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Capacitor placement in distribution systems for power loss reduction and voltage improvement: a new methodology

机译:在配电系统中放置电容器以减少功率损耗和改善电压:一种新方法

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摘要

For compensating reactive power, shunt capacitors are often installed in electrical distribution networks. Consequently, in such systems, power loss reduces, voltage profile improves and feeder capacity releases. However, finding optimal size and location of capacitors in distribution networks is a complex combinatorial optimisation problem. In such problem, an objective function which is usually defined based on power losses and capacitor installation costs should be minimised subject to operational limitations. In this study, a newly developed metaheuristic technique, named crow search algorithm (CSA), is proposed for finding the optimal placement of the capacitors in a distribution network. CSA is a population-based technique inspired by the greedy behaviour of crows in finding better food sources. The main reasons of using CSA are its easy implementation, few parameters to adjust, fast convergence speed and high efficiency. In the case studies, simulated results indicate that the proposed CSA produces more accurate results than the other studied search methods.
机译:为了补偿无功功率,通常在配电网络中安装并联电容器。因此,在这样的系统中,功率损耗减少,电压分布改善,馈线容量释放。然而,在配电网中寻找电容器的最佳尺寸和位置是一个复杂的组合优化问题。在这样的问题中,通常应基于功率损耗和电容器安装成本来定义目标函数,这要受操作限制的影响最小。在这项研究中,提出了一种新开发的元启发式技术,称为乌鸦搜索算法(CSA),用于寻找配电网中电容器的最佳位置。 CSA是一项基于人群的技术,受到乌鸦寻找更好食物来源的贪婪行为的启发。使用CSA的主要原因是其易于实施,调整参数少,收敛速度快和效率高。在案例研究中,模拟结果表明,提出的CSA比其他研究的搜索方法产生的结果更准确。

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