Single phase to ground fault location method of overhead line based on magnetic field detection and multi-criteria fusion

Wang, Xiaowei; Du, Huan; Liang, Zhenfeng; Guo, Liang; Gao, Jie; Kheshti, Mostafa; Liu, Weibo

doi:10.1016/j.ijepes.2022.108699

Cited by 16 publications

(7 citation statements)

References 32 publications

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“…In (3), "∏" represents the logical "or" operation; K s1 and K s2 represent the power switching coefficient, indicating whether the power supply in the upstream and downstream areas of switch j is connected to the distribution network. C j,s1 represents the status of the feeder section included in the path from the switch j to the upstream area power supply S 1 , and C j,s2 represents the status value of the feeder section included in the path from the switch j to the downstream area power supply S 2 .…”

Section: Switching Functionmentioning

confidence: 99%

“…Distribution network is an important link between power transmission systems and users 1,2 . Different from transmission network, distribution network is radial, has a large number of branches and usually leads to failure due to adverse weather conditions, bird contacts and human actions 3,4,5 . Therefore, many researchers have been committed to developing efficient fault location methods to provide effective guidance for maintainers 6,7 .…”

Section: Introductionmentioning

confidence: 99%

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Fault Location of Distribution Network Based on the Quantum Ant Colony Algorithm

Wang

et al. 2023

Preprint

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With the continuous expansion of the distribution network and the access of distributed generation, the problem of distribution networks with distributed generation (DG) fault location has become complex and difficult to solve. In order to locate faults accurately and quickly, in this paper, the quantum ant algorithm is applied to solve this problem for the first time. Firstly, we establish a reasonable mathematical model. To greatly avoid the adverse effects of information loss, we propose an information self-correction method. Secondly, a hierarchical positioning model is proposed to shorten the positioning time. Then considering the requirements of quickness and accuracy for fault location, the algorithm is improved. We update the quantum rotation gate mechanism and dynamically adjust the rotation angle. In addition, we add the mutation mechanism to expand the population diversity. Finally, the effectiveness and performance of the improved quantum ant colony algorithm are reflected by comparing with other algorithms. Simulation results demonstrate that the improved quantum ant colony algorithm has substantial global optimization ability, high fault location accuracy and fault tolerance in different cases, and the hierarchical positioning model can shorten the algorithm location time.

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Section: Switching Functionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Fault Location of Distribution Network Based on the Quantum Ant Colony Algorithm

Wang

et al. 2023

Preprint

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“…For economic operation considerations, the non-effectively grounded neutral points have been adopted in the medium-voltage (MV) distribution network design in China [1]. With widespread application of such system in the grid, fault line identification and fault point location have great significance for maintaining power system reliability and ensuring network equipment safety [2,3]. Single-phase-to-ground fault is the most common fault in distribution system.…”

Section: Introductionmentioning

confidence: 99%

A Transient Voltage-based Approach for Mid-voltage Fault Detection through Low-voltage Sensors

ZHANG,

GUAN,

2024

Preprint

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Single-phase-to-ground fault in non-effectively grounded systems poses serious public safety concern. Along with increasing deployment of low-voltage (LV) sensors, new opportunities and ways are created for solving this traditional problem in distribution systems. A new approach, identifying primary single-phase-to-ground line fault and locating it through measurement data from smart sensors deployed in the secondary side of distribution transformers, is proposed in this paper. When a fault occurs in primary distribution feeder, the transient aerial mode voltage (AMV) of each LV smart sensor is calculated. The fault line can be identified by an abrupt change value of AMV at LV side. Next, by finding the position of the maximum value of this AMV from LV sensors on the fault line, the fault location can be pinpointed to two neighboring distribution transformers. The proposed method has been proven to be efficient and reliable by simulation studies.

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“…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

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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.

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Single phase to ground fault location method of overhead line based on magnetic field detection and multi-criteria fusion

Cited by 16 publications

References 32 publications

Fault Location of Distribution Network Based on the Quantum Ant Colony Algorithm

Fault Location of Distribution Network Based on the Quantum Ant Colony Algorithm

A Transient Voltage-based Approach for Mid-voltage Fault Detection through Low-voltage Sensors

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

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