Data mining-based high impedance fault detection using mathematical morphology

Sekar, Kavaskar; Mohanty, Nalin Kant

doi:10.1016/j.compeleceng.2018.05.010

Cited by 32 publications

(8 citation statements)

References 20 publications

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“…In [34], MM operation-based algorithm was used for detection and classification of fault in medium voltage AC microgrid. Different schemes have been proposed for high impedance fault detection using MM based filter [35,36]. A novel MM-based filter for pilot protection scheme was presented in [37,38], which had the ability to discriminate between ascending and descending edges successfully and required less computation burden as compared to the previously developed MMGA based filters.…”

Section: Introductionmentioning

confidence: 99%

High speed protection of medium voltage DC distribution system using modified mathematical morphology

Shah

Bukhari

Imran

et al. 2022

IET Renewable Power Gen

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One of the challenging issues in the realization of medium-voltage DC (MVDC) distribution system is high-speed protection scheme design against quickly rising short circuit fault-DC current. This paper proposes a high-speed protection scheme based on the processing of energy signals through mathematical morphology (MM). The voltage and current signals measured at a distribution line section (DLS) are used to obtain the energy signal. The proposed scheme develops a modified MM-based filter to extract the transient information in the energy signal rapidly and distinctly in the form of positive/negative polarity. The polarity detection of any disturbance in the analysed energy signal indicates the occurrence of a sudden disturbance in the system. The sudden disturbance occurrence confirmation triggers the faulty DLS identification and classification algorithms of the proposed scheme. The faulty DLS identification and classification algorithms are based on the detected polarities of the energy signal. The protection scheme requires low bandwidth communication. The proposed protection scheme is evaluated by using a ±2.5 kV radial distribution network containing 4 feeders under different fault conditions in MAT-LAB/SIMULINK software. Simulation results verify that the proposed scheme can isolate the faulty portion within a few milliseconds after fault inception under a variety of fault cases.

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Section: Introductionmentioning

confidence: 99%

High speed protection of medium voltage DC distribution system using modified mathematical morphology

Shah

Bukhari

Imran

et al. 2022

IET Renewable Power Gen

View full text Add to dashboard Cite

show abstract

“…[31] describes the usage of an MM operation-based algorithm for failure detection and fault classification in a medium voltage AC microgrid. For high impedance fault detection utilising MM based filter, various approaches have been put forth [32][33][34]. In contrast to previously proposed MMGA based filters, a unique and extremely straightforward to create MM based filter is provided in that successfully distinguishes between ascending and desecding edges while requiring less computational work.…”

Section: Introductionmentioning

confidence: 99%

Signal Processing Based High Speed Protection of MVDC Distribution System Using Mathematical Morphology

2022

IRJMETS

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The design of high speed protection schemes against rapidly increasing short circuit fault-DC current is one of the difficult problems in the realisation of medium voltage DC (MVDC) distribution systems. The high-speed protection method proposed in this research uses mathematical morphology to process energy signals . The suggested method makes use of a modified MM-based filter to quickly and clearly extract the transient information from the energy signal in the form of positive/negative polarity. Any abnormality in the examined energy signal's polarity that can be detected indicates a systemic malfunction. The proposed scheme's fault location and classification algorithms are triggered by the confirmation of a fault in order to find the faulty distribution line section (DLS) and categorise the issue. The energy signal's identified polarities serve as the foundation for the algorithms used to locate and categorise faults. Low bandwidth communication is necessary for the protection strategy. Using a 2.5 kV radial distribution network with four feeders and several fault scenarios, the proposed protection strategy is assessed using the MATLAB/SIMULINK software. The suggested scheme's ability to isolate the defective section within a few milliseconds of fault initiation in a range of failure scenarios is supported by simulation findings.

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“…This scheme has high immunity to the unbalanced conditions but it is requiring high sampling rates. The scheme in [27] used the mathematical morphology (MM) and a data mining-based decision tree (DT) for HIF protection algorithms. A new scheme for HIF detection is proposed in [3], it relies on HIF-induced distortion of voltage and current waveforms to detect the fault.…”

Section: Introductionmentioning

confidence: 99%

High Impedance Fault Identification in TCSC-Compensated Power Transmission Lines

Musa¹

2021

FJES

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The conventional distance relaying scheme performs poorly under the presence of Thyristors-controlled series capacitors “TCSC”, and during the high impedance fault “HIF”. TCSC provide a variable impedance during an internal/external fault and HIF is undetectable by the conventional overcurrent relaying due to low-current amplitude with non-linear behavior. Therefore, this paper presents a new Method for identifying the high impedance fault in TCSC-compensated transmission line. It is use the square error ration of the current signals during the fault period and current signals during the safe operating period for extracting the fault. The cumulative sum is being used for enlarging the fault features and then output index is obtained in order to perform the high impedance fault. The proposed method has been tested under different fault circumstances such as multiple fault locations, and multiple fault inception time. Moreover, fault happened nearby the terminal, power flow change, and faults in the presence of noise are also being considered. The test results have shown that the proposed method is good in term of time response, and then it is more appropriate for high impedance fault in TCSC-compensated power line.

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Data mining-based high impedance fault detection using mathematical morphology

Cited by 32 publications

References 20 publications

High speed protection of medium voltage DC distribution system using modified mathematical morphology

High speed protection of medium voltage DC distribution system using modified mathematical morphology

Signal Processing Based High Speed Protection of MVDC Distribution System Using Mathematical Morphology

High Impedance Fault Identification in TCSC-Compensated Power Transmission Lines

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