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首页> 外文期刊>Latin American Applied Research >MULTI-OBJECTIVE RECONFIGURATION OF A DISTRIBUTION SYSTEM INCLUDING PROBABILISTIC LOADS AND DISTRIBUTED GENERATIONS
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MULTI-OBJECTIVE RECONFIGURATION OF A DISTRIBUTION SYSTEM INCLUDING PROBABILISTIC LOADS AND DISTRIBUTED GENERATIONS

机译：包含概率负载和分布式发电的配电系统的多目标重构

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摘要

The present study suggests a method to reconfigure a 13-bus distribution system which includes probabilistic loads (PLs) and Distributed Generations (DGs). Reconfiguration is a specific process to determine the best configuration of networks. It is usually assumed that loads are constant, while we know that they have probabilistic nature and change regularly, the above mentioned facts were taken into account in the current study. Considering that 3 DGs (wind farms) have been added to the distribution system, the generation is also probabilistic depending on weather change. The "Sifting Algorithm" has been used for reconfiguration because it has a high accuracy and significant speed. The proposed method is simulated on a well-known distribution network. The achieved results were highly satisfactory and applicable.
机译：本研究提出了一种重新配置13总线配电系统的方法，该系统包括概率负荷（PLs）和分布式发电（DGs）。重新配置是确定网络最佳配置的特定过程。通常假设负载是恒定的，虽然我们知道它们具有概率性质并定期变化，但在当前研究中已考虑到上述事实。考虑到已将3个DG（风电场）添加到配电系统中，因此发电量也取决于天气变化的概率。 “筛选算法”已用于重新配置，因为它具有很高的准确性和显着的速度。所提出的方法是在众所周知的配电网络上模拟的。所取得的结果非常令人满意并且适用。

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