Fault localization for transmission lines with optimal Phasor Measurement Units

Devi, M. Meenakshi; Geethanjali, M.; Devi, A. Rama

doi:10.1016/j.compeleceng.2018.01.043

Cited by 30 publications

(12 citation statements)

References 20 publications

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“…The most important advantage of this method is that only one PMU is sufficient to locate the fault. However, they require prior fault assumptions or sections, which are quite complex to implement [27,28]. Since fault results in the inception of transient, the traveling wave method utilizes its high frequency to estimate its arrival time from the fault point.…”

Section: Fault Detection and Locationmentioning

confidence: 99%

An investigation on the application and challenges for wide area monitoring and control in smart grid

2021

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The complexity and dynamics of the modern power system are continuously changing due to the penetration of a large number of renewable energy sources and changing load patterns. These growing complexities have caused numerous outages around the world, primarily due to the lack of situational awareness about the grid operating states. Rectification of this problem requires advanced sensing technology to accurately capture the dynamics of the system for better monitoring and control. Measurement of synchrophasors is a potential solution to improve situational awareness in the grid. The synchrophasors technology is now widely accepted throughout the world and has the potential to replace the existing SCADA system in monitoring and control of the power system. Their installation enables efficient resolution to substantially improve transmission system planning, maintenance, operation, and energy trading. This paper reviews the state of the art potential applications that the PMU based WAMC offers to the power system. It also includes technical perspectives, challenges, and future possibilities.

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Section: Fault Detection and Locationmentioning

confidence: 99%

An investigation on the application and challenges for wide area monitoring and control in smart grid

2021

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“…Today, many countries have to urgently address the issue of the timely detection and elimination of defects in transmission lines [14][15][16][17]. What makes it highly relevant to design appropriate 'preemptive' solutions is their strong economic effect that shows in lower expenditures on the elimination of failures, compensation of power losses and operating costs [13,[17][18][19][20].…”

Section: Introductionmentioning

confidence: 99%

Asset management in grid companies using integrated diagnostic devices

Gitelman¹,

Kozhevnikov²,

Kaplin³

2019

Int. J. EQ

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The digitization of power grids envisages a transition to new models of fault diagnosis, repair and maintenance of electric power grid equipment. The most promising tools for implementing advanced production asset management strategies are integrated technologies that are based on robotic diagnostic platforms, various hardware-software instruments and smart data analysis systems. The article analyzes other countries' experience of developing robotic methods of fault diagnosis and maintenance of overhead power transmission lines, which present a major challenge in terms of monitoring, failure prediction and localized repairs. The Cablewalker robotic system was used as an example for identifying the advantages of integrated diagnostic hardware systems as opposed to traditional methods of power grid equipment maintenance and overhaul. Recommendations are given for adopting the technology in grid companies. During trials of the technology on a 2.34-km section of a power transmission line 112 defects were detected versus three that were identified by means of 'manual' inspection. A digital twin of the transmission line was created to manage its technical condition with regard to various risks.

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“…Location of the fault has been identified by linearizing nonlinear set of voltage and current equations using least square estimation problem. Meenakshi Devi et al (2018) have proposed a novel fault location algorithm using the latitude and longitude by involving georeferenced data of the power system. Rajaraman et al (2018) have proposed a robust fault analysis algorithm for transmission line protection.…”

Section: Introductionmentioning

confidence: 99%

“…The proposed method is developed on the assumption that no errors are present in the transmission line parameters estimation. Most of these methods (Jiang et al 2012;Mousavi-Seyedi et al 2015;Vallapu et al 2017;Kang et al 2017;Das et al 2017;Saber 2018; Barman and Roy 2018;Meenakshi Devi et al 2018;Rajaraman et al 2018) discussed above are confined to simulation based validations only.…”

Section: Introductionmentioning

confidence: 99%

A Real-Time Synchronized Harmonic Phasor Measurements-Based Fault Location Method for Transmission Lines

Mallikarjuna

Gopakumar

Roy

et al. 2019

J Control Autom Electr Syst

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In this paper, a real-time synchronized harmonic phasor measurements-based fault location (RT-SHPM-FL) method for transmission lines is proposed. At transmission line protection center (TPC), the synchronized harmonic phasor measurements are obtained from all phasor measurement units (PMU) deployed in a power system. At each bus, the PMU estimates time-tagged 100 and 150 Hz phasors of 3-ɸ current signals in addition to fundamental phasor (50 Hz). The proposed RT-SHPM-FL method detects and locates a fault using the magnitude of 100 and 150 Hz phasors of 3-ɸ currents and equivalent harmonic phasors (EHPs), respectively. These EHPs are calculated from the magnitude of time-tagged 50, 100 and 150 Hz three-phase current phasors. For estimating the fault distance, the RT-SHPM-FL method has employed support vector regression (SVR), because of its mimicking nature, generalization and robustness. The functioning of the proposed fault location method has been validated in real-time on a scaled-down laboratory model of 400 kV extra high voltage (EHV) transmission line of 400 km long. The experimental results and discussions show that the proposed method locates transmission line faults accurately. Further, a comparative study of the proposed fault location method using SVR and adaptive neuro-fuzzy inference system has revealed that the former one is more reliable in fault location than the latter one since the error is within ± 1%.

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Fault localization for transmission lines with optimal Phasor Measurement Units

Cited by 30 publications

References 20 publications

An investigation on the application and challenges for wide area monitoring and control in smart grid

An investigation on the application and challenges for wide area monitoring and control in smart grid

Asset management in grid companies using integrated diagnostic devices

A Real-Time Synchronized Harmonic Phasor Measurements-Based Fault Location Method for Transmission Lines

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