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  • 标题:Optimal Experiment Design for AC Power Systems Admittance Estimation
  • 本地全文:下载
  • 作者:Xu Du ; Alexander Engelmann ; Yuning Jiang
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2020
  • 卷号:53
  • 期号:2
  • 页码:13311-13316
  • DOI:10.1016/j.ifacol.2020.12.163
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThe integration of renewables into electrical grids calls for the development of tailored control schemes which in turn require reliable grid models. In many cases, the grid topology is known but the actual parameters are not exactly known. This paper proposes a new approach for online parameter estimation in power systems based on optimal experimental design using multiple measurement snapshots. In contrast to conventional approaches, our method computes optimal excitations extracting the maximum information in each estimation step to accelerate convergence. The performance of the proposed method is illustrated with a case study.
  • 关键词:KeywordsPower System Parameter EstimationOptimal Experiment Design
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