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Title:A MARKOVIAN APPROACH FOR WIND POWER FORECASTING TO SUPPORT OPTIMIZATION ALGORITHMS FOR RISK-SENSITIVE, MULTI-TIME STAGE FORWARD ENERGY PROCUREMENT PROBLEMS IN POWER GRIDS
Author(s):Khandelwal, Divyam
Contributor(s):Bose, Subhonmesh
Degree:B.S. (bachelor's)
Genre:Thesis
Subject(s):Wind-power forecasting
Energy Procurement
Economic Dispatch
Power Grids
Abstract:In this paper, a data-driven Markov chain model is used to provide short-term forecasts of power generation in wind farms. The probabilistic distributions generated from the model are then integrated in a risk-sensitive, forward energy procurement problem with the incorporation of uncertain wind generation that penalizes costs and constraint violations, forming the basis for performing risk-sensitive economic dispatch on power networks. This allows a system operator to model her tolerance to high uncertain costs and constraint violations.
Issue Date:2019-12
Genre:Dissertation / Thesis
Type:Text
Language:English
URI:http://hdl.handle.net/2142/106021
Date Available in IDEALS:2020-01-09


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