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Uncertainty Modeling Steps for Probabilistic Steady-State Analysis
Published in Springer Verlag
2019
Volume: 553
   
Pages: 1169 - 1177
Abstract
This paper endeavors to deliver a detailed probabilistic uncertainty modeling approaches for power system planning and operation. The conventional uncertainty modeling approaches are reviewed, and the modeling challenges under large-scale integration of renewable generations are described. The modeling steps in various timescales (of the time horizons) for different applications are clarified inclusively. It is believed that the paper will help the novice readers in the probabilistic uncertainty modeling area. © 2019, Springer Nature Singapore Pte Ltd.
About the journal
JournalData powered by TypesetLecture Notes in Electrical Engineering
PublisherData powered by TypesetSpringer Verlag
ISSN18761100