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Analysis On Equivalent Model Based On Clustering Of Wind Farms Group

Posted on:2017-05-18Degree:MasterType:Thesis
Country:ChinaCandidate:H XueFull Text:PDF
GTID:2272330488984475Subject:Control engineering
Abstract/Summary:PDF Full Text Request
with the dynamic development of wind power in China, the combination of wi nd turbines and large-scale network has an increasing impact on the power system. H owever, due to the lack of capacity of power peaking, inadequate distribution of line s and insufficient of transmission capacity and other reasons, limitation of power i n wind farms has become a major challenge to the development of wind power. Espe cially in severe restriction of power areas, certain wind turbine are often removed o f randomly, which result in the removal of some good performance wind turbine. Ba sed on the wind farm cluster modeling theory and the data of wind Farm Cluster gro uping and contour modeling research, Building a wind farm population dynamics mo del, providing the basis for grid scheduling and improving operating efficiency of w ind farm population, and reduce the unstable wind farm impact on power has an imp ortant significance.In this paper, a fast updating Clustering clustering method based on wind turbin e performance data is being researched. This method is to establish a wind farm grou p model through continuous rolling updating data, which makes the model more tim e-sensitive. Finally, comparing simulation analysis is used to test this method and en sure that the actual model output has a smaller error. Meanwhile, the selection of bet ter grid scheduling unit is to ensure the stability of the power grid.
Keywords/Search Tags:Clustering, clustering method, dynamic model, power grid, brownouts
PDF Full Text Request
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