Generation of Domestic Load Profiles-an Adaptive Top-Down Approach
Generation of Domestic Load Profiles-an Adaptive Top-Down Approach
复制标题
国内负荷曲线的生成——自适应自上而下的方法
DOI：
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发表时间：
2012
期刊：
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通讯作者：
G. Andersson
中科院分区：
文献类型：
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作者：
C. Bucher;G. Andersson
在本文中，自上而下的方法来生成负载配置文件的最终消费者。重点关注连接到低压（LV）电网的小型消费者，例如单个家庭。该算法是基于给定的测量或合成生成的自下而上的负载配置文件，以及一个已知的平均负载配置文件。对数据进行统计分析，并以累积概率函数（CDF）进行描述。通过采用符合CDF的随机数，可以生成有功和无功功率高分辨率负载分布。所提出的方法是快速行动，因此是适合于产生大量的负载配置文件。与自下而上的方法相反，如果没有或只有很少的关于消费者的信息，这种方法也适用。
In this paper a top-down approach to generating load profiles of end-consumers is described. The focus is on small consumers connected to the low voltage (LV) grid, e.g. a single household. The algorithm is based on either given measurements or synthetically generated bottom-up load profiles as well as a known average load profile. The data are statistically analysed and described in cumulative probability functions (CDF). By employing random numbers that conform to the CDF, both active and reactive power high resolution load profiles can be generated. The presented method is fast-acting and is therefore appropriate for generating large numbers of load profiles. In contrast to a bottom-up approach, it is also applicable if no or only little information about the consumer is available.