Active distribution network fault location methodology: A minimum fault reactance and Fibonacci search approach

Orozco-Henao, C.; Bretãs, Arturo S.; Leborgne, Roberto Chouhy; Herrera-Orozco, A.R.; Marín-Quintero, J.

doi:10.1016/j.ijepes.2016.06.002

Cited by 58 publications

(43 citation statements)

References 22 publications

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“…In this case, Switches 11,12,13,15,22,25,31,35,55,57 and 78 are opened to keep the radiality of the system. The two faults, illustrated in Figure 15, occur in the same lateral in feeder F1.…”

Section: Test Case 3: Simultaneous Faults In the Same Lateralmentioning

confidence: 99%

“…Some methods have used simple but time-consuming visual inspection to locate the fault [2]. Other fault location algorithms that have been proposed include impedance based methods [3][4][5][6][7][8], travelling-wave based methods [9][10][11], minimum fault reactance methods [12,13], voltage-sag based methods [14][15][16][17], knowledge based methods [18][19][20], and multi-agent approaches [21,22]. However, due to the relatively complex nature of distribution systems, each of these methods has some disadvantages.…”

Section: Introductionmentioning

confidence: 99%

“…It is novel because other methods such as [3][4][5][6][7][8][9][10][11][12][13] do not consider multiple faults. In addition, the authors of [24] state that their method will have limitations when locating multiple faults.…”

Section: Introductionmentioning

confidence: 99%

“…Methods such as electrical-parameter-based methods [3][4][5][6][7][8][9][10][11][12][13][14][15][16][17]24] can determine the fault point or faulted section only, but cannot give the switches that should be opened to isolate the fault. The importance of this is that there is no need to adopt other methods to isolate the fault.…”

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confidence: 99%

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Automatic Faulted Feeder Section Location and Isolation Method for Power Distribution Systems Considering the Change of Topology

2017

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Abstract:The increasing use of modern measuring devices, such as Feeder Terminal Units (FTUs), on power networks can provide multiple types of information for fault location on distribution systems. Using these devices, in this paper, a novel automatic matrix-based algorithm for the identification and isolation of faulted feeder sections on distribution systems is proposed. The algorithm works in two stages: the first stage automatically identifies the radial feeders that make up the whole system and represents the feeders' topology in matrix form; and the second stage automatically identifies the faulted section of the identified feeder and opens the relevant switches to isolate it. The algorithm can be applied to single and multiple faults, as it operates using measuring device information and detecting the status of switch devices. It does not require any electrical parameters and it is not affected by the fault type or fault resistance. The algorithm was thoroughly tested using a large distribution system and was found to efficiently identify and isolate the faulted feeder section in each case.

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Section: Test Case 3: Simultaneous Faults In the Same Lateralmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

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Automatic Faulted Feeder Section Location and Isolation Method for Power Distribution Systems Considering the Change of Topology

2017

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“…Moreover, researchers have found that embedded generation on distribution systems can increase the fault level in the system. Hence, Orozco-Henao et al [5] have presented a fault location (FL) analytical methodology for active distribution networks. The suggested technique has been used to assess the ideal fault level and location.…”

Section: Introductionmentioning

confidence: 99%

The Impacts of Distribution Generators’ Size and Location on Power Efficiency and Voltage Profile in Radial LV Networks

Al-Maghalseh¹

2018

Adv. sci. technol. eng. syst. j.

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This paper presents analytical methods for optimum allocation of distribution generators in a radial distribution network. The aim is to increase power efficiency and reduce loss of power. The ideal size of each distribution generator unit at the identified locations has been carefully selected by making adjustments to loss saving equations and the voltage on a radial feeder. The experimental system is located in the governorate of Bethlehem specifically within the district served by the Jerusalem Distribution Electricity Company (JDECO). The NEPLAN simulator has been utilized in the verification process of the aforementioned experimental system. It entails of several nodes and 400 V-buses that feed up to five household loads. The size and location of each has been carefully chosen. Consequently, significant loss saving, and voltage profile improvement have been reported. Hence, the use of Renewable Distribution Generators (DGs) systems is highly desirable for various reasons including increased system reliability, decreased loss of power, and enhanced voltage profile. Notably, cutting back on the use of conventional fuel will in turn reduce the negative environmental impacts.

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Adjustment strategy of a learning‐based faulty zone locator for distribution systems

Correa-Tapasco

Pérez-Londoño

Flórez

2021

Int Trans Electr Energ Syst

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Fault location is a functionality of the advanced distribution automation for smart grids. This functionality is considered in this paper using a learning-based faulty zone locator (LBFZL), which requires the adequate selection of its adjustment-variables. As these variables are strongly interrelated, the strategy proposed in this paper uses an iterative approach to determine their fair values based on sampling and learning theories. The proposed strategy guides the adjustment process considering the LBFZL performance. According to the analysed tests, the results present a successful selection of the five defined adjustment-variables, due to the high performance in locating single-phase, phase-to-phase, and three-phase faulty zones, in a 34.5 kV-75 bus distribution system. As a result of the proposal application, satisfactory values for the five adjustmentvariables are obtained; and finally, the expected LBFZL performance is higher than 95% for all fault types.

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Active distribution network fault location methodology: A minimum fault reactance and Fibonacci search approach

Cited by 58 publications

References 22 publications

Automatic Faulted Feeder Section Location and Isolation Method for Power Distribution Systems Considering the Change of Topology

Automatic Faulted Feeder Section Location and Isolation Method for Power Distribution Systems Considering the Change of Topology

The Impacts of Distribution Generators’ Size and Location on Power Efficiency and Voltage Profile in Radial LV Networks

Adjustment strategy of a learning‐based faulty zone locator for distribution systems

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