Statistical Properties of Diversity Factors for Probabilistic Loading of Distribution Transformers
Statistical Properties of Diversity Factors for Probabilistic Loading of Distribution Transformers
复制标题
配电变压器概率负载分集因子的统计特性
DOI：
10.1109/naps.2007.4402365
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发表时间：
2007
期刊：
影响因子：
--
通讯作者：
M. Dyer
中科院分区：
文献类型：
--
作者：
V.P. Chatlani;D. Tylavsky;D. Montgomery;M. Dyer
分集因子是用于配电变压器负载的重要工具。通常，多样性因子是近似值，并被视为确定性的。通过计算许多样本多样性因子，可以开发描述多样性因子的统计量，并使用这些统计量来执行概率性Transformer加载。从这里报告的工作结果确认的独立性的多样性因素计算的自举抽样测得的住宅负荷数据。本文表明，多样性因子不是正态分布的假设，在其他工作。Anderson-Darling检验表明多样性因子服从伽玛分布。预测需求的统计性质与Transformer负载能力的统计性质可以合并，以获得对Transformer负载的可量化统计评估。
The diversity factor is an essential tool used for loading of distribution transformers. Typically, diversity factors are approximate values and treated as deterministic. By calculating many sample diversity factors it is possible to develop statistics that describe the diversity factor and use these statistic to perform probabilistic transformer loading. Results from work reported here confirm the independence of the diversity factors calculated by bootstrap sampling of measured residential load data. This paper shows that the diversity factor is not normally distributed as assumed in other work. The Anderson-Darling test shows that the diversity factor obeys a gamma distribution. The statistical nature of the predicted demand with the statistical nature of the transformer loading capability can be merged to arrive at a quantifiable statistical assessment of transformer loading.