Research on Reliability of Relaying Protection in Smart Substation

Wang, Kai; Li, Wanqing

doi:10.4236/wjet.2019.72024

Cited by 2 publications

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“…To assess the reliability of the functioning of the RPA under operating conditions, an average statistical indicator h of its operation is used, called the percentage of correct actions [21]:…”

Section: Statistical Efficiency Indicators Of the Relay Protection Al...mentioning

confidence: 99%

“…With such a formulation of the problem in the theory of machine learning and radio engineering applications, to assess the recognition ability of trained algorithms [19][20][21][22][23], the "receiver operating characteristic" (ROC-curve) is used [22]. The ROC-curve in relation to the RPA algorithm can be built by plotting on the plane along the ordinate axis the values D, and along the abscissa axis the variable F for various thresholds (settings) of protection operation (Figure 4).…”

Section: Statistical Efficiency Indicators Of the Relay Protection Al...mentioning

confidence: 99%

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Decision Tree Models and Machine Learning Algorithms in the Fault Recognition on Power Lines with Branches

et al. 2023

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The complication of the structure, topology and composition of the future electrical networks is characterized by difficult-to-recognize circuit-mode situations and requires modern methods for analyzing information parameters. The growing trend of digitizing signals in substations and the use of the IEC 61850 standard results in a huge amount of new data available at the nodes of the electrical network. The development and analysis of new methods for detecting and recognizing the modes of electrical networks (normal and emergency) are topical research issues. The article explores a new approach to recognizing a faulted section of an electrical network with branches by concurrently analyzing several information features and applying machine learning methods: decision tree, random forest, and gradient boosting. The application of this approach for decision-making by relay protection has not been previously implemented. Simulation modeling and the Monte Carlo method are at the heart of obtaining training samples. The results of testing the studied methods under review showed the required flexibility, the ability to use a large number of information parameters, as well as the best results of fault recognition in comparison with the distance protection relay.

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Section: Statistical Efficiency Indicators Of the Relay Protection Al...mentioning

confidence: 99%

Section: Statistical Efficiency Indicators Of the Relay Protection Al...mentioning

confidence: 99%

Decision Tree Models and Machine Learning Algorithms in the Fault Recognition on Power Lines with Branches

et al. 2023

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A Smart Strategy for Blocking the Distance Protection Function during VT Fuse Failure

Eltamaly¹,

Elghaffar²

2022

ICA

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Saving the electrical power system in stable condition is considered as one of important challenges to avoid any failure of high voltage equipment. Additionally, with the increasing off the critical loads, it's very important to use the accurate protection system that can deal with any abnormal condition. This paper studies one of critical cases that can effect on the coordination of the protection system with the faults during fuse fail condition. Over Head transmission line (OHTL) is the most part in the power system that faces the disturbances, which can be protected by multi-protection functions as line differential function, distance protection function, over current, earth fault, over/under voltage etc. The distance protection function is depending on the line voltage and the load current to calculate the load zone. This paper aims to prevent the falls operation of distance protection function during voltage transformer fuse failure condition.

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Research on Reliability of Relaying Protection in Smart Substation

Cited by 2 publications

References 0 publications

Decision Tree Models and Machine Learning Algorithms in the Fault Recognition on Power Lines with Branches

Decision Tree Models and Machine Learning Algorithms in the Fault Recognition on Power Lines with Branches

A Smart Strategy for Blocking the Distance Protection Function during VT Fuse Failure

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