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.
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Rajanarayan Prusty, B., Jena, D. (2019). Uncertainty Modeling Steps for Probabilistic Steady-State Analysis. In: Mishra, S., Sood, Y., Tomar, A. (eds) Applications of Computing, Automation and Wireless Systems in Electrical Engineering. Lecture Notes in Electrical Engineering, vol 553. Springer, Singapore. https://doi.org/10.1007/978-981-13-6772-4_102
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DOI: https://doi.org/10.1007/978-981-13-6772-4_102
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