Analysis of reliability aspects of wind power generation in Romania using Markov models

Abstract : Wind power has some characteristics that affect its integration into power systems: variability, unreliable accuracy of the output prediction, and the remote insertion into the network. A critical issue facing the integration of the wind power production is the reliable prediction of its contribution to meet the system's load demand. The authors propose to use tools specific for the reliability analysis of the systems, assuming discrete-time Markov processes, with a view to determine reliability index-type of characteristics for the wind power production.
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Virgil Dumbrava, Paul Ulmeanu, Mircea Scutariu, Cristian Lazaroiu, Philippe Duquenne. Analysis of reliability aspects of wind power generation in Romania using Markov models. IET Conference on Renewable Power Generation (RPG 2011), Sep 2011, Edinburgh, United Kingdom. pp. 1-5. ⟨hal-01772505⟩

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