Development of a Transmission Network Fault Location Platform Based on Cloud Computing and Synchrophasors

Lin, Tzu-Chiao; Yang, Jun‐Zhe; Yu, Chi‐Shan; Liu, Chih-Wen

doi:10.1109/tpwrd.2019.2929290

Cited by 13 publications

(36 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In order to ensure the smooth progress of resource sharing in the cloud environment, it is necessary to establish a rigorous regulatory mechanism to supervise the sharing behavior of users. Establishing a professional organization with organizational ability and supervision is a better solution [5].…”

Section: Introductionmentioning

confidence: 99%

Development of Cloud Computing Platform Based on Neural Network

Zhange

Wang

Liu

et al. 2022

Mathematical Problems in Engineering

View full text Add to dashboard Cite

Aiming at the problems of small data storage, small platform throughput, and high energy consumption in the development of existing cloud computing platforms, this paper develops a cloud computing platform based on neural networks. In the design of the platform, firstly, the functions of the cloud computing platform are determined. Based on the function design, the hardware and software of the cloud computing platform are designed. In the hardware design, the topology of cloud computing platform, data acquisition module, single-chip microcomputer, node deployment, and other types of functional hardware are designed. In the software design, the neural network is mainly used to remove the redundancy of data stored in a cloud computing platform, design the data processing flow of cloud computing platform, and complete the development of cloud computing platform based on neural network. The experimental results show that the cloud computing platform based on the neural network designed in this paper runs faster, the throughput of platform data has been significantly improved, and the operating energy consumption of the platform is low.

show abstract

Section: Introductionmentioning

confidence: 99%

Development of Cloud Computing Platform Based on Neural Network

Zhange

Wang

Liu

et al. 2022

Mathematical Problems in Engineering

View full text Add to dashboard Cite

show abstract

“…In recent developments, power companies are deploying the cloud-based platform, as part of their digitalization program [40]. Fault location is one of the applications therein which can be calculated by uploading the disturbance recorder data into the cloud from stations.…”

Section: Introductionmentioning

confidence: 99%

“…Fault location is one of the applications therein which can be calculated by uploading the disturbance recorder data into the cloud from stations. The final FL information is then sent to the field staff for faster restoration [40]. The proposed method is amenable to such new digital deployment; an added advantage over available FL methods.…”

Section: Introductionmentioning

confidence: 99%

“…The proposed method is amenable to such new digital deployment; an added advantage over available FL methods. Being model-free, the proposed solution is advantageous for practical deployment [40], even using such an emerging technology. Further, once the fault location is known, the method can produce an accurate estimate of the wave speed of the line for any other possible applications.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Model Free Traveling Wave Based Fault Location Method for Series Compensated Transmission Line

Naidu¹,

Pradhan

2020

IEEE Access

View full text Add to dashboard Cite

Locating fault position in a series compensated transmission line is a difficult task due to the non-linear characteristics of the metal-oxide varistor which is present in the protection system of the compensator. In this paper, a model-free two-terminal traveling wave-based fault location method for a series compensated line is proposed. The technique makes use of two subroutines which calculate the fault locations assuming that the fault position to be on the left and right side of the series compensator respectively. The method then selects the correct fault location of the two by a special logic based on faulted half-section identification. The first two traveling wave arrival times recorded at both the terminals of the line are used in the method. The proposed technique does not require model information of the series capacitor and transmission line. It has been verified using the PSCAD/EMTDC model of a 400-kV, 300 km transmission line which is compensated by a fixed series capacitor in the middle and line ends. The performance of the proposed method is compared with a commercially available classical two-ended techniques and setting-free method. INDEX TERMS Faulted half-section identification, series compensated lines, synchronized data, travelingwave-based fault locator This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.

show abstract

“…The article [25] presents a fault location system. The system is based on synchro phasors measurements.…”

mentioning

confidence: 99%

Analysis of the Power Supply Restoration Time after Failures in Power Transmission Lines

et al. 2020

View full text Add to dashboard Cite

This paper presents the analysis of power supply restoration time after failures occurring in power lines. It found that the power supply restoration time depends on several constituents, such as the time for obtaining information on failures, the time for information recognition, the time to repair failures, and the time for connection harmonization. All these constituents have been considered more specifically. The main constituents’ results values of the power supply restoration time were analyzed for the electrical networks of regional power supply company “Oreolenergo”, a branch of Interregional Distribution Grid Company (IDGC) of Center. The Delphi method was used for determining the time for obtaining information on failures as well as the time for information recognition. The method of mathematical statistics was used to determine the repair time. The determined power supply restoration time (5.28 h) is similar to statistical values of the examined power supply company (the deviation was equal to 9.9%). The technical means of electrical network automation capable of the reduction of the power supply restoration time have also been found. These means were classified according to the time intervals they shorten.

show abstract

Development of a Transmission Network Fault Location Platform Based on Cloud Computing and Synchrophasors

Cited by 13 publications

References 15 publications

Development of Cloud Computing Platform Based on Neural Network

Development of Cloud Computing Platform Based on Neural Network

Model Free Traveling Wave Based Fault Location Method for Series Compensated Transmission Line

Analysis of the Power Supply Restoration Time after Failures in Power Transmission Lines

Contact Info

Product

Resources

About