LV配电网屋顶PV系统承载能力的量化
Quantifying Hosting Capacity for Rooftop PV System in LV Distribution Grids
摘要：
电力系统由于分布式发电机（DG）的广泛使用而面临着越来越多的可靠运行挑战，屋顶光伏系统在低压（LV）配电网。表征托管容量（HC）对于评估电网在升级之前可以容纳的分布式发电总量至关重要。对于HC的分析，一些方法进行了大量的模拟，缺乏理论保证，可以费时。因此，还存在对所有必要的操作约束进行优化的方法。但是，复杂性和固有的非凸性导致非最优解。针对这些问题，本文提出了一种HC测定的构造性模型。在几何上获得全局最优HC的基础上，根据实际约束条件依次构造HC解，使得在非凸模型下也能获得最优解。在实际应用中，考虑了三相不平衡条件和并行计算以提高计算速度。我们验证了我们的方法通过广泛的IEEE标准系统的数值结果，如8总线和123总线的径向配电网，其中获得的全局最优值和性能说明。
英文摘要：
Power systems face increasing challenges on reliable operations due to the widespread distributed generators (DGs), e.g., rooftop PV system in the low voltage (LV) distribution grids. Characterizing the hosting capacity (HC) is vital for assessing the total amount of distributed generations that a grid can hold before upgrading. For analyzing HC, some methods conduct extensive simulations, lacking theoretical guarantees and can time-consuming. Therefore, there are also methods employing optimization over all necessary operation constraints. But, the complexity and inherent non-convexity lead to non-optimal solutions. To solve these problems, this paper provides a constructive model for HC determination. Based on geometrically obtained globally optimal HC, we construct HC solutions sequentially according to realistic constraints, so that we can obtain optimal solution even with non-convex model. For practical adaption, we also consider three-phase unbalance condition and parallel computation to speed-up. We validated our method by extensive numerical results on IEEE standard systems, such as 8-bus and 123-bus radial distribution grids, where the global optimums are obtained and performance illustrations are demonstrated.
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