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  • 标题:MVMO for Optimal Reconfiguration in Smart Distribution Systems
  • 本地全文:下载
  • 作者:José L. Rueda ; Rosanna Loor ; István Erlich
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2015
  • 卷号:48
  • 期号:30
  • 页码:276-281
  • DOI:10.1016/j.ifacol.2015.12.390
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThis paper introduces an approach based on the mean-variance mapping optimization algorithm (MVMO) to solve the optimal reconfiguration of radial distribution systems (ORRDS). MVMO is an emerging evolutionary algorithm, whose search procedure performs within a normalized range of the search space for all optimization variables, and by following either a single parent-offspring pair or a population based procedure. Remarkably, its main trait resides in the use of a special mapping function for mutation operation, which allows a controlled shift from exploration priority at early stages of the search process to exploitation at later stages. Numerical tests on the IEEE 33-bus test system, including performance comparison with other state-of-art algorithms, show the effectiveness of the MVMO-based approach to get the optimal switching combination in the network which results in total minimum active power losses.
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