Generalized approach to assess and characterise the impact of solar PV on LV networks

Generalized approach to assess and characterise the impact of solar PV on LV networks
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DOI:
10.1016/j.ijepes.2020.106058
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发表时间:
2020-10-01
影响因子:
5.2
通讯作者:
Pasupuleti, Jagadeesh
Pasupuleti, Jagadeesh
中科院分区:
工程技术2区
文献类型:
--
作者:
Almeida, Dilini;Abeysinghe, Sathsara;Pasupuleti, Jagadeesh

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许多分析太阳能光伏(PV)对低压配电网(lvdn)影响的研究都是基于样本网络或合成网络,如IEEE测试用例。因此,在这些研究中得出的结论往往是特定于研究案例的,限制了它们的泛化适用性。本文提出了一种方法,可以生成大量的网络拓扑结构,这些网络拓扑结构与现有网络的选定队列具有统计上相似的特征。此外,利用蒙特卡罗技术的随机评估来分析太阳能PV对生成的LVDN模型的影响。对10个在统计上与现有城市网络相似的网络进行了个案研究,以便进行更广泛的研究。每个网络总共进行了1000次蒙特卡罗模拟,以准确识别最具代表性的参数,这些参数反映了所考虑的LVDN队列中的电压上升和电压不平衡。通过案例分析,确定了光伏发电容量动量和平均绝对偏差两个参数作为最具代表性的参数,分析了电压上升和电压不平衡因素的影响。然后,基于这两个参数导出了一个广义框架,以确定光伏连接对选定的网络队列的影响。该框架为公用事业供应商提供了一个有效的过程,以确定合并新的光伏连接的影响,而无需进行广泛的研究。
Many of the studies which analyse the impact of solar photovoltaic (PV) on low voltage distribution networks (LVDNs) are based on sample networks or synthetic networks such as IEEE test cases. Therefore, the conclusions drawn in these studies are often specific to the study cases, limiting their applicability for generalization. This paper proposes a methodology that can generate a multitude of network topologies that have statistically similar characteristics to a selected cohort of existing networks. Furthermore, a stochastic evaluation based on the Monte Carlo technique is utilized to analyse the impacts of solar PV on generated LVDN models. A case study was conducted on ten networks that were generated statistically similar to existing urban networks to allow for a more generalized study. A total of 1000 Monte Carlo simulations for each network was carried out to accurately identify the most representative parameters that reflect the voltage rise and voltage unbalance in the considered LVDN cohort. Two parameters, namely: the momentum of the PV capacity and the mean absolute deviation, were identified from the case studies as the most representative parameters to analyse the impact of voltage rise and voltage unbalance factor. Thereafter a generalized framework based on these two parameters was derived to determine the impact of PV connections to the selected cohort of networks. This framework facilitates an efficient process for the utility supplier to determine the impact of incorporating new PV connections without the need for extensive studies.