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dc.contributor.authorZhang, Yuchenen_US
dc.contributor.authorXu, Yanen_US
dc.contributor.authorBu, Siqien_US
dc.contributor.authorDong, Zhao Yangen_US
dc.contributor.authorZhang, Ruien_US
dc.identifier.citationZhang, Y., Xu, Y., Bu, S., Dong, Z. Y. & Zhang, R. (2019). Online power system dynamic security assessment with incomplete PMU measurements : a robust white-box model. IET Generation, Transmission and Distribution, 13(5), 662-668.
dc.description.abstractWith the development of synchronised measurement technique, online dynamic security assessment (DSA) is of great significance to prevent power system blackout. Recently, based on the phasor measurement unit (PMU) data, intelligent data-driven techniques have been rapidly developed for online DSA owing to their fast decision speed, less data requirement, and decision rule discovery ability. The interpretable decision rules provide useful information for preventive control and post-event auditing. However, in case of incomplete measurement events, such as PMU failure, communication loss, and phasor data concentrator failure, the accuracy and the transparency of the intelligent models can be significantly impaired by such incomplete data. To overcome this problem, this paper proposes a robust white-box model that can sustain DSA accuracy and survive the model interpretability and transparency against incomplete PMU data. The proposed model is tested on New England 39-bus system and demonstrates higher robustness over existing methods.en_US
dc.description.sponsorshipNanyang Technological Universityen_US
dc.relation.ispartofIET Generation, Transmission and Distributionen_US
dc.rights© 2018 The Institution of Engineering and Technology. All rights reserved.en_US
dc.subjectEngineering::Electrical and electronic engineeringen_US
dc.titleOnline power system dynamic security assessment with incomplete PMU measurements : a robust white-box modelen_US
dc.typeJournal Articleen
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.subject.keywordsPower System Securityen_US
dc.subject.keywordsPower System Reliabilityen_US
dc.description.acknowledgementThe work in this paper was supported in part by the ARC Discovery under Grant DP170103427, in part by the Tyree Foundation, and in part by the National Natural Science Foundation of China under Project 51807009 and 51777173. Y. Xu's work is supported by Nanyang Assistant Professorship from Nanyang Technological University, Singapore.en_US
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