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Speeding-up network reconfiguration by minimum cost maximum flow based branch exchanges

机译:通过最低成本,最大流量的分支交换加快网络重新配置

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We propose a novel and efficient heuristic algorithm for solving the distribution network reconfiguration problem for loss reduction. We formulate the problem of finding incremental branch exchanges as a minimum cost maximum flow (MCMF) problem. This novel approach finds the best set of concurrent branch exchanges during each iteration of the algorithm and leads to larger loss reductions and a reduced number of iterations, hence significantly reducing the computational runtime. Experiments using distribution systems with sizes of up to 10476 buses demonstrate that the proposed technique leads to an average speed-up of 2.3x with similar or better solution quality compared to the Baran's reconfiguration technique [32].
机译:我们提出了一种新颖有效的启发式算法来解决配电网重构问题,以减少损失。我们将寻找增量分支交换的问题公式化为最小成本最大流量(MCMF)问题。这种新颖的方法在算法的每次迭代过程中找到了最佳的并发分支交换集,并导致更大的损失减少和更少的迭代次数,从而显着减少了计算时间。使用具有多达10476条总线的配电系统进行的实验表明,与Baran的重新配置技术相比,所提出的技术可以使平均速度提高2.3倍,而解决方案的质量则相似或更高[32]。

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