DSTATCOM和DG单元多目标同时优化配置的改进共生生物搜索算法

2021 International Conference in Advances in Power, Signal, and Information Technology (APSIT) Pub Date : 2021-10-08 DOI:10.1109/APSIT52773.2021.9641337

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

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引用次数: 1

摘要

本文提出了一种改进的基于对立学习和自适应混沌局部搜索策略的共生生物搜索(SOS)算法，用于配电网中多个dstacom和不同类型DG机组的同时优化分配，以最大限度地减少功率损耗，改善电压分布，提高电压稳定裕度。将改进的共生生物搜索算法与原有的共生生物搜索算法在33总线测试配电系统中的性能进行了比较。

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An Improved Symbiotic Organisms Search Algorithm for Multi-objective Simultaneous Optimal Allocation of DSTATCOM and DG Units

This paper proposes an improved version of the Symbiotic Organisms Search (SOS) algorithm based on oppositional learning and adaptive chaotic local search strategy for simultaneous optimal allocation of multiple DSTACOMs and different types of DG units in an electric distribution network to minimize power loss, improve the voltage profiles and enhance voltage stability margin. The performance of the improved Symbiotic Organisms Search algorithm and the original Symbiotic Organism Search algorithms are compared applying these for a 33-bus test distribution system.

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

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