Intelligent Early Warning of Power System Dynamic Insecurity Risk: Toward Optimal Accuracy-Earliness Tradeoff

Dynamic insecurity risk of a power system has been increasingly concerned due to the integration of stochastic renewable power sources (such as wind and solar power) and complicated demand response. In this paper, an intelligent early-warning system to achieve reliable online detection of risky oper...

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Veröffentlicht in:	IEEE transactions on industrial informatics Jg. 13; H. 5; S. 2544 - 2554
Hauptverfasser:	Zhang, Yuchen, Xu, Yan, Dong, Zhao Yang, Xu, Zhao, Wong, Kit Po
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 01.10.2017 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Accuracy Computational modeling Decision making Dynamic insecurity risk early warning Early warning systems Electronic mail extreme learning machine (ELM) intelligent system (IS) Mathematical programming multiobjective programming (MOP) Multiple objective analysis Neural networks On-line systems Power sources Power system dynamics Power system stability Randomness Reliability Solar generators Tradeoffs Training
ISSN:	1551-3203, 1941-0050
Online-Zugang:	Volltext
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