Renewable Energy Resources (RERs) are a promising source of energy with hardly any pollution. Due to the intermittent nature from the output power of the nondispatchable RER and the load variations in the distribution network, it is important to frequently perform Network Reconfiguration (NR) to minimize the power loss and improve the network's voltage profile. Finding the optimal NR while simultaneously considering the dispatchable RER integration is important but challenging because of the complex combinational nature of the problem, and therefore, it is commonly solved by meta-heuristic techniques. However, the conventional meta-heuristic techniques involve random initializations and normally generate many nonfeasible solutions, which obstruct the search process. With the aim of improving the accuracy and consistency of the solution, this study proposes a two-stage method using biogeography-based optimization to attain the NR simultaneously with the RER placement and sizing for the sake of minimizing power loss and voltage deviation. The first stage simplifies the distribution network and then utilizes the simplified form to provide a better set of initial solutions and to maintain the network radiality. Thereafter, the second stage finds the final NR and RER locations and sizes. The simulations are carried out on 33-bus, 69-bus, and 118-bus systems, and the results are compared with previously published methods and some well-known optimization methods. In addition, load variations and RER's uncertainty are also considered. The obtained results show that the proposed method outperforms the existing methods. The results also indicate the significance of the hourly NR in reducing power loss.

中文翻译：

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一种使用基于生物地理学的优化同时进行网络重构和可再生能源整合的两阶段方法

可再生能源 (RER) 是一种很有前途的能源，几乎没有任何污染。由于不可调度 RER 的输出功率和配电网络中的负载变化具有间歇性，因此经常执行网络重新配置 (NR) 以最大程度地减少功率损耗并改善网络电压分布非常重要。在同时考虑可调度 RER 集成的同时找到最佳 NR 很重要，但由于问题的复杂组合性质而具有挑战性，因此，通常通过元启发式技术来解决。然而，传统的元启发式技术涉及随机初始化并且通常会生成许多不可行的解决方案，这阻碍了搜索过程。以提高解的准确性和一致性为目的，本研究提出了一种使用基于生物地理学的优化的两阶段方法，以在 RER 放置和尺寸调整的同时获得 NR，以最大限度地减少功率损耗和电压偏差。第一阶段简化配电网络，然后利用简化形式提供一组更好的初始解决方案并保持网络径向。此后，第二阶段找到最终的 NR 和 RER 位置和大小。在 33 总线、69 总线和 118 总线系统上进行了仿真，并将结果与​​以前发表的方法和一些众所周知的优化方法进行了比较。此外，还考虑了负载变化和 RER 的不确定性。获得的结果表明，所提出的方法优于现有方法。