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pro vyhledávání: '"Zhenglong Sun"'
Autor:
Zhenglong Sun, Machlev Ram, Chao Jiang, Qianchao Wang, Perl Michael, Belikov Juri, Levron Yoash
Publikováno v:
Energy Reports, Vol 9, Iss , Pp 397-413 (2023)
Accurate and fast classification of FDEs is crucial to power systems situation awareness and stability control. However, various database used in recent studies makes it hard to directly compare different classification methods. To relieve the lack o
Externí odkaz:
https://doaj.org/article/fa8233e7255948f599e26a1cd5730f8b
Publikováno v:
Energy Reports, Vol 9, Iss , Pp 510-517 (2023)
With the wide application of information and communication technology in power grids, the integration and collaboration of information networks and physical grid have become an essential feature of the smart grid, constituting a typical power informa
Externí odkaz:
https://doaj.org/article/90af7980c3ee4334b3720bce123a89c9
Publikováno v:
Energy Reports, Vol 9, Iss , Pp 434-443 (2023)
Traditional event-driven emergency load shedding determines the quantitative strategy by simulation of a specific set of expected faults, which requires high model accuracy and operation mode matching. However, due to the model complexity of renewabl
Externí odkaz:
https://doaj.org/article/d5cde57309724fe6842e20c19c8d9ab2
Publikováno v:
Energy and AI, Vol 14, Iss , Pp 100274- (2023)
In the last two decades, motor operation monitoring tools have become a necessity, and many studies focus on the detection and diagnosis of motor electrical faults. However, at present, a core obstacle that prevents the direct comparison of such clas
Externí odkaz:
https://doaj.org/article/8923eb7ca0ed464785af048f2b0b5962