Impacts of a Flux-coupling SFCL on the overcurrent protection for distribution system with infeed

Li, Chao; Wang, Shengjie; Li, Bin; Wu, Qi; Zhu, Jianguo; Zhang, Hongjie; Xin, Ying

doi:10.1016/j.ijepes.2023.109036

Cited by 7 publications

(1 citation statement)

References 21 publications

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“…Nearing the end of their life are the members of the hierarchical grid. As the electrical the outdated grid and the ever rising cost of electricity [1]. Based to a study by the American Department of Energy [2], demand and use of energy in the US has risen by 2.5% annually over the past 20 years.…”

Section: Introductionmentioning

confidence: 99%

Analysis of the Monitoring and Identification Effect of Cognitive Service Technology on Dc System in Power Grid

Xiaogang Wu

2024

jes

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This study investigates the impact of cognitive service technology on the monitoring and identification capabilities within a direct current (DC) system in a power grid. This paper introduces a novel Pattern Recognition Neural Network (PRNN) by integrating a Pattern Recognition Algorithm (PRA) and Convolutional Neural Networks (CNN) to analyse patterns in the DC system's data. With the increasing complexity and interconnectivity of modern power systems, the need for advanced monitoring and identification solutions becomes crucial. Cognitive service technology, known for its adaptability and learning capabilities, offers a promising avenue for enhancing the performance and reliability of DC systems. The research employs a comprehensive approach, incorporating data analysis, modelling, and simulation to assess the effectiveness of cognitive service technology in monitoring and identifying critical parameters within the DC system. The study aims to contribute valuable insights into the application of cognitive services for improving the overall efficiency and resilience of power grids operating on direct current, thereby fostering advancements in smart grid technologies

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Section: Introductionmentioning

confidence: 99%