文章基本信息

标题：Modelling of Active Distribution Networks for Power System Restoration Studies
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作者：Gustav Lammert ; Alexander Klingmann ; Christian Hachmann 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2018
卷号：51
期号：28
页码：558-563
DOI：10.1016/j.ifacol.2018.11.762
语种：English
出版社：Elsevier
摘要：AbstractThis paper presents an aggregated model of Active Distribution Networks (ADNs) appropriate for power system restoration studies. The ADN considers aggregated loads and inverter based generation, such as wind and photovoltaic generation. The load model incorporates: i) time series data for consumption; ii) voltage and frequency dependency; iii) under frequency load shedding; iv) disconnection behavior; and v) cold load pick-up. The generation model considers: i) time series data for generation; ii) over frequency active power reduction; iii) disconnection; and iv) reconnection behavior. The ADN model covers dynamic phenomena in the time scale of tens of seconds up to several minutes with the focus on frequency dynamics. Moreover, the model was tested in several case studies and shows adequate dynamic behavior.
关键词：KeywordsUnder frequency load sheddingblackoutcold load pick-upblack startisland operationfrequency controldynamic equivalentaggregationinverter based generation