基于改进共生生物搜索算法的配电网DSTATCOM单元优化配置

2021 International Conference in Advances in Power, Signal, and Information Technology (APSIT) Pub Date : 2021-10-08 DOI:10.1109/APSIT52773.2021.9641495

S. Dash, S. Mishra, Usharani Raut, A. Abdelaziz

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引用次数: 1

摘要

本文利用各种提出的改进版本的共生生物搜索(SOS)算法来优化分配配电网络中的dstacom，以最大限度地减少功率损耗并改善电压分布。将改进的三种共生生物搜索算法与原有的共生生物搜索算法进行性能比较，并将其应用于一个69总线测试配电系统中，以最优地选择1、2和3个数的dstatcom。统计分析结果证实了改进SOS的稳健性。

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Optimal Allocation of DSTATCOM Units in Electric Distribution Network Using Improved Symbiotic Organisms Search Algorithms

This paper utilizes various proposed improved versions of the Symbiotic Organisms Search (SOS) algorithm to optimally allocate DSTACOMs in an electric distribution network to minimize power loss and to improve the voltage profiles. The performances of the three improved Symbiotic Organisms Search algorithms and the original Symbiotic Organism Search algorithm are compared applying these for a 69-bus test distribution system to optimally select one, two and three numbers of DSTATCOMs. Statistical analysis of the results establishes the robustness of the proposed improved SOS.

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来源期刊

2021 International Conference in Advances in Power, Signal, and Information Technology (APSIT)

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