Online coherence identification using dynamic time warping for controlled islanding
Autor: | Hasan Ul Banna, Zhe Yu, Di Shi, Zhiwei Wang, Dawei Su, Chunlei Xu, Sarika Khushalani Solanki, Jignesh M. Solanki |
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Jazyk: | angličtina |
Rok vydání: | 2018 |
Předmět: | |
Zdroj: | Journal of Modern Power Systems and Clean Energy, Vol 7, Iss 1, Pp 38-54 (2018) |
Druh dokumentu: | article |
ISSN: | 2196-5625 2196-5420 |
DOI: | 10.1007/s40565-018-0443-z |
Popis: | Abstract Controlled islanding is considered to be the last countermeasure to prevent a system-wide blackout in case of cascading failures. It splits the system into self-sustained islands to maintain transient stability at the expense of possible loss of load. Generator coherence identification is critical to controlled islanding scheme as it helps identify the optimal cut-set to maintain the transient stability of the post-islanding systems. This paper presents a novel approach for online generator coherency identification using phasor measurement unit (PMU) data and dynamic time warping (DTW). Results from the coherence identification are used to further cluster non-generator buses using spectral clustering with the objective of minimizing power flow disruptions. The proposed approach is validated and compared to existing methods on the IEEE 39-bus system and WECC 179-bus system, through which its advantages are demonstrated. |
Databáze: | Directory of Open Access Journals |
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