Analysis of faults in active distribution network with and without synchronous generator using instantaneous symmetrical components in time domain

Mijailović, Vladica; Ćetenović, Dragan; Ranković, Aleksandar; Petrović, Predrag; Rozgić, Dimitrije

doi:10.1007/s00202-018-0689-5

Cited by 3 publications

(1 citation statement)

References 20 publications

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“…One of the most popular approaches in fault analysis is the use of symmetrical components, where a three-phase system is converted to three single-phase systems, for positive, negative, and zero sequences. Detailed analysis of symmetrical components fault analysis in active distribution networks is discussed by Mijailović et al (2018). The article lists four types of distributed generation units (DGs) regarding short circuit modeling and focuses on synchronous generators.…”

Section: Introductionmentioning

confidence: 99%

Cognitive Edge Computing–Based Fault Detection and Location Strategy for Active Distribution Networks

et al. 2022

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This article proposes a fault detection and location strategy based on cognitive edge computing to harvest the benefits of cognitive edge computing and address the special needs of active distribution networks (ADNs). In the proposed strategy, an ADN smart gateway is used to compile data in a central repository where it will be processed and analyzed. The intermediary smart gateway includes a protection unit where the fault detection, location, and isolation are accomplished through a combination of virtual mode decomposition (VMD), support vector machine (SVM,) and long short-term memory (LSTM)–type deep machine learning tools. The local measurements of branch currents and bus voltages are processed through VMD, and the informative decomposed components are provided as inputs to the SVM-based fault detection unit and LSTM-based fault location unit. The smart digital relay passes trip commands to the respective circuit breaker/s and submits compiled data regarding the history of faults and protection actions to the upper-level units. The findings from simulation results demonstrate the effectiveness of the proposed strategy to provide fast and accurate fault detection and protection against all types of faults and locations in the ADN.

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Section: Introductionmentioning

confidence: 99%

Cognitive Edge Computing–Based Fault Detection and Location Strategy for Active Distribution Networks

et al. 2022

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Application of specialized software systems for determination of normal and emergency operation modes parameters of power distribution networks

Yastrebov

Oskin

Yarosh

et al. 2020

IOP Conf. Ser.: Earth Environ. Sci.

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The paper analyzes the normal and emergency operation of rural distribution electric networks applying specialized software system - RASTRWIN PC, which is used at many power network enterprises in Russia. This specially designed program uses the RASTRWIN PC calculation core - Astra.dll, which calculates normal and emergency network conditions. It is used to solve the problem of calculating the modes of distribution networks 6-10 kV. To achieve greater accuracy of results, we use the scaling network parameters (currents, voltages, loads). For greater accuracy in calculating emergency conditions, the currents of the previous pre-emergency operation mode are used, as well as the dependence of the load current on the voltage in the network in emergency operation mode. The paper also substantiates the equivalent of the distribution network scheme based on a comparison of the calculation results of the modes for the full network section scheme and a simplified scheme. It is done to reduce labor costs when drawing up a design diagram of a distribution power network with a large number of taps on feeders. Using the developed program for a section of a distribution power network with the voltage 10 kV, normal and emergency operation modes of the network were calculated.

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Electromagnetic Analysis and Electrical Signature Based Detection of Stator Asymmetries in Permanent Magnet Synchronous Generators

Kouchih,

Hachelaf,

Tadjine

et al. 2023

2023 IEEE International Conference on Artificial Intelligence &Amp; Green Energy (ICAIGE)

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Analysis of faults in active distribution network with and without synchronous generator using instantaneous symmetrical components in time domain

Cited by 3 publications

References 20 publications

Cognitive Edge Computing–Based Fault Detection and Location Strategy for Active Distribution Networks

Cognitive Edge Computing–Based Fault Detection and Location Strategy for Active Distribution Networks

Application of specialized software systems for determination of normal and emergency operation modes parameters of power distribution networks

Electromagnetic Analysis and Electrical Signature Based Detection of Stator Asymmetries in Permanent Magnet Synchronous Generators

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