文章基本信息

标题：MVMO for Optimal Reconfiguration in Smart Distribution Systems
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作者：José L. Rueda ; Rosanna Loor ; István Erlich 等
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.