Guanochanga Edison, Águila Alexander, Ortiz Leony
Carrera de Ingenieria Eléctrica, Universidad Politécnica Salesiana, Quito, Ecuador.
Heliyon. 2023 Feb 15;9(3):e13723. doi: 10.1016/j.heliyon.2023.e13723. eCollection 2023 Mar.
This work presents a methodology for the optimal reconfiguration of a distribution network in the presence of a failure, through a multicriteria optimization algorithm. For this purpose, the optimal network reconfiguration alternative is verified in the IEEE 33 bus test system and 123 bus test system. The variables analyzed within the multicriteria decision matrix include the total interruption time per nominal kVA installed (TITK), mean frequency of interruption per nominal kVA installed (MFIK), reset time for reconfiguration, energy not supplied, total losses in the lines of the system and operation and maintenance costs. The result enables selecting the best scenario based on analyzing every decision criterion; the multicriteria decision algorithm is developed in the Matlab environment. Subsequently, the winning reconfiguration alternatives are validated through simulations in Cymdist for different failure scenarios. In the analysis of results, metrics are presented that enable us to observe a significant improvement in the typical problems that occur in an electric system.
这项工作提出了一种在发生故障时通过多准则优化算法对配电网进行最优重构的方法。为此,在IEEE 33节点测试系统和123节点测试系统中验证了最优网络重构方案。多准则决策矩阵中分析的变量包括每安装千伏安额定容量的总中断时间(TITK)、每安装千伏安额定容量的平均中断频率(MFIK)、重构的复位时间、未供电能量、系统线路中的总损耗以及运维成本。结果能够基于对每个决策标准的分析来选择最佳方案;多准则决策算法是在Matlab环境中开发的。随后,通过在Cymdist中针对不同故障场景进行仿真,对胜出的重构方案进行验证。在结果分析中,给出了一些指标,使我们能够观察到电力系统中出现的典型问题有显著改善。