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首页> 外文期刊>International Journal of Electrical Power & Energy Systems >A novel method based on adaptive cuckoo search for optimal network reconfiguration and distributed generation allocation in distribution network
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A novel method based on adaptive cuckoo search for optimal network reconfiguration and distributed generation allocation in distribution network

机译:基于自适应布谷鸟搜索的配电网最优网络重构和分布式发电分配的新方法

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This paper proposes a new methodology to optimize network topology and placement of distributed generation (DG) in distribution network with an objective of reduction real power loss and voltage stability enhancement. A meta-heuristic cuckoo search algorithm (CSA) inspired from the obligate brood parasitism of some cuckoo species which lay their eggs in the nests of other birds of other species for solving optimization problems is adapted to simultaneously reconfigure and identify the optimal location and size of DG units in a distribution network. The graph theory is used to determine the search space which reduces infeasible network configurations of reconfiguration process and check the radial constraint of each configuration of distribution network. The effectiveness of the proposed method has been validated on three different distribution network systems at seven different scenarios. The obtained results show well the effectiveness and performance of the proposed method in distribution network reconfiguration with optimal location and size of DG problems. (C) 2015 Elsevier Ltd. All rights reserved.
机译:本文提出了一种新的方法来优化配电网络中的网络拓扑和分布式发电(DG)的位置,以减少实际功耗和提高电压稳定性。元启发式布谷鸟搜索算法(CSA)受某些布谷鸟物种专心致志的寄生虫启发而生,它们将卵产于其他物种的其他鸟类的巢中,以解决优化问题,该方法适用于同时重新配置并确定其最佳位置和大小配电网络中的DG单位。使用图论来确定搜索空间,以减少重新配置过程中不可行的网络配置,并检查配电网每种配置的径向约束。该方法的有效性已在七个不同场景下的三个不同配电网络系统上得到验证。获得的结果很好地表明了该方法在配电网重构中具有最佳位置和分布式发电问题的有效性和性能。 (C)2015 Elsevier Ltd.保留所有权利。

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