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首页> 外文期刊>Industrial Informatics, IEEE Transactions on >Unsupervised Disaggregation of Photovoltaic Production From Composite Power Flow Measurements of Heterogeneous Prosumers
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Unsupervised Disaggregation of Photovoltaic Production From Composite Power Flow Measurements of Heterogeneous Prosumers

机译：从异构生产者的复合潮流测量中光伏生产的无监督分解

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摘要

We consider the problem of estimating the unobserved amount of photovoltaic (PV) generation and demand in a power distribution network starting from measurements of the aggregated power flow at the point of common coupling and local global horizontal irradiance (GHI). The estimation principle relies on modeling the PV generation as a function of the measured GHI, enabling the identification of PV production patterns in the aggregated power flow measurements. Four estimation algorithms are proposed: the first assumes that variability in the aggregated PV generation is given by variations of PV generation, the next two use a model of the demand to improve estimation performance, and the fourth assumes that, in a certain frequency range, the aggregated power flow is dominated by PV generation dynamics. These algorithms leverage irradiance transposition models to explore several azimuth/tilt configurations and explain PV generation patterns from multiple plants with nonuniform installation characteristics. Their estimation performance is compared and validated with measurements from a real-life setup including four houses with rooftop PV installations and battery systems for PV self-consumption.
机译：我们考虑一个问题，即从对公共耦合点和局部全局水平辐照度（GHI）的总功率流进行测量开始，估算配电网络中未观测到的光伏（PV）发电量和需求量。估算原理依赖于将光伏发电建模为所测GHI的函数，从而能够识别出汇总的潮流测量中的光伏生产模式。提出了四种估算算法：第一种假定汇总PV发电量的可变性是由PV发电量的变化给出的；第二种假定是使用需求模型来提高估计性能；第四种假定是在特定频率范围内，聚合功率流主要由光伏发电动力学决定。这些算法利用辐照度转换模型来探索几种方位/倾斜配置，并解释来自具有不均匀安装特性的多个工厂的光伏发电方式。他们的估算性能经过比较，并通过实际设置中的测量结果进行了验证，包括四栋带有屋顶光伏装置的房屋以及用于光伏自耗的电池系统。

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