Model-Based Approach Integrated with Fault Circuit Indicators for Fault Location in Distribution Systems

Ananthan, Sundaravaradan Navalpakkam; Bastos, Alvaro Furlani; Santoso, Surya; Chirapongsananurak, Pisitpol

doi:10.1109/pesgm40551.2019.8973516

Cited by 6 publications

(5 citation statements)

References 11 publications

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“…A valuable unique highlight of this method is identifying the fault location on neighbouring lines using limited data. The benefits of the proposed model‐based fault location approach over impedance‐based fault location methods have already been shown in [30, 42] as well as in Sections 4 and 6.1.…”

Section: Comparison With Traditional Fault Location Methodsmentioning

confidence: 86%

“…It also offers the flexibility to incorporate as much additional data as and when available, as discussed in Section 4.3, to increase the fault location accuracy as well as to function independently without any aid from an engineer. The proposed approach can also be extended to distribution systems similar to [42] using fault circuit indicators.…”

Section: Comparison With Traditional Fault Location Methodsmentioning

confidence: 99%

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Novel system model‐based fault location approach using dynamic search technique

Ananthan

Bastos

Santoso

2021

IET Generation Trans & Dist

Self Cite

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Impedance-based fault location (IBFL) approaches are the most commonly used fault location methods in digital relays. However, each IBFL approach is designed specific to a line or network configuration and thus is not universal. For example, complex line configurations such as lines with mutual coupling between them and three-terminal lines have to employ individual IBFL algorithms derived specifically for them. Furthermore, they suffer from several sources of errors such as non-homogeneous system, and CT saturation. Hence, this paper presents a novel fault location approach that utilises a system model to overcome these limitations. The proposed model-based fault location (MBFL) approach estimates the fault location by identifying the closest match among various anticipated fault scenarios obtained using the system model and the actual fault scenario. It uses a dynamic search technique to implement the MBFL efficiently. A key highlight of the proposed approach is identifying the location of a fault on a neighbouring line using limited measurements, as few as only the through fault current flowing in a neighbouring line. The advantages of the approach and its practical applicability have been demonstrated by implementing it in complex network configurations as well as field data.

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Section: Comparison With Traditional Fault Location Methodsmentioning

confidence: 86%

Section: Comparison With Traditional Fault Location Methodsmentioning

confidence: 99%

Novel system model‐based fault location approach using dynamic search technique

Ananthan

Bastos

Santoso

2021

IET Generation Trans & Dist

Self Cite

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“…Location of fault in distribution systems is crucial to rectify faults quickly. Ananthan et al [35] used fault circuit indicators together with the distribution system model to identify fault sections and subsequently located the fault. However, complex topologies make the locating process difficult.…”

Section: Other Forms Of Fault Indicatorsmentioning

confidence: 99%

Sum Standard Deviation of Frequency – A Context Independent Machine Condition Trend Indicator

Feng,

2023

Digit. Manuf. Technol.

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In Industry 4.0, multiple research subjects have been involved in processing enormous information generated during the manufacturing process. Meanwhile, they all pursue the same goal, that is, to maintain the manufacturing process at good operating state. Hence, many researchers are focusing their researches on continuous health monitoring using digital signal processing techniques, in particular, most researches are focused on recognition of a fault condition only. However, by the time when a fault is recognised, at least one reject has been produced, or an impact to the system's operation has occurred. In addition, many algorithms are designed specifically for certain class of applications. This paper proposes a new system health condition indicator, Sum Standard Deviation of Frequency (SSDF), which is computed from a new computational process that segments raw data streams into time segments and the segments are synchrosqueezed continuous wavelet transformed. As long as sufficient data is available, SSDF shows distinct consecutive regions for "normal", "marginal" and "abnormal" machine conditions. Actions can then be taken while the machine is in "marginal" conditions in which the manufacturing quality is still acceptable. SSDF does not link to any application context information of the raw signal data stream hence making it context independent.

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“…Another useful requirement is to make use of the already available data for estimating the fault location and not extract new parameters unnecessarily. All of these vital prerequisites are satisfied by the MBFL technique presented in [14, 32].…”

Section: Neural Network For Identifying Fault Location and Fault Resmentioning

confidence: 99%

Application technique for model‐based approach to estimate fault location

Ananthan

Santoso

2020

IET Smart Grid

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Impedance-based algorithms commonly used for determining the fault location in transmission lines are prone to several sources of error and are specific to the line and system configuration. Furthermore, these algorithms do not utilise available valuable information about the power system surrounding the faulted line. These issues can be overcome using a model-based fault location (MBFL) approach. It uses a circuit model to simulate possible fault scenarios and compares the simulated fault currents with the measured currents recorded by the relay to identify the fault location. However, there are several difficulties and limitations while applying MBFL. There is a loss in accuracy and precision based on the number of simulated scenarios and a requirement to store voluminous simulation results. Hence, this study presents a novel application technique for implementing model-based approach efficiently to estimate the fault location and fault resistance using artificial neural networks-based approach. A key highlight of the proposed approach is the ability to identify the location of a fault present on neighbouring lines using the measured through fault current. The study also presents representative scenarios to demonstrate the capability and potential of the proposed approach.

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Model-Based Approach Integrated with Fault Circuit Indicators for Fault Location in Distribution Systems

Cited by 6 publications

References 11 publications

Novel system model‐based fault location approach using dynamic search technique

Novel system model‐based fault location approach using dynamic search technique

Sum Standard Deviation of Frequency – A Context Independent Machine Condition Trend Indicator

Application technique for model‐based approach to estimate fault location

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