Multi-Objective Optimal Siting & Location Of Multiple Dgs In Distribution Network Using Biogeography Based Optimization (BBO)

Madhu Valavala
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Abstract

Transmission and distribution networks transport electricity from generating plants to consumers. Losses in the distribution system will have an impact on the system's efficacy. Every radial distributed network requires actual and reactive power loss calculations. The true power loss is extremely important in determining the system's performance. The importance of distributed generation location in minimizing real power loss cannot be overstated. Voltage profiles have to be improved as well. To reduce the real power loss, numerous optimization strategies for the placement and sizing of DG are being developed. In this research, Biogeography Based Optimization is used to improve the sizing and positioning of DG in order to reduce real power loss. The MATLAB platform is used to examine the results in order to determine the multi-objective parameters. To support the proposed method, the results were compared to that of other algorithms.
基于生物地理优化(BBO)的配电网中多个dg的多目标优化选址
输配电网络将电力从发电厂输送到消费者手中。配电系统的损失将影响系统的效能。每个径向分布式电网都需要计算实际和无功功率损耗。实际功率损耗在决定系统性能方面是极其重要的。分布式发电位置在减少实际功率损耗方面的重要性怎么强调都不为过。电压分布也必须得到改进。为了减少实际功率损耗,人们正在开发许多DG放置和尺寸的优化策略。在本研究中,采用基于生物地理学的优化方法来改进DG的尺寸和定位,以减少实际功率损耗。利用MATLAB平台对结果进行检验,确定多目标参数。为了支持所提出的方法,将结果与其他算法进行了比较。
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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