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Evaluation of PV hosting capacity of distribuion grids considering a solar roof potential analysis — Comparison of different algorithms

机译:考虑太阳能屋顶电势分析的配电网光伏承载能力评估—不同算法的比较

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Increasing distributed photovoltaic (PV) systems can lead to overloading of grid assets and voltage violations at grid nodes, especially in distribution systems. This raises the necessity to consider the future growth of installed PV capacity for the mid- and long-term planning process of distribution system operators (DSOs). Considering solar roof potential analysis derived from an airborne light detection and ranging (LIDAR) mission, the evaluation of the hosting capacity of a given distribution grid can be improved. This paper compares different methods to allocate the future PV capacity based on such solar roof potential analysis at the distribution system level. Rule-Based methods are developed and compared with a probabilistic method, which is repeated several times as a Monte Carlo analysis, in order to define the allocation of PV power to grid nodes. The developed deterministic methods can provide DSOs with simple and reliable indication about the hosting capacity of PV and the need for grid reinforcement compared to other methods.
机译:分布式光伏(PV)系统的增加会导致电网资产超负荷和电网节点处的电压违规,尤其是在配电系统中。因此,有必要考虑配电系统运营商(DSO)的中长期规划过程中已安装PV容量的未来增长。考虑到从机载光检测和测距(LIDAR)任务获得的太阳能屋顶电势分析,可以改善对给定配电网承载能力的评估。本文基于配电系统一级的此类太阳能屋顶电势分析,比较了分配未来光伏容量的不同方法。制定了基于规则的方法,并将其与概率方法进行了比较,该概率方法作为蒙特卡洛分析重复了几次,以定义将PV功率分配给电网节点的方法。与其他方法相比,开发的确定性方法可以为DSO提供有关PV的承载能力以及对电网加固的需求的简单可靠的指示。

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