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Optimal sitting and sizing of capacitors for voltage enhancement of distribution systems

机译:优化分配电容器的尺寸和大小,以提高配电系统的电压

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This paper presents an optimal sizing and placement procedure for allocation the capacitors to enhance the operation of distribution systems. The choice of critical nodes that are necessary to install capacitors is dependent on loss sensitivity analysis. The sensitivity factors measure the variation of the system power losses in terms of the level of reactive power at variant nodes. The outcome of the suggested sensitivity index leads to determine the most suitable points for the installation of capacitors. Then, the ant colony optimization (ACO) algorithm is used to obtain the optimal sitting and sizing of fixed capacitors to enhance the economical and technical benefits of the distribution systems at lowest costs and improved voltage profile compared to the uncompensated systems. The load flow calculations are carried out using the backward/forward sweep (BFS) algorithm. Numerical applications are applied to standard test systems as 15-bus and 34-bus radial distribution systems. The obtained results prove the capability of the proposed placement strategy to allocate fixed capacitors with reduction of the system losses compared to the uncompensated one. Also, more economical solutions with saving in the operating generation costs are achieved. Moreover, comparative studies are introduced to prove the capability and competitive performance of the proposed method with those reported in the literature.
机译:本文提出了分配电容器的最佳尺寸和布局程序,以增强配电系统的运行。安装电容器所需的关键节点的选择取决于损耗灵敏度分析。灵敏度因子根据变型节点上的无功功率水平来衡量系统功率损耗的变化。建议的灵敏度指标的结果可确定最适合安装电容器的点。然后,使用蚁群优化(ACO)算法获得固定电容器的最佳放置和尺寸,以与无补偿系统相比以最低的成本和改进的电压曲线提高配电系统的经济和技术优势。潮流计算是使用后向/前向扫描(BFS)算法进行的。数值应用程序应用于标准测试系统,如15总线和34总线径向分配系统。获得的结果证明了所提出的布局策略能够分配固定电容器,与未补偿的电容器相比,能够减少系统损耗。而且,实现了节省运行发电成本的更经济的解决方案。此外,引入了比较研究以证明所提出的方法与文献中所报道的方法的能力和竞争性能。

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