Distributed Traveling-Wave-Based Fault-Location Algorithm Embedded in Multiterminal Transmission Lines

Ding, Jiali; Wang, Xin; Zheng, Yongjun; Li, Lixue

doi:10.1109/tpwrd.2018.2866634

Cited by 62 publications

(24 citation statements)

References 25 publications

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“…The wavelet transforms and MRA have been used in an extra-high voltage line for real-time fault analysis, as the performance of an algorithm in this system is independent of fault impedance and fault angle [35]. Another case study on the multi-terminal transmission system also showed a similar result terms of accuracy of fault location [36]. These applications of the wavelet-based algorithm and artificial intelligence for fault classification have shown a satisfactory result with potential for application in the protection system.…”

Section: Literature Reviewmentioning

confidence: 82%

Fault Classifications in Distribution Systems Consisting of Wind Power as Distributed Generation Using Discrete Wavelet Transforms

Patcharoen

Ngaopitakkul

2019

Sustainability

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This paper proposed a fault type classification algorithm in a distribution system consisting of multiple distributed generations (DGs). The study also discussed the changing of signal characteristics in the distribution system with DGs during the occurrence of different fault types. Discrete Wavelet Transform (DWT)-based signal processing has been used to construct a classification algorithm and a decision tree to classify fault types. The input data for the algorithm is extracted from the three-phase current signal under normal conditions and during fault occurrence. These signals are recorded from the substation, load, and DG bus. The performance of the proposed classifying algorithm has been tested on a simulation system that was modeled after part of Thailand’s 22 kV distribution system, with a 2-MW wind power generation as the DG, connected to the distribution line by PSCAD software. The parameters that were taken into consideration consisted of the fault type, location of the fault, location of DG(s), and the number of DGs, to evaluate the performance of the proposed algorithm under various conditions. The result of the simulation indicated significant changes in current signal characteristics when installing DGs. In addition, the proposed algorithm has achieved a satisfactory accuracy in terms of identifying and classifying fault types when applied to a distribution system with multiple DGs.

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Section: Literature Reviewmentioning

confidence: 82%

Fault Classifications in Distribution Systems Consisting of Wind Power as Distributed Generation Using Discrete Wavelet Transforms

Patcharoen

Ngaopitakkul

2019

Sustainability

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“…The location of the fault point is the intersection of two fitted straight lines. According to the Equations (13) and (21), the fault distance lEf2 = 39.52311km. The location error of this case is 0.010%.…”

Section: Test Case 2: Abg Fault F2mentioning

confidence: 99%

“…Consequently, the fault is located using a corresponding two-terminal fault location method in this fault section, but the high accuracy of the traveling wave arrival time measurement is required in this method whose application effect is not ideal when there is a time recording error. In order to eliminate the impact of time recording errors of a certain location device in the entire transmission network, the methods of [21][22][23] are proposed. The complex structure of a multi-terminal power system is divided into several fault identification branches with an algorithm proposed in [21], where the current at the midpoint of each branch is measured to eliminate time recording errors, but this algorithm needs to calculate the time difference for faults in various intervals so the amount of calculation is large.…”

Section: Introductionmentioning

confidence: 99%

“…In order to eliminate the impact of time recording errors of a certain location device in the entire transmission network, the methods of [21][22][23] are proposed. The complex structure of a multi-terminal power system is divided into several fault identification branches with an algorithm proposed in [21], where the current at the midpoint of each branch is measured to eliminate time recording errors, but this algorithm needs to calculate the time difference for faults in various intervals so the amount of calculation is large. Later the location algorithm based on neural network and network path is proposed in [22] and [23], respectively, where the algorithm and fault information judgment are all improved, but time data fusion is still not improved.…”

Section: Introductionmentioning

confidence: 99%

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A Novel Traveling Wave Fault Location Method for Transmission Network Based on Directed Tree Model and Linear Fitting

Zeng

Zhang

et al. 2020

IEEE Access

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In order to solve the problem of inaccurate fault location in the transmission network under some abnormal conditions, such as traveling wave location device faults, startup failure and time recording error, a novel traveling wave fault location method based on directed tree model and linear fitting is proposed. A directed tree model of the fault traveling wave transmission along the shortest path is established based on graph theory analysis of traveling wave transmission network. Two straight lines are fitted on the coordinate plane where the accurate fault location is obtained direct by coordinate information of the intersection of these two fitted straight lines (FSLs), according to the transmission characteristics of the fault traveling wave in the directed tree model. The wave velocity is used as the slope of the fitted straight line, and the influence of its uncertainty on the fault location is eliminated. The time record error points of the location device are automatically eliminated in the linear fitting. PSCAD simulation results prove that fault information of the entire transmission network is comprehensively utilized by the proposed method and the ring network is automatically unlooped. The reliability and accuracy of fault location are remarkably improved, particularly for the fault scenarios with recorded information abnormity. INDEX TERMS Transmission network, fault location, traveling wave, directed tree model, linear fitting.

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“…Especially in a competitive power market, the rapid recovery of transmission line fault is a huge challenge for electricity companies. With the emergence of faults, electricity companies should restore the electricity supply as quickly as possible to reduce customer losses and shorten outage times . In order to quickly and effectively restore the electricity supply after a transmission line fault, an accurate fault location technique of the transmission line will play an important role.…”

Section: Introductionmentioning

confidence: 99%

A new technique based on fundamental frequency positive sequence fault components for fault location

Zhao

Zhu

2020

IEEJ Transactions Elec Engng

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This paper presents a new fault location technique based on the fundamental frequency positive sequence fault components, featuring robustness to the operating state of the prefault system and fault path resistance. Using the fundamental frequency positive sequence fault components, the technique described in this paper does not require the user to know the fault phases and fault type in advance or use a line zero sequence parameter, which is not only difficult to obtain but is also affected by soil resistivity and thus may be variable. In addition, based on the fault components protection principle, the method is inherently unaffected by the operating state of the prefault system. Accurate transmission lines' fault location is important for expediting their repair or reducing outage times, so the proposed technique could improve the quality and security of the electricity supply. This paper describes the characteristics of the proposed technique and assesses its performance by using the PSCAD/EMTDC simulation. © 2020 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.

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Distributed Traveling-Wave-Based Fault-Location Algorithm Embedded in Multiterminal Transmission Lines

Cited by 62 publications

References 25 publications

Fault Classifications in Distribution Systems Consisting of Wind Power as Distributed Generation Using Discrete Wavelet Transforms

Fault Classifications in Distribution Systems Consisting of Wind Power as Distributed Generation Using Discrete Wavelet Transforms

A Novel Traveling Wave Fault Location Method for Transmission Network Based on Directed Tree Model and Linear Fitting

A new technique based on fundamental frequency positive sequence fault components for fault location

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