Optimal Capacitor Placement in Distribution Systems using Improved Bacterial Foraging Algorithm

Salamatu A. Sani, G. Bakare, Y. S. Haruna, A. I. Isa, U. Musa
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引用次数: 3

Abstract

One of the major issues affecting the quality of electric power being delivered on the distribution system is power losses. To reduce the losses on distribution systems, one of the approaches considered is optimal siting and sizing capacitors on these systems. This paper presents Improved Bacterial Foraging Algorithm (IBFA) as an effective method to optimally site and size capacitors on radial distribution system (RDS) with the aim of minimizing power loss and improving the voltage profile. A simple load flow based on the Bus Injected to the Branch Current matrix (BIBC) technique is used and coded in a MATLAB environment. The approach effectiveness is demonstrated on a standard IEEE 33-bus RDS and a practical 50-bus Canteen feeder of Zaria system located in Nigeria. The proposed approach proved to be effective with improvement in the voltage profile to 38.67% and power loss reduction of 14.81% on the 33-bus system.
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基于改进细菌觅食算法的配电系统电容器优化配置
影响配电系统供电质量的主要问题之一是电力损耗。为了减少配电系统的损耗,考虑的方法之一是在这些系统上优化电容器的位置和尺寸。本文提出了一种改进的细菌觅食算法(IBFA)来优化径向配电系统中电容器的位置和尺寸,以达到减小功率损耗和改善电压分布的目的。基于总线注入支路电流矩阵(BIBC)技术的一个简单的负载流被使用并在MATLAB环境中编码。在标准的IEEE 33总线RDS和尼日利亚Zaria系统的实际50总线食堂馈线上验证了该方法的有效性。在33母线系统上,该方法被证明是有效的,电压分布改善了38.67%,功率损耗降低了14.81%。
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