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Optimal penetration of renewable sources for distribution system performance improvement

机译:最佳渗透可再生资源,以改善配电系统的性能

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摘要

In recent years the integration of renewable energy sources to distribution system is gaining attention worldwide. However, the intermittent nature of renewable sources creates challenges in integration of Distributed Generation (DG) units. In this paper, a Genetic Algorithm (GA) based methodology has been proposed for optimal penetration of different types of renewable DG units in the distribution system for minimizing annual energy loss and improving the voltage profile considering the intermittent nature of renewable DG units and load. The simulation results verify the suitability of the proposed methodology for all operating scenarios.
机译:近年来,可再生能源与配电系统的集成正在全球范围内引起关注。但是,可再生能源的间歇性给分布式发电(DG)装置的集成带来了挑战。在本文中,提出了一种基于遗传算法(GA)的方法,可考虑到可再生DG装置和负载的间歇性,从而使配电系统中不同类型的可再生DG装置达到最佳渗透率,从而将年度能量损失降至最低并改善电压曲线。仿真结果验证了所提出的方法在所有操作场景下的适用性。

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