Heuristic Method for Fault Location in Distribution Feeders With the Presence of Distributed Generation

Manassero, Giovanni; Santo, Silvio Giuseppe Di; Souto, Laiz

doi:10.1109/tsg.2016.2598487

Cited by 34 publications

(11 citation statements)

References 26 publications

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“…Such effect is eliminated in positive sequence measurements since it appears in negative sequence measurements. This was also confirmed in [11, 20–22]. Second, the power is used instead of voltage or currents to avoid their failure in detection of weak faults.…”

Section: Proposed Algorithmmentioning

confidence: 67%

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Integrated fault detection algorithm for transmission, distribution, and microgrid networks

Ebrahim

Wadie

Abdallah

2019

IET Energy Systems Integration

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As a part of the vision of the future's smart grids, this article intends to provide an integrated protective algorithm that employs a specially driven index for the detection of faults in different layers of the grid (transmission, distribution, and/or microgrids). The proposed algorithm evaluates the difference between the positive sequence powers measured by phasor measurement units (PMUs) located at the terminals of the line/feeder/zone required to be protected. An index named as a periodic change of positive sequence power index (PC-PSPI) is evaluated as the periodic change of the previous power difference per one cycle. The PC-PSPI is always zero during no-fault conditions as the power difference per one cycle is relatively constant during normal daily operations. However, the previous condition is disrupted during the presence of faults leading to fault detection. To ensure the proper functionality of PC-PSPI for different layers of the grid, various testing systems were used including the WSCC 9-bus transmission system, IEEE 34-bus distribution system, and a modified microgrid version of the IEEE 34-bus equipped with distributed generation (DG) units. All systems were simulated using MATLAB/Simulink software packages. The proposed algorithm proved its reliability in operation even for severe fault and islanding cases.

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Section: Proposed Algorithmmentioning

confidence: 67%

“…However, these solutions suffered from maloperations that were avoided by using communication assisted schemes as in [18,19]. Synchrophasor measurements proved to be more reliable in fault detection and were later used in [20][21][22]. The proposed schemes still suffer from a drawback that they are only applicable to distribution networks.…”

Section: Introductionmentioning

confidence: 99%

Integrated fault detection algorithm for transmission, distribution, and microgrid networks

Ebrahim

Wadie

Abdallah

2019

IET Energy Systems Integration

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“…Relative to normal operations, the DG current changes in the presence of a break fault. Combining (10) and (13) reveals that the DG break fault current is related to DG power, system impedance, system voltage, and load impedance. When the DG power S DG , system impedance Z S , and voltage _ U N are determined, the DG break fault current is mainly affected by load impedance.…”

Section: Analysis Of Active Distribution Networkmentioning

confidence: 99%

“…e work in [9] proposed a fault location method based on voltage sag measurements that reduces voltage measurement requirements and is proven suitable for various types of DGs. e study in [10] proposed a heuristic algorithm based on bus currents and voltages that employs a pattern search method to estimate the optimal fault point. However, the reliability of such algorithm is affected by the inaccuracy of feeder parameters and the DG equivalent model.…”

Section: Introductionmentioning

confidence: 99%

A New Locating Method of Break Faults in an Active Distribution Network Based on Distributed Generator Monitoring

Xiao

Ouyang

Xiong

2022

International Transactions on Electrical Energy Systems

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Traditional distribution networks are transforming into active distribution networks (ADNs) with the advancement of distributed generators (DGs). Break faults that lead to voltage and current imbalances and fluctuations threat the safety of sensitive power electronic equipment in ADNs. However, locating break faults in ADNs remains a challenge under the influence of DG fault polymorphism. This paper proposes a new method to locate break faults by monitoring information of DG current based on the observability of ADNs. The DG equivalent model is established based on the DG output characteristics under the presence of a single-phase break fault. The characteristics of the fault current contributed by DG are analyzed. An identification method of break faults is proposed based on the variations in DG current. Thus, a fault-locating matrix algorithm is proposed combined with current information and location information of DGs. The simulation results demonstrate that the proposed method can locate break faults quickly and accurately. The method is not affected by topology and changes of DG output and load.

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“…Such a measuring point layout allows these methods to determine fault points after identifying faulted branches. In [12], [13], impedance-based methods that utilize the measured data from substations and branch terminals are presented to identify faulted branches and determine fault points. In general, impedance-based methods require the voltages and the currents at the fault point and branch points/branch terminals to be estimated by using measured data and Kirchhoff's law.…”

Section: Introductionmentioning

confidence: 99%

Computational Fault Time Difference-Based Fault Location Method for Branched Power Distribution Networks

Chen

Yin

et al. 2019

IEEE Access

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Fault location in a power distribution network is a challenging task due to the presence of multilayer branches and short line lengths. Existing fault-location methods generally require measurements at both ends of each branch, which requires a large number of measuring points. The placement of measuring points at branch terminals is an approach that can be used to reduce the number of measuring points. Such a measuring point layout allows the existing fault-location methods for power distribution networks to determine fault points after identifying faulted branches. However, these methods fail to locate a fault if the faulted branch cannot be correctly identified. This paper proposes a traveling-wave-based faultlocation method for branched power distribution networks without requiring faulted branches to be identified. In the proposed method, by using the first arrival times of the fault-generated traveling waves detected at the substation and each branch terminal, the computational fault time difference (CFTD) is defined. By calculating the value of CFTD, the fault point is directly searched out. Finally, the quartile method is used to eliminate the impact of the arrival-time error on the fault-location accuracy of the proposed method. The simulation results verify the high accuracy, traveling-wave velocity stability, and strong arrival-time error robustness of the proposed method.

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Heuristic Method for Fault Location in Distribution Feeders With the Presence of Distributed Generation

Cited by 34 publications

References 26 publications

Integrated fault detection algorithm for transmission, distribution, and microgrid networks

Integrated fault detection algorithm for transmission, distribution, and microgrid networks

A New Locating Method of Break Faults in an Active Distribution Network Based on Distributed Generator Monitoring

Computational Fault Time Difference-Based Fault Location Method for Branched Power Distribution Networks

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