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Updated Typical Daily Load Profiles for LV Distribution Networks Customers

机译:为LV配电网客户更新了典型的每日负荷曲线

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The evolution of power systems, especially at the distribution level for the increasing diffusion of new energy sources and new loads, makes urgent the need of updated models of the electrical behavior of LV customers. For this purpose, time series of consumption and generation have to be properly modeled to represent for instance, among the other goals, the impact of demand coincidence and of generation-load homotheticity. Despite the increasing diffusion of Smart Meters that could be used for producing more accurate and updated models, the current load profiling practices, neglect the actual variability among consumption habits of customers belonging to the same category. This paper proposes a method for clustering load profiles of LV customers, derived from two recent measurement campaigns in Italy, with the aim of finding updated typical load profile curves for different category of LV customers can be used in planning and operation studies. The comparison of the results obtained by applying the method to two available databases has been discussed.
机译:电力系统的发展,特别是在配电水平上,随着新能源和新负载的不断扩散,迫切需要更新LV客户电气行为的模型。为此,必须对消费和发电的时间序列进行适当建模,以代表例如其他目标,如需求重合和发电负荷同质性的影响。尽管可以用于生成更准确和更新的模型的智能电表越来越多地普及,但是当前的负载配置文件实践却忽略了同一类别客户的消费习惯之间的实际差异。本文提出了一种从意大利最近的两次测量活动中得出的,对低压客户的负荷曲线进行聚类的方法,目的是为不同类别的低压客户找到更新的典型负荷曲线,以用于规划和运营研究。已经讨论了将该方法应用于两个可用数据库所获得的结果的比较。

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