Perbaikan Tegangan Pada Jaringan Distribusi 20 Kv Melalui Penempatan Pembangkit Tersebar Berbasis Particle Swarm Optimization

Yulianda Rahman, Sitti Nuradha Wati S, Ratih Mar’atus Shalihah, Irwan Mahmudi
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Abstract

Voltage losses are problems that often occur in distribution systems, resulting in voltage drops to reduce the electrical power supplied to consumers. The allowable stress drop in the distribution is +5% and -10%. One way to overcome this is to place scattered power plants into account the given location and capacity (MW and MVar). In this study, optimization of generator placement using an effective method is Particle Swarm Optimization (PSO). PSO is an algorithm that implements problem understanding. The sequence of news generators is carried out by directing the selection of Gbest, which has a minimum voltage drop value by increasing the number of particles. Initial simulation using a power flow study run via Matlab and ETAP. The objective function of this optimization process is drop voltage minimization with contraint function is the power loss of each bus. The final simulation found the best generator locations on buses 7, 10, and 13. After optimization, the voltage increase was obtained by 4.05%, 9.05%, and 10.15% on each bus.
电压损失是配电系统中经常出现的问题,它会导致电压下降,从而减少向消费者提供的电力。许用应力降分布为+5%和-10%。解决这个问题的一种方法是根据给定的位置和容量(MW和MVar)来安置分散的发电厂。在本研究中,采用粒子群优化(PSO)方法对发电机的布局进行优化。粒子群算法是一种实现问题理解的算法。通过增加粒子数来指导选择具有最小电压降值的Gbest,从而实现新闻发生器的排序。通过Matlab和ETAP对潮流进行初步仿真。该优化过程的目标函数为降电压最小,约束函数为各母线的功率损耗。最后的模拟在总线7、10和13上找到了最佳的发电机位置。优化后,各母线电压分别提高4.05%、9.05%和10.15%。
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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