Study for spatial magnetic field distribution of inter-turn short-circuit fault degree in dry air-core reactors

Dazhou, Zhou; Mingkai, Xv; Du, Xiuming; Zhaoyuan, Fu; Xiaoping, LV; Qingkui, Kang; Han, Shuhua

doi:10.1109/iciea.2018.8397915

Cited by 3 publications

(5 citation statements)

References 5 publications

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“…The 2D FDTD simulation results presented in section III, section IV-A, and section IV-B were generated using a fairly typical (by today's standards) laptop computer running 64bit Linux [26] operating system on a dual-core CPU [27] and random access memory (RAM) of 24.0 GB. Each 2D FDTD simulation that was run at the fine (coarse) sampling corner in the range of spatial (8) and temporal (9) discretization, generally took minutes (seconds) to estimate the EM fields of the nominal 2D air-core reactor in Table 1; in contrast, without the reduced c modification each FDTD simulation run would have required days to complete.…”

Section: Short Conductormentioning

confidence: 99%

“…For example, the work by [4], [7] relied primarily on experimental measurements of electrical quantities (e.g., voltage, current) in laboratory, validated by simulations of circuit models [4], [7]. The work by [8] performed simulations of equivalent circuit models based on the finite element method (FEM) to study the frequency-domain variations in spatial distribution of magnetic field.…”

Section: Introductionmentioning

confidence: 99%

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A Methodology for Remote Sensing Inter-Turn Fault Events in Power System Air-Core Reactors, via Simulation of Magneto Quasi-Static Fields in 2D FDTD

2020

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We present a numerical methodology to estimate the transient fault currents and to simulate the remote sensing of transient fault information embedded in the magnetic field emissions caused by interturn shorts in 60 Hz air-core reactors, thru a magneto quasi-static (MQS) field approximation in the method of Finite-Difference Time-Domain (FDTD) in 2-dimensional (2D) space. The MQS 2D FDTD fields of reactor in normal operation are scaled by correlation against an equivalent circuit model that is derived from application of basic physics principles to parameters of the 3D air-core reactor. The proposed multi-scale quasi-static modeling methodology, based on the reduced c modification, provides fine-feature access down to the single-wire level and can efficiently estimate the transient fault fields and currents due to turn-to-turn short in a reactor with core height in several meters, core diameter in meters, wire diameter in millimeters, and number of turns in the thousands, at 60 Hz; this is accomplished by using computational resources of a typical laptop computer within seconds or minutes, as opposed to days that would be otherwise required without the reduced c modification.

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Section: Short Conductormentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Methodology for Remote Sensing Inter-Turn Fault Events in Power System Air-Core Reactors, via Simulation of Magneto Quasi-Static Fields in 2D FDTD

2020

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“…The existing monitoring methods for inter-turn short-circuit faults in dry-type aircore reactors mainly include the magnetic field monitoring method [7,8], temperature monitoring method [9,10], vibration monitoring method [11,12], and electrical quantity monitoring method using measured voltage and current.…”

Section: Introductionmentioning

confidence: 99%

“…In detail, an online detection algorithm for turn-to-turn faults in iron core reactors was proposed in [7], utilizing additional sensor coils to measure the leakage magnetic field. A method for detecting ISCFs based on the spatial magnetic field distribution of dry-type aircore reactors was proposed in [8]. This involved establishing functions using a curve-fitting method to assess the degree of fault.…”

Section: Introductionmentioning

confidence: 99%

A Detection Method for Slight Inter-Turn Short-Circuit Fault in Dry-Type Air-Core Shunt Reactors

Wu,

Zhen,

Chang

et al. 2024

Energies

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Dry-type air-core shunt reactors are integral components in power transmission and distribution networks, designed to control reactive power and enhance system stability. However, inter-turn short-circuit faults (ISCFs) are common occurrences in shunt reactors, which are caused by various factors, including manufacturing defects, insulation degradation, or operational stresses. At the early stage of the ISCFs, the current does not reach a sufficient level to activate the protective equipment. These faults may lead to serious consequences, such as overheating, insulation breakdown, and even catastrophic failures, posing risks to the entire power system. Therefore, developing an effective and reliable detection method for ISCFs at the early stage is paramount. In this paper, a new method named the fault detection factor (FDF) based on equivalent resistance is presented to detect the slight ISCFs in dry-type air-core shunt reactors considering insulation resistance. In addition, the effect of noise signal existence in the monitoring process is taken into account. A moving average filter is adopted to guarantee both the sensitivity and the reliability of the proposed method. Ultimately, the simulation results of the FDF under different conditions are presented, which show the effectiveness and potential of the proposed method in observing and monitoring slight ISCFs.

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“…Dry-type Air-core Reactors(DARs) are important power equipment in power system, with the role of compensating reactive power, limiting short circuit current and filtering high harmonic [1][2][3][4][5]. However, once the inter-turn short circuit fault occurs in them, the huge short circuit current will damage the DARs, or even cause fire [6][7][8][9][10]. When the current passes through, there will be a magnetic field around the DARs that changes with the different working state of the DARs, which is called the Space Magnetic Field(SMFD).…”

Section: Introductionmentioning

confidence: 99%

Research on Five-Loop Simplified Scaling Model for Dry-Type Air-Core Reactors With Inter-Turn Short Circuit Fault

Sun

Zou²,

Liu

et al. 2021

IEEE Access

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In order to simplify the research method of the spatial magnetic field distribution (SMFD) of dry air-core reactors (DARs) in the case of inter-turn short circuit fault, the concept of simplified scaling model was put forward, and the optimal simplified scaling model for different inter-turn short circuit fault was calculated by using the least square method. Firstly, in order to simplify the calculation, 7 typical directions describing the SMFD of DARs were determined based on the similarity degree of magnetic induction intensity in each direction. Then, the simplified scaling model parameters corresponding to different short circuit positions and degrees were studied, and the variation rule was described by using the method of fitting function. Finally, the original model and the simplified scaling model of the DARs in the case of inter-turn short circuit were established respectively in the laboratory. The results show that the optimal structure relative height obtained by experiment is 30% and 20% respectively, which is the closest to the parameters obtained by computer simulation, i.e. ,28% and 20.3%.INDEX TERMS Dry-type air-core reactor (DAR), inter-turn short circuit fault, spatial magnetic field distribution (SMFD), five-loop simplified scaling model, optimal structure.

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Study for spatial magnetic field distribution of inter-turn short-circuit fault degree in dry air-core reactors

Cited by 3 publications

References 5 publications

A Methodology for Remote Sensing Inter-Turn Fault Events in Power System Air-Core Reactors, via Simulation of Magneto Quasi-Static Fields in 2D FDTD

A Methodology for Remote Sensing Inter-Turn Fault Events in Power System Air-Core Reactors, via Simulation of Magneto Quasi-Static Fields in 2D FDTD

A Detection Method for Slight Inter-Turn Short-Circuit Fault in Dry-Type Air-Core Shunt Reactors

Research on Five-Loop Simplified Scaling Model for Dry-Type Air-Core Reactors With Inter-Turn Short Circuit Fault

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