Fault Location in Distribution Systems Based on Smart Feeder Meters

Trindade, Fernanda C. L.; Freitas, Walmir; Vieira, José Carlos M.

doi:10.1109/tpwrd.2013.2272057

Cited by 139 publications

(96 citation statements)

References 14 publications

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“…Each of the four fault types in each of the 133 buses is simulated with 0.5-and 10fault resistances to provide single fault scenarios. To compare our results with [10], we only investigate the two fault resistances they used in single-fault location. In addition, 2000 scenarios are randomly produced for each of the double and triple simultaneous faults.…”

Section: Simulations Results and Algorithm Validationmentioning

confidence: 99%

“…Therefore, angles of 0 120 , and 120 are allocated to voltage sag values in phases a, b, and c, respectively [10]. The voltage sags are calculated by (6) where and are three-phase during-and prefault voltage magnitudes at bus , respectively.…”

Section: Fault Location Methodologymentioning

confidence: 99%

“…We calculate by (9) where is the estimated vector, and is the norm operator, and use the nonzero values in the sparse solution to estimate the faulted points. Since the data delivered to the control center are noisy, (8) is modified to (10) where is a measurement noise vector with energy . Stable -norm minimization is used to reconstruct the via the noisy data (11) where is the norm operator.…”

Section: A Compressive Sensing Frameworkmentioning

confidence: 99%

“…The simplicity and cost effectiveness of impedancebased techniques make them desirable, but their performance deteriorates with multiple fault location estimations. AOM improves their performance by limiting the search space for probable faulted points [10]- [13]. AOM can be implemented by monitoring the customers, cutout fuses, and Fault Indicators (FIs).…”

Section: Introductionmentioning

confidence: 99%

“…In [3], [10], and [14]- [16], voltage sags are calculated by load flow for all buses using a few measured voltage sags. The differences between the calculated and actual voltage sags are characterized to find the fault location.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

A Novel Method for Single and Simultaneous Fault Location in Distribution Networks

Majidi

Etezadi-Amoli

Fadali

2015

IEEE Trans. Power Syst.

100

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This paper introduces a novel method for single and simultaneous fault location in distribution networks by means of a sparse representation (SR) vector, Fuzzy-clustering, and machinelearning. The method requires few smart meters along the primary feeders to measure the pre-and during-fault voltages. The voltage sag values for the measured buses produce a vector whose dimension is less than the number of buses in the system. By concatenating the corresponding rows of the bus impedance matrix, an underdetermined set of equation is formed and is used to recover the fault current vector. Since the current vector ideally contains few nonzero values corresponding to fault currents at the faulted points, it is a sparse vector which can be determined by -norm minimization. Because the number of nonzero values in the estimated current vector often exceeds the number of fault points, we analyze the nonzero values by Fuzzy-c mean to estimate four possible faults. Furthermore, the nonzero values are processed by a new machine learning method based on the k-nearest neighborhood technique to estimate a single fault location. The performance of our algorithms is validated by their implementation on a real distribution network with noisy and noise-free measurement.Index Terms-Compressive sensing, distribution networks, fault location, Fuzzy-c mean, k-nearest neighborhood, and stable -norm minimization, smart meters.

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Section: Simulations Results and Algorithm Validationmentioning

confidence: 99%

Section: Fault Location Methodologymentioning

confidence: 99%

Section: A Compressive Sensing Frameworkmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

A Novel Method for Single and Simultaneous Fault Location in Distribution Networks

Majidi

Etezadi-Amoli

Fadali

2015

IEEE Trans. Power Syst.

100

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Mixed integer programming formulation for fault identification based on MicroPMUs

Alqahtani

Miao

Fan

2021

Int Trans Electr Energ Syst

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Summary This article proposes a mixed integer linear programming (MILP)‐based algorithm to estimate faults locations, types, and fault current magnitudes in unbalanced three‐phase distribution networks. The proposed method requires voltage phasors prior to and during fault conditions. The measurements are collected by microPMUs at the end of the branches along with the bus impedance matrix. To assess the proposed technique's performance in fault location and current identification, different types of faults scenarios are considered. Balanced and unbalanced faults are examined on the IEEE 37‐bus, the IEEE 123‐bus, and 134‐node real‐life feeders. Efficiency of the proposed method is investigated on ungrounded systems, reduced microPMU number, different fault resistances, inaccurate bus impedance matrix, distributed generation penetration, and noisy measurement data. High accuracy rate is achieved by the proposed method in identifying fault locations, types, and current magnitudes.

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Accuracy improvement of impedance-based fault locating method in distribution systems with DGs considering loss of laterals and load variations

Dadary

Afrakhte

2017

Int Trans Electr Energ Syst

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Summary Fast and accurate fault location methods will accelerate power system restoration process and then cause improvement on availability and reliability indices. Presenting a modified scheme in order to improve accuracy of impedance‐based fault location method in electric power distribution systems (EPDS) equipped with distributed generation (DG) units is the main goal of this paper. To achieve this goal, an iterative algorithm is introduced to compensate load variations. Also, a method is presented based on forward/backward sweep load flow to consider loss in all laterals of EPDS. Then, fault location will be determined by using a comprehensive method that extracts a fifth‐order algebraic equation for each type of fault. This method will be modified to consider the presence of DGs in EPDS. In this paper, all the specific characteristics of real distribution systems such as unbalanced nature of network and loads, different types of loads, presence of multi‐phase laterals, and capacitive effects of distribution lines are taken into account. The proposed scheme uses only 1 measurement unit at the main substation and 1 measurement unit at the DG bus. In this paper, modified IEEE 34 node test system is simulated by using PSCAD/EMTDC software, and it is used as a test system to evaluate the performance of the proposed method. Different scenarios such as the effect of fault distance, fault type, different fault resistances, and measurement unit errors are evaluated. The results indicate usefulness and precision of the proposed scheme.

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Fault Location in Distribution Systems Based on Smart Feeder Meters

Cited by 139 publications

References 14 publications

A Novel Method for Single and Simultaneous Fault Location in Distribution Networks

A Novel Method for Single and Simultaneous Fault Location in Distribution Networks

Mixed integer programming formulation for fault identification based on MicroPMUs

Accuracy improvement of impedance-based fault locating method in distribution systems with DGs considering loss of laterals and load variations

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