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Increasing the hosting capacity for renewable energy in distribution networks

机译:增加配电网络中可再生能源的托管能力

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Environmental concerns and the need to decarbonize the supply side of power systems are spurring the integration of renewable energy sources (RES). Consequently, an unprecedented increase of RES, particularly photovoltaic (PV) systems, has been observed in distribution grids. However, PV generation is weather-driven, and therefore its power production peak does not necessarily coincide with the peak demand. Therefore, large amounts of cheap renewable generation are usually spilled. This paper proposes a method for optimal allocation and sizing of energy storage systems (ESSs) to increase hosting capacity of PV generation in distribution networks. Moreover, network reinforcement and capacitor bank allocation are also considered. The problem is modeled using stochastic mixed-integer linear programming in which PV generation and demand are represented via scenarios. A 20-node test system is used to demonstrate the effectiveness of the proposed approach and to analyze the role of ESSs to improve the hosting capacity of RES.
机译:对环境的关注以及对电力系统供应方进行脱碳的需求正在刺激可再生能源(RES)的整合。因此,在配电网中观察到了RES的空前增长,特别是光伏(PV)系统。但是,光伏发电是由天气驱动的,因此其发电高峰不一定与高峰需求一致。因此,通常会大量泄漏廉价的可再生能源发电。本文提出了一种优化储能系统(ESS)分配和规模确定的方法,以提高配电网中光伏发电的承载能力。此外,还考虑了网络加固和电容器组分配。使用随机混合整数线性规划对问题进行建模,其中通过情景表示光伏发电和需求。一个20节点的测试系统用于证明所提出的方法的有效性,并分析ESS的作用,以提高RES的承载能力。

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