One of the important directions of the current research trend in distribution network planning in the prevailing smart grid scenario, is to explore various possibilities to enhance the performance of these networks without expanding the existing infrastructure. This paper proposes an enhanced sine–cosine algorithm (ESCA) to obtain an optimally planned system by simultaneous incorporation of network reconfiguration (NR) and DG allocation. In the proposed algorithm, the SCA is enhanced with neighborhood search strategy and self-adapting levy mutation strategy to ensure proper balance between exploration and exploitation during different reconfiguration phases. A multi-objective function is formulated considering the reduction of total real power loss and annual operation costs with suitable weights without violating the system operating constraints. The proposed algorithm is successfully experimented on 33- and 69-bus distribution system with four distinct scenarios of NR and DG allocation, and its performance assessment is based on technical (total system active power loss index, overall voltage stability index and voltage profile improvement index), economic (total system operation cost index) and reliability (expected energy not supplied index) indices. As the computation of reliability index adds complexity to the problem, a graph theory-based algorithm is proposed for its accurate calculation. The obtained results showed the effectiveness of ESCA for solving simultaneous NR and DG allocation problem over other competitive algorithms, and its robustness is confirmed through a detailed statistical analysis such as plotting of box plots, normality checking and two nonparametric tests, namely Friedman ANOVA and Wilcoxon signed rank tests.

在流行的智能电网场景中，当前配电网络规划研究趋势的重要方向之一是探索各种可能性，以在不扩展现有基础设施的情况下提高这些网络的性能。本文提出了一种增强的正弦余弦算法（ESCA），通过同时合并网络重新配置（NR）和DG分配来获得最优规划的系统。在所提出的算法中，通过邻域搜索策略和自适应征税突变策略增强了SCA，以确保在不同重构阶段的勘探与开发之间达到适当的平衡。考虑到在不违反系统运行约束的前提下，以适当的权重考虑了总的有功损耗和年度运行成本的降低，制定了一个多目标函数。该算法在NR和DG四种不同分配情况下的33总线和69总线配电系统上成功进行了实验，其性能评估基于技术指标（系统总有功损耗指标，总体电压稳定性指标和电压分布改善指标） ），经济指标（系统总运行成本指标）和可靠性指标（未提供预期能源指标）。由于可靠性指标的计算增加了问题的复杂性，因此提出了一种基于图论的算法进行精确计算。获得的结果表明，ESCA比其他竞争算法更有效地解决了NR和DG的同时分配问题，并且通过详细的统计分析（例如箱形图的绘制，正态性检查和两个非参数测试）证实了其鲁棒性。