Optimal Distribution Networks Reconfiguration for Loss Reduction Via Black Widow Optimizer

Hany S. E. Mansour, B. E. Elnaghi, M. Abd-Alwahab, M. Ismail
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Abstract

In distribution systems, applying the network reconfiguration (NR) technique can cause losses reduction, reliability enrichment, voltage profile improvement, and some other economic benefits. In this paper, the NR technique is developed as an optimization problem. The main aim is to determine the optimum configuration of the system which attains the objective function with realization the operational constraints. The black widow optimizer (BWO) is a novel stochastic optimization approach that is suggested for solving this problem. The objective function is formulated to achieve the maximum annual economic revenue that results from the reduction in energy loss. In addition, the backward/forward sweep method is utilized for the power flow solutions. The suggested approach is applied on two test networks; IEEE 33 and 69-node. The attained findings are gained via the Matlab programming environment. They revealed that the suggested approach is efficient and able to achieve the maximum annual economic revenue. Finally, the superiority of the introduced BWO algorithm is also confirmed by comparing its findings with other optimization techniques.
基于黑寡妇优化器的配电网络优化配置
在配电系统中,应用网络重构技术可以减少损耗、提高可靠性、改善电压分布等经济效益。本文将NR技术作为一个优化问题来研究。其主要目的是在实现运行约束的情况下,确定达到目标函数的系统最优配置。黑寡妇优化器(BWO)是为解决这一问题而提出的一种新的随机优化方法。目标函数的制定是为了实现减少能量损失所带来的最大的年经济收益。此外,潮流求解采用了前向/后向扫描方法。该方法在两个测试网络上得到了应用;IEEE 33和69节点。通过Matlab编程环境获得了所得结果。他们透露,建议的方法是有效的,能够实现最大的年度经济收入。最后,通过与其他优化技术的比较,验证了所引入的BWO算法的优越性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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