A novel fault location method for compensated transmission line including UPFC using one‐ended voltage and FDOST transform

Khoramabadi, Hamid R. S.; Keshavarz, Ahmad; Dashti, Rahman

doi:10.1002/2050-7038.12357

Cited by 10 publications

(4 citation statements)

References 53 publications

(54 reference statements)

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“…Accurate detection of fault locations (FLs) in power transmission lines is one of the most important aspects of protection systems. The capability of protection systems to precisely detect FL and determine the corrective action and solve the problem can increase the reliability and reduce the power system operating costs 1‐4 …”

Section: Introductionmentioning

confidence: 99%

“…FL has always been one of the challenging issues in compensated transmission lines. On this basis, the effect of unified power flow controller (UPFC) on FL is studied in Khoramabadi et al 3 This study uses the information of voltage just in one terminal. In the presented method, during a fault, the voltage signal's three‐fourth cycle is received at one side, and then the signal is separated into four partitions.…”

Section: Introductionmentioning

confidence: 99%

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A fault‐location algorithm for parallel line based on the long short‐term memory model using the distributed parameter line model

Taheri

Salehimehr

Sedighizadeh

2021

Int Trans Electr Energ Syst

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Summary Parallel transmission lines are widely used in modern power systems due to their ability to increase power transmission and reliability of the power network. However, due to these networks' complexity, fault locating is a potential problem in these types of systems. Besides, when the wind farms enter these systems, a new challenge will be created for the fault location (FL) techniques; and the reason is that the impedance continuously varies in wind power plants. This paper proposes a novel FL algorithm for parallel transmission lines using the distributed parameter line model. This method uses long short‐term memory networks for estimating source impedance and other network parameters. The algorithm shows accurate performance during noisy conditions and precisely determines the fault distance during both three‐phase and single‐phase faults. The presented method is implemented using PSCAD and Python software. The simulation results illustrate the applicability of the proposed method to estimate FL in the presence of wind farms in the system.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A fault‐location algorithm for parallel line based on the long short‐term memory model using the distributed parameter line model

Taheri

Salehimehr

Sedighizadeh

2021

Int Trans Electr Energ Syst

View full text Add to dashboard Cite

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“…The results have been validated in a real-time environment. For estimating the fault location, Khoramabadi et al [ 16 ] had presented a methodology including UPFC with the support of FDOST transform and one- ended voltage for compensating transmission line. The study was evaluated on a 500 kV transmission line with a length of 300 km and UPFC at various transmission line positions.…”

Section: Introductionmentioning

confidence: 99%

A Dynamic-SUGPDS Model for Faults Detection and Isolation of Underground Power Cable Based on Detection and Isolation Algorithm and Smart Sensors

Rajpoot

Pandey²,

Rajpoot³

et al. 2021

J. Electr. Eng. Technol.

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This paper proposes a SUGPDS model based on Detection and Isolation algorithm and smart sensors, namely micro phasor measurement unit, smart sensing and switching device, phasor data concentrator, and ZigBee technology, etc. for the identification, classification, and isolation of the various fault occurs in the underground power cable in the distribution system. The proposed SUGPDS is a quick and smart tool in supervising, managing, and controlling various faults and issues and maintaining the reliability, stability, and uninterrupted flow of electricity. First, the SUGPDS model is analyzed using a distributed parameter approach. Then, the proper arrangement of the system required for the implantation of SUGPDS is demonstrated using figures. The Phasor data concentrator plays an essential role in developing the detection and classification report for identification and classification. Finally, smart sensing and switching device installed at a different location isolated the faulty phase from a healthy network. This approach helps to decrease power consumption. Hence, SUGPDS has super abilities compared to the underground power distribution system. The effectiveness of the proposed method and model is demonstrated via figures and tables. Keywords Fault detection and isolation • Micro phasor measurement unit (µPMU) • Underground power cable • Phasor data concentrator (PDC) • Smart sensing and switching device (SSSD) • Smart underground power distribution system (SUGPDS) • Short-circuit fault • Open-circuit fault • Ground fault

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“…In Ref. 15, voltage signal received at one side is taken, and fast discrete ortho-normal Stockwell transform is applied to extract feature vector. Then, fault location is estimated using principal component analysis and Gaussian process regression.…”

mentioning

confidence: 99%

Feasibility study of intelligent fault location estimation methods for double‐circuit transmission lines

Swetapadma

Chakrabarti

Abdelaziz

2021

Int Trans Electr Energ Syst

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Fault location estimation methods have been suggested by researchers decades back after the development of transmission lines for power transmission. But there are several drawbacks exist such as incapability to locate high resistance faults, boundary faults, intercircuit faults, change in line parameters, evolving faults, etc. Hence, a method should be developed, which can address all the problems of conventional fault location estimation methods. One of the solutions can be artificial intelligence (AI) due to the ability to learn and think. In this article, an AI-based fault location estimation method has been suggested for transmission lines, which use the measurement from one end of the line. A comparative study of four AI methods has been carried out, and one suitable method has been chosen. Three methods are used for signal processing, and one suitable method has been chosen for signal processing and feature selection. The proposed AI-based method has error in location within 1 km for most fault cases, and maximum error in locating fault is 2.91 km. The performance enhancement of the proposed AI-based method over existing methods is that it does not require a communication link as it uses only one end signal; it can locate high resistance faults, boundary faults, intercircuit faults, unaffected by variation in line parameters, variation in power flow angle, etc. The proposed method can be implemented in real power network, which is feasible, easy, low cost, and robust.

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A novel fault location method for compensated transmission line including UPFC using one‐ended voltage and FDOST transform

Cited by 10 publications

References 53 publications

A fault‐location algorithm for parallel line based on the long short‐term memory model using the distributed parameter line model

A fault‐location algorithm for parallel line based on the long short‐term memory model using the distributed parameter line model

A Dynamic-SUGPDS Model for Faults Detection and Isolation of Underground Power Cable Based on Detection and Isolation Algorithm and Smart Sensors

Feasibility study of intelligent fault location estimation methods for double‐circuit transmission lines

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