Fast and Reliable Method for Identifying Fault Type and Faulted Phases Using Band Limited Transient Currents

Wijekoon, Jagannath; Rajapakse, Athula D.; Haleem, Naushath M.

doi:10.1109/tpwrd.2020.3027793

Cited by 22 publications

(15 citation statements)

References 22 publications

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“…For this reason, researchers have proposed improved fault localization methods, including improved physical characterization and intelligent algorithms, as shown in Table 1. Regarding improving physical characterization, reference [15] proposed a fault localization method for an active distribution network based on band-limited transient currents that only requires current measurements to achieve fast and accurate fault location. Reference [16] improved the impedance method, which has high accuracy and robustness and can withstand inevitable load fluctuations.…”

Section: Current Statu Of Researchmentioning

confidence: 99%

“…Methods [14] Active Distribution Network Physical Characterization Methods [15][16][17][18][19][20][21] Setting the threshold value relies on simulation or experience, the adjustment process is complicated with the increased penetration of distributed generators, and the sensitivity is lacking.…”

Section: Artificial Intelligencementioning

confidence: 99%

“…From Equation (15), it can be seen that the measurement of the current phase angle difference is only related to its current phase angle difference. The measurement of the current phase angle difference of the fault section is larger than that of a non-fault section, so the measurement of the current phase angle difference can also reflect the location of the single-phase short circuit fault in the active distribution network.…”

Section: Measurement Of Current Phase Angle Differencementioning

confidence: 99%

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A Section Location Method of Single-Phase Short-Circuit Faults for Distribution Networks Containing Distributed Generators Based on Fusion Fault Confidence of Short-Circuit Current Vectors

Xu,

Ouyang,

Chen

et al. 2024

Electronics

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To ensure safe and stable operation, accurate fault localization within active distribution networks is required, and this has attracted much attention. Influenced by many factors such as the control strategy, control performance, initial state of the distributed generators, and distribution network topology, it is still difficult to reliably locate complex and variable single-phase short-circuit faults relying only on a single feature quantity, while localization methods incorporating intelligent algorithms are affected by the choice of a priori samples and the fact that the solution process is a black-box model. To address this challenge, in this work, an expression for the single-phase short-circuit current vector of a distribution network containing distributed generators is derived, and the differences in magnitude and phase angle of the short-circuit current vectors upstream and downstream of the fault point are analyzed. Based on measurement theory, a fault confidence distribution function that reacts to the relative size of the current magnitude difference and phase angle difference is established, and the fusion fault confidence of the short-circuit current vector is constructed with the help of evidence theory. Finally, a method of locating single-phase short-circuit faults in distribution networks that contain distributed generators is proposed. The simulation results show that the ratio of the fusion fault confidence of the short-circuit current vector between faulted and non-faulted sections under the influence of different distributed generator capacities, fault locations, and transition resistances differ significantly. The proposed single-phase short-circuit fault localization method is both adaptive and physically interpretable and has clear boundaries, sound sensitivity, and engineering practicability.

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Section: Current Statu Of Researchmentioning

confidence: 99%

Section: Artificial Intelligencementioning

confidence: 99%

Section: Measurement Of Current Phase Angle Differencementioning

confidence: 99%

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A Section Location Method of Single-Phase Short-Circuit Faults for Distribution Networks Containing Distributed Generators Based on Fusion Fault Confidence of Short-Circuit Current Vectors

Xu,

Ouyang,

Chen

et al. 2024

Electronics

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“…Furthermore, in the existing research on insulation parameter measurement of distribution networks, most scholars default the line parameters as symmetric [20][21][22]. Research on fault detection requires a rigorous and meticulous approach.…”

Section: Introductionmentioning

confidence: 99%

Single-Phase Grounding Fault Identification Based on Transition Conductance Tracking Method

Fang

Cai

et al. 2022

Mathematical Problems in Engineering

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The instability of single-phase grounding faults makes it difficult to track the fault development process accurately. In this paper, a transition conductance tracking method for single-phase grounding fault identification is established to perceive the health state of the distribution network. To solve the situation that the insulation parameters of the neutral ungrounded system are difficult to obtain, a phase-shift method is proposed to measure the insulation parameters accurately. Based on the measurement results of insulation parameters, a transition conductance tracking model is constructed to monitor the changes of transition conductance in real time. Since the transition conductance varies steadily, it can be used as an important parameter to evaluate the development of a single-phase grounding fault. The innovative tracking method is verified by the simulation model, and the error analysis shows that the tracking error of transition conductance is less than 9%. The simulation results demonstrate that the proposed method can track the development of grounding faults effectively and give a quick warning to the operator. The fault identification theory adopted in this paper is not limited by the neutral grounding mode and especially can be applied to situations where the neutral point parameters are not adjusted.

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“…Wijekoon et al [21] used current transients for faulted phase selection in a double circuit line. The same authors developed a transformation matrix to transform the instantaneous three-phase currents and extracted seven current components to identify the faulted phases [22]. Methods proposed in [20]- [22] are dependent on transient currents and can fail during faults with near-zero inception angles and are not validated for special fault scenarios like evolving and cross country faults.…”

mentioning

confidence: 99%

Distance Protection Methodology for Detection of Faulted Phase and Fault Along With Power Swing Using Apparent Impedance

Arumuga

Reddy

2022

IEEE Access

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Fast and Reliable Method for Identifying Fault Type and Faulted Phases Using Band Limited Transient Currents

Cited by 22 publications

References 22 publications

A Section Location Method of Single-Phase Short-Circuit Faults for Distribution Networks Containing Distributed Generators Based on Fusion Fault Confidence of Short-Circuit Current Vectors

A Section Location Method of Single-Phase Short-Circuit Faults for Distribution Networks Containing Distributed Generators Based on Fusion Fault Confidence of Short-Circuit Current Vectors

Single-Phase Grounding Fault Identification Based on Transition Conductance Tracking Method

Distance Protection Methodology for Detection of Faulted Phase and Fault Along With Power Swing Using Apparent Impedance

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