Optimal placement of DG using Swarm intelligence approach in distributed network: Status & challenges

N. Chakraborty, Subhadip Chandra, A. Banerji, S. Biswas
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Abstract

In recent years, the significance of distributed generation has increased rapidly in distribution system. The prominent goal of DG placement is to measure the optimized location, type and sizes of DGs for getting best efficiency by maximizing or minimizing different constraints. This work investigates the recent research in the field of Swarm intelligence based optimal DG placement. Swarm intelligence is mainly categorized into Ant Colony Optimization & Particle Swarm Optimization. To get optimal solution, various researchers considers different constraints to get their solution. This article surveys those research works showing recent trends of Optimal DG Placement using Ant Colony Optimization & Particle Swarm Optimization.
分布式网络中基于群智能的DG优化配置:现状与挑战
近年来,分布式发电在配电系统中的重要性迅速提高。DG放置的突出目标是衡量DG的优化位置、类型和尺寸,通过最大化或最小化不同的约束来获得最佳的效率。本文对近年来基于群体智能的最优DG布局研究进行了综述。群体智能主要分为蚁群优化和粒子群优化。为了得到最优解,研究者们考虑了不同的约束条件。本文综述了蚁群算法和粒子群算法在DG优化配置方面的最新研究进展。
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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