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

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.