Please use this identifier to cite or link to this item: https://idr.nitk.ac.in/jspui/handle/123456789/6865
Title: Uncertainty Modeling Steps for Probabilistic Steady-State Analysis
Authors: Rajanarayan, Prusty, B.
Jena, D.
Issue Date: 2019
Citation: Lecture Notes in Electrical Engineering, 2019, Vol.553, , pp.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.
URI: http://idr.nitk.ac.in/jspui/handle/123456789/6865
Appears in Collections:2. Conference Papers

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