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  • 标题:Rapid Scalable Distributed Power Flow with Open-Source Implementation
  • 本地全文:下载
  • 作者:Xinliang Dai ; Yichen Cai ; Yuning Jiang
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2022
  • 卷号:55
  • 期号:13
  • 页码:145-150
  • DOI:10.1016/j.ifacol.2022.07.250
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThis paper introduces a new method for solving the distributedacpower flow (pf) problem by further exploiting the problem formulation. We propose a new variant of thealadinalgorithm devised specifically for this type of problem. This new variant is characterized by using a reduced modelling method of the distributedac pfproblem, which is reformulated as a zero-residual least-squares problem with consensus constraints. Thispfis then solved by a Gauss-Newton based inexactaladinalgorithm presented in the paper. An open-source implementation of this algorithm, called rapidpf+, is provided. Simulation results, for which the power system's dimension varies from 53 to 10224 buses, show great potential of this combination in the aspects of both the computing time and scalability.
  • 关键词:KeywordsPower FlowLarge-scaleALADINDistributed Optimization
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