基于多目标粒子群算法的DG优化布局

Prakornchai Phonrattanasak
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引用次数: 42

摘要

在未来,分布式发电将在电力系统网络中发挥重要作用。如果用电量高,并网分布式发电是一个不错的选择。DG的位置对电网的影响是多方面的。本文将研究分布式发电在电网中的定位问题。利用多目标粒子群优化算法,提出了一种以系统整体经济成本和排放成本最小为目标的DG在电网中的最优配置方法。MPSO通过改变DG的位置和大小来最小化热单元的经济成本和排放。我们采用IEEE 30总线系统验证了所提出的方法。结果表明,所提出的方法在经济成本和环境污染成本最小的情况下,找到了DG的最优放置和尺寸。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal placement of DG using multiobjective particle swarm optimization
In the future, distributed generation (DG) will play important role in power system network. A grid-connected distributed generation can be a good proposition if consumption of electricity is high. The position of DG effects many ways on power system network. Finding position of DG on power system network will be developed in this paper. An optimal placement of DG on the power system network is proposed by using multiobjective particle swarm optimization (MPSO) to minimize economic and emission costs of overall system. The MPSO is used to minimize simultaneously economic cost and emission of thermal units by changing sitting and varying sizes of DG. We employ IEEE 30 bus system to verify the proposed method. The results show that the proposed method found the optimal sitting and sizing of DG with minimum cost of economic and environmental pollution.
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