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Allocation and Optimal Sizing of Flexible Capacitor Banks for the Minimization of Active Power Losses in Long Unbalanced Rural Medium Voltage Distribution Feeders using Heuristic Algorithms

机译:柔性电容器组的分配和最优尺寸使用启发式算法,长不平衡农村中压配送器中的有源功率损耗最小化

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This article explores a heuristic based optimization methodology for power loss reduction and the voltage profile improvement in a medium voltage distribution network. The objective function provides minimum values for the power losses using three-phase capacitor banks located and dimensioned throughout the distribution network. This location and dimensioning were carried out using two heuristic methods: ant colony and genetic optimization algorithms. These algorithms involve determining which capacitor bank might be installed in a specific bus; under these conditions, the losses are optimized. Such heuristic optimization methods were tested in three distribution networks with radial topology to show feasibility of the methodology: the IEEE 33-bus and the IEEE 69-bus, and the long unbalanced rural Medium Voltage feeder Piñal of CNEL Guayas-Rios (Ecuador). The results show significant power losses reductions, especially in the IEEE model networks and moderate power losses reductions in Piñal. The proposed approach permits the flexible optimization variables that are represented in their natural form.
机译:本文探讨了基于启发式的优化方法,用于减少功率损耗和中压配电网中的电压轮廓改进。目标函数使用定位的三相电容器组提供功率损耗的最小值,并在整个分发网络中尺寸。使用两种启发式方法进行该位置和尺寸:蚁群和遗传优化算法。这些算法涉及确定哪些电容器组可能安装在特定总线中;在这些条件下,损失是优化的。这种启发式优化方法在具有径向拓扑的三个分配网络中测试,以显示方法的可行性:IEEE 33公交车和IEEE 69总线,以及Clnel Guayas-Rios(厄瓜多尔)的长不平衡的农村中型电压饲料Piñal。结果表明,在IEEE模型网络中减少了显着的功率损失,尤其是在IEEE模型网络中和中等功率损失降低了piñal。该方法允许以自然形式表示的灵活优化变量。

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