文章基本信息

标题：Rapid Scalable Distributed Power Flow with Open-Source Implementation
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作者：Xinliang Dai ; Yichen Cai ; Yuning Jiang 等
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