Fault line selection using multiple disturbance characteristics of fault phase active grounding in resonant grounded distribution networks

Zhang, Zhihua; Liu, Jian; Shao, Wenquan; Wang, Yizhao

doi:10.1016/j.ijepes.2021.107931

Cited by 13 publications

(6 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…3 ⃝ The first grounding is an intermittent arc grounding, and the second is a continuous stable grounding. 4 ⃝ The first grounding is a continuously stable grounding, and the second is an intermittent arc-light grounding. Among them, the intermittent arc grounding parameters are shown in Figure 13 and Table 2 [36].…”

Section: Simulation Testingmentioning

confidence: 99%

See 1 more Smart Citation

A Novel Method for Line Selection for Cross-Line Two-Point Successive Grounding Faults Utilizing Transient and Steady-State Information

Wang,

Liu,

Zhang

et al. 2024

Energies

Self Cite

View full text Add to dashboard Cite

In order to improve the performance of an arc suppression coil grounding system in handling cross-line two-point successive grounding faults (CTSGs), the applicability of the transient quantity method and the steady-state quantity method for assessing CTSGs is analyzed. Then, a novel method for line selection for CTSGs was proposed, which comprehensively utilizes transient and steady-state information. Specifically, this method adopts a continuous line selection process, with priority given to the transient quantity method, and a supplementary line selection process, with priority given to the steady-state quantity method. After accurately selecting some faulty lines, such lines are tripped, and then, the process proceeds with continuous line selection again. When the number of cycles exceeds the set value, and the fault line cannot be completely cut off, they are tripped one by one according to the degree to which they are approaching the steady-state method criterion, from large to small. Furthermore, in response to the dramatic increase in computing volume that is caused by the continuous application of the transient method in on-site applications and the impact of current transformer accuracy on the steady-state method, this paper proposes corresponding solutions. PSCAD simulation, full-scale tests, and field recording data tests verify that this paper’s method can accurately detect a CTSG.

show abstract

Section: Simulation Testingmentioning

confidence: 99%

“…Ref. [4] identifies faulty lines based on the voltage and current variations under multiple disturbances. Ref.…”

Section: Introductionmentioning

confidence: 99%

A Novel Method for Line Selection for Cross-Line Two-Point Successive Grounding Faults Utilizing Transient and Steady-State Information

Wang,

Liu,

Zhang

et al. 2024

Energies

Self Cite

View full text Add to dashboard Cite

show abstract

“…More seriously, when the system operates in such a fault state, shock accident or casualties might happen [6,7], which represents a serious public safety hazard. Specifically, when a single-phase-to-ground fault occurs in non-effectively grounded system, it is difficult to be detected due to unobvious characteristics of fault current [8].…”

Section: Introductionmentioning

confidence: 99%

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

ZHANG,

GUAN,

2024

Preprint

View full text Add to dashboard Cite

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.

show abstract

“…Faulty line selection based on steady‐state information has a lower correct rate. Compared with the steady‐state signal, the transient signal is not affected by the neutral grounding mode and arc features [11]. However, the transient signal can present randomness, locality, and non‐stationary.…”

Section: Introductionmentioning

confidence: 99%

A visual faulty feeder detection method for power distribution network based on spatial image generation and deep learning

Guo,

Shi

2023

IET Generation Trans & Dist

View full text Add to dashboard Cite

In the case of a single‐phase grounding fault in the distribution network, the transient zero‐sequence current (TZSC) tends to be non‐linear and non‐stationary. The faulty line selection is relatively difficult. The distributed power access further brings many difficulties to faulty line selection. This work proposes a novel method of faulty line selection using spatial image generation and deep learning. At first, the optimal smooth denoising model can be used to smooth the zero‐sequence current for each line, reducing the external environment electromagnetic interference. Then, the treated zero‐sequence current is mapped into the colorful floral hoop image by using symmetrized Hilbert transform pattern (SHTP). The SHTP transforms the one‐dimensional time domain signal into the two‐dimensional space domain image, enhancing invisible information and obtaining more abundant feature information. Finally, the deep features of the SHTP floral hoop image are extracted by means of deep learning method. In order to improve the faulty line selection universality, a mixed sample library containing three different topologies is established, including the 10 kV radial distribution network, IEEE‐13 node model, IEEE‐34 node model and StarSim platform. The comparisons show that the proposed method has a more noticeable visualization effect on fault features, higher classification precision rate, and better anti‐noise performance.

show abstract

Fault line selection using multiple disturbance characteristics of fault phase active grounding in resonant grounded distribution networks

Cited by 13 publications

References 17 publications

A Novel Method for Line Selection for Cross-Line Two-Point Successive Grounding Faults Utilizing Transient and Steady-State Information

A Novel Method for Line Selection for Cross-Line Two-Point Successive Grounding Faults Utilizing Transient and Steady-State Information

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

A visual faulty feeder detection method for power distribution network based on spatial image generation and deep learning

Contact Info

Product

Resources

About