Abstract This paper presents a new network reconfiguration (NR) method using enhanced binary cuckoo search algorithm (EBCSA) to reduce power loss in the distribution system. Enhanced binary cuckoo search algorithm (EBCSA) is developed by transferring the continuous cuckoo search algorithm (CSA) to the binary domain and adding a new local search mechanism. Calculation results on different test systems demonstrate that EBCSA has capability for searching the optimal network configuration with greater success rate, better optimal solution quality and smaller number of average convergence iterations than those of binary CSA, binary coyote optimization algorithm, binary genetic algorithm and binary particle swarm optimization. Furthermore, the effect of the transfer function transferring from continuous domain to binary domain and the value of the parameters of EBCSA for the NR problem are also evaluated to choose the suitable values. The results show that EBCSA is a tool worth considering for the NR problem.

中文翻译：

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基于增强型二值布谷鸟搜索算法的配电网配置优化降低功率损耗

摘要 本文提出了一种新的网络重构（NR）方法，使用增强型二进制布谷鸟搜索算法（EBCSA）来减少配电系统的功率损耗。增强型二分布谷鸟搜索算法（EBCSA）是通过将连续布谷鸟搜索算法（CSA）转移到二元域并添加新的局部搜索机制而开发的。在不同测试系统上的计算结果表明，与二元CSA、二元土狼优化算法、二元遗传算法和二元粒子相比，EBCSA能够以更高的成功率、更好的最优解质量和更少的平均收敛迭代次数搜索最优网络配置群优化。此外，还评估了从连续域到二元域的传递函数的影响以及针对 NR 问题的 EBCSA 参数值，以选择合适的值。结果表明，EBCSA 是一个值得考虑的解决 NR 问题的工具。