Distribution systems cost reduction based on switches upgrades: A stochastic approach

A Robust Renewable Energy Source-oriented Strategy for Smart Charging of Plug-in Electric Vehicles Considering Diverse Uncertainty Resources

“…In real-world power systems, the planning/operation process encounter with several economic/technical uncertainties. To model such uncertainty resources, the familiar probability distribution function (PDF) [9][10][11] for probabilistic approaches and fuzzy membership function [12][13][14] for possibilistic techniques have been recurrently employed in recent studies. Nevertheless, the PDF of the uncertain variables is not reachable or not appropriate for precise uncertainty modeling in most practical cases.…”

“…In this way, to ensure a reliable and robust decicison outputs hedged against the uncertain characteristics of the mentioned parameters, an efficient uncertainty modeling approach should be utilized. Generally speaking, the well-known probabilistic [9][10][11] and possibilistic methods [12][13][14] are usually observed in recent research works to model the various uncertainty resources. In the former, the probability distribution function (PDF) of the uncertain variables is mandatory while the latter characterize the uncertain resources via their membership function.…”