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Distributed generation allocation based on average daily load and power production curves

机译:基于平均每日负荷和发电曲线的分布式发电分配

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摘要

For the last few decades the world has been witnessing a sudden increase of distributed energy resources penetrating into power systems of various countries. Since the distributed generation is in most countries stimulated by feed-in tariffs, the private sector has invested great resources into its development and research. However, a significant problem is how to regulate the inrush of distributed generation into once passive distribution power networks. In this paper the authors discuss the optimal allocation of three types of distributed generation units with a goal of minimizing cumulative average daily active power losses. Solar parks, wind farms and power stations that do not depend on an intermittent primary energy source are taken into consideration. Their power production and network loads are modeled with characteristic average daily electric production and consumption curves with discrete hour intervals. The problem was solved using genetic algorithm, and realized in Matlab programming environment.
机译:在过去的几十年中,世界见证了渗透到各个国家电力系统中的分布式能源的突然增加。由于分布式发电在大多数国家都受到上网电价补贴的刺激,因此私营部门已为其开发和研究投入了大量资源。然而,一个重要的问题是如何调节分布式发电涌入曾经是无源配电网络的浪潮。在本文中,作者讨论了三种类型的分布式发电单元的最佳分配,其目标是使累积的平均每日有功功率损耗最小。不考虑间歇性主要能源的太阳能公园,风电场和发电站也应考虑在内。利用具有离散小时间隔的特征性平均每日电力生产和消耗曲线来模拟其发电量和网络负荷。使用遗传算法解决了该问题,并在Matlab编程环境中实现。

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