficient training samples, sample expansion can ensure accuracy in fault distance measurement. We built a distribution network consisting of four feeders with different types and lengths of each line on Simulink and verified the effectiveness of the proposed method by setting different fault conditions. The results suggest that the method has a clear advantage over other frequency domain-based approaches, especially for hybrid lines and feeder lines with branches in distribution networks. Additionally, the method achieves a measurement accuracy within a range of 100 m.

show abstract

Section: Status Of the Studymentioning

confidence: 99%

Application of a Centroid Frequency-Based Back Propagation Neural Network Fault Location Method for a Distribution Network Considering Renewable Energy Assessment

Zhao,

Lu,

Chen

et al. 2024

Electronics

View full text Add to dashboard Cite

show abstract

“…In ref. [17], determination of the fault phase and calculation of the fault resistance based on the voltage and current vectors at both ends of the three‐core cable, thus the fault location of the cable is realised. However, the three‐core cable model in the literature adopts the lumped parameter model, ignoring the frequency‐varying effect of distributed parameters.…”

Section: Introductionmentioning

confidence: 99%

“…However, considering the limitation of actual measurement, this method further ignores the three‐phase shielding layer of cable, simplifies the seven‐conductor cable model to four‐conductor cable model, and a three‐core cable defect type identification method has not been studied in refs. [17, 18].…”

Section: Introductionmentioning

confidence: 99%

“…There is strong coupling between each conductor, which is not conducive to cable defect and fault identification. In recent years, some scholars have proposed to use the voltage and current vectors at both ends of three-core cable to realise the fault location of three-core cable [17,18]. Because it does not need high sampling frequency and strict synchronisation of the two vectors when collecting voltage and current vectors, and this method is not affected by fault conditions, it provides a new research direction for the fault location method of three-core cable.…”

Section: Introductionmentioning

confidence: 99%

“…However, considering the limitation of actual measurement, this method further ignores the threephase shielding layer of cable, simplifies the seven-conductor cable model to four-conductor cable model, and a three-core cable defect type identification method has not been studied in refs. [17,18]. In this paper, we propose a mathematical method for local defect and fault type identification of 10 kV three-core armoured cables based on input impedance spectrum in distribution networks.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A mathematical method for local defects and faults identification of 10 kV three‐core cable based on input impedance spectrum

Wang

Zhang

Yao

et al. 2022

IET Science Measure & Tech

View full text Add to dashboard Cite

Due to the strong coupling among the conductors of 10 kV three-core armored cables and the difficulty in identifying its defects and fault types, a method is proposed based on the input impedance spectrum. Firstly, the phase mode transformation matrix of a three-core cable is obtained by combining the multi-conductor transmission line theory with the loop analysis method to realize decoupling between conductors. Secondly, the input impedance matrices of a cable under different situations are derived. Based on this, a method is proposed to identify the local defects and fault types. The capacitive defects and inductive defects are identified according to the left or right offset of the amplitude spectrum; the short circuit and break faults of the cable can be identified according to the number of resonant points in the amplitude spectrum and the initial phase angle of the phase spectrum. Finally, to verify the correctness of the proposed method, a 10 kV three-core cable is taken as an example to carry out PSCAD circuit simulation and practical test. The results show that the proposed method can effectively identify the local defects and fault types of the three-core cable.

show abstract

Improved thermal analysis for three-core cable under unbalanced three-phase loads

Liu

et al. 2023

Electric Power Systems Research

View full text Add to dashboard Cite

Fault location of three-core power distribution cables based on lump-parameter model considering conductor couplings

Cited by 7 publications

References 22 publications

Application of a Centroid Frequency-Based Back Propagation Neural Network Fault Location Method for a Distribution Network Considering Renewable Energy Assessment

Application of a Centroid Frequency-Based Back Propagation Neural Network Fault Location Method for a Distribution Network Considering Renewable Energy Assessment

A mathematical method for local defects and faults identification of 10 kV three‐core cable based on input impedance spectrum

Improved thermal analysis for three-core cable under unbalanced three-phase loads

Contact Info

Product

Resources

About