Algorithm for Fault Detection and Classification Using Wavelet Singular Value Decomposition for Wide-Area Protection

Lee, Jae Won; Kim, Won-Ki; Oh, Yun-Sik; Seo, Hun-Chul; Jang, WooJin; Kim, Yoon Sang; Park, Chul‐Won; Kim, Chul‐Hwan

doi:10.5370/jeet.2015.10.3.729

Cited by 17 publications

(8 citation statements)

References 24 publications

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“…A WT can extract time and frequency information simultaneously from an original signal [17][18][19] (1) where x(n) is the input signal, g(n) is the mother wavelet (MW), a m 0 is a scale parameter, na m 0 b 0 is the time shift of g(n), and scaling parameter "a" and translation parameter "b" are functions of integer parameter m [17][18][19]. The values of a, b, and m are different according to the types of MW.…”

Section: Wavelet Transformmentioning

confidence: 99%

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Novel Protection Scheme considering Tie Switch Operation in an Open-Loop Distribution System using Wavelet Transform

Seo¹

2019

Energies

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Loop power distribution systems are gaining increasing attention due to improvements in the reliability of the power supply and the connection of distributed generation. With loop distribution systems, there is the possibility of mal-operation of the protection relay because of the existence of the tie switch and bi-directional current injection. In this paper, we propose a novel protection scheme considering the tie switch operation in the open loop power distribution system using wavelet transform. We analyze the possibility of mal-operation of the protection relay as a result of the normal load current after tie switch operation and analyze the characteristics of the normal load current and fault current injection after tie switch operation. Using these results, a new index is proposed to distinguish the normal load current and fault current, and a novel protection scheme based on this new index is proposed. The proposed method is modeled using an electromagnetic transients program and MATLAB, and the various simulations are performed according to the tie switch position, the fault location, and the success or failure of the fault section separation. From the simulation results, we can confirm that the normal load current and the fault current after tie switch operation can be accurately distinguished and the protection relay can accurately operate at only fault conditions.

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Section: Wavelet Transformmentioning

confidence: 99%

“…In a WT, these characteristics are defined as approximation (A) and detail (D). In this process, the original signal, S, can be represented as follows [17][18][19]:…”

Section: Wavelet Transformmentioning

confidence: 99%

Novel Protection Scheme considering Tie Switch Operation in an Open-Loop Distribution System using Wavelet Transform

Seo¹

2019

Energies

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“…The voltage signal measured from PMU for the fault area estimation is processed. In the operation process of the algorithm, the threshold value is determined irrespective of voltage when there is white noise in signal and it is verified [30]. Since the fault is assumed to be in the vicinity of the first PMU, its neighbor PMUs need to calculate the fault distance from the first PMU.…”

Section: Fault Area Estimation In Wide Area Networkmentioning

confidence: 99%

Fault area estimation using traveling wave for wide area protection

Lee

Kim

Han

et al. 2016

J. Mod. Power Syst. Clean Energy

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As the increasing number of Phasor Measurement Units (PMUs) are deployed, wide area protection in power systems has been gaining interest. In particular, fault detection, fault classification and fault area estimation are essential to reduce the damage of faults, and even prevent catastrophic cascades of failures. In this paper, we present a scheme for fault area estimation using PMUs and traveling wave theory. The purpose of this paper is to formulate a scheme for fault area estimation by calculating the approximate fault location based on traveling wave theory. This research has targeted at reliable operation of wide transmission system through the estimation of fault area. To verify the suggested scheme, the various simulations are performed in practical Korean power transmission system. The simulation results show that the proposed scheme has a good performance with high accuracy for estimating fault area.

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“…Additionally, it requires an appropriate decomposition levels before creating the feature [21]. AI techniques require an appropriate training process, and these may increase the challenges practically especially for the huge systems with wide variation in faults [14,[22][23][24][25][26]. Conventional distance protections are facing some challenges to deal with far-end high resistance faults.…”

Section: Introductionmentioning

confidence: 99%

A cumulative standard deviation sum based method for high resistance fault identification and classification in power transmission lines

Musa

et al. 2018

Prot Control Mod Power Syst

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High resistance fault poses an enormous challenge to the existing algorithms of fault detection and fault classification. In this paper, the standard deviation and accumulation method are employed to perform the fault detection and classification. It is primarily built in two stages. Firstly, the standard deviations for the measured current's signals of the local and remote terminals is computed to extract the fault feature. Secondly, the cumulative approach is used to enlarge the fault feature to perform the high resistance fault. The proposed scheme is known as Standard Deviation Index (SDI), and it is obtained for the three phases and zero sequence. The proposed algorithm has been tested through different fault circumstances such as multiple faults locations, fault resistances, and fault inception time. Moreover, far-end faults with high-resistance, faults happened nearby the terminal, faults considering variable loading angle, sudden load change, different sampling frequency, bad signaling and a fault occurred in the presence of series compensation are also discussed. The results show that the proposed scheme performed remarkably well regarding the fault with resistance up to 1.5kΩ and can be detected within a millisecond after the fault inception. Additionally, the computational simplicity that characterizes the processes makes it more efficient and suitable for domain applications.

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Algorithm for Fault Detection and Classification Using Wavelet Singular Value Decomposition for Wide-Area Protection

Cited by 17 publications

References 24 publications

Novel Protection Scheme considering Tie Switch Operation in an Open-Loop Distribution System using Wavelet Transform

Novel Protection Scheme considering Tie Switch Operation in an Open-Loop Distribution System using Wavelet Transform

Fault area estimation using traveling wave for wide area protection

A cumulative standard deviation sum based method for high resistance fault identification and classification in power transmission lines

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