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首页> 外文期刊>Bulletin of the Polish Academy of Sciences. Technical Sciences >Optimum placement of multi type DG units for loss reduction in a radial distribution system considering the distributed generation suitability index using evolutionary algorithms
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Optimum placement of multi type DG units for loss reduction in a radial distribution system considering the distributed generation suitability index using evolutionary algorithms

机译:考虑使用进化算法的分布式产生适用性指数的径向分布系统中的多型DG单元的最佳放置

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摘要

Due to the increasing need for electricity,insertion of distributed generation(DG)into a distribution system attracts the attention of the deregulated power market.Placing DG in the distribution system inherently reduces the power loss and improves the system voltage profile.The choice of DG,proper placement and sizing of DG all play a vital role.This paper presents an effective methodology to identify the optimum location of multi type DG in the distribution system.The particle swarm optimization(PSO)algorithm and differential evolution(DE)are applied to identify the proper location and size of DG using the distributed generation suitability index(DGSI).The optimum location of DG is identified through DGSI and optimum sizing is done by means of the power loss minimization technique using evolutionary algorithms.The effective power loss reduction and improved system voltage profile are evaluated using sixteen combinations of different types of DGs with the standard IEEE 33-bus test system.The results reveal that power loss reduction and voltage profile improvement are effectively addressed by the DE algorithm.
机译:由于电力需求的增加,将分布式发电(DG)引入配电系统引起了放松管制的电力市场的关注。在配电系统中放置DG本质上降低了功率损耗,改善了系统电压分布。DG的选择、正确的放置和大小都起着至关重要的作用。本文提出了一种确定配电系统中多类型分布式电源最佳位置的有效方法。采用粒子群优化(PSO)算法和差分进化(DE)算法,利用分布式发电适宜性指数(DGSI)确定分布式发电的合适位置和规模。通过DGSI确定DG的最佳位置,并通过使用进化算法的功率损耗最小化技术实现最佳尺寸。使用16种不同类型的DG组合和标准IEEE 33总线测试系统,评估了有效的功率损耗降低和改进的系统电压分布。结果表明,DE算法有效地降低了功率损耗,改善了电压分布。

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