Residential load and rooftop PV generation: an Australian distribution network dataset

被引：145
作者：
Ratnam E.L. [1 ]
Weller S.R. [1 ]
Kellett C.M. [1 ]
Murray A.T. [2 ]
机构：
[1] School of Electrical Engineering and Computer Science, University of Newcastle, University Drive, Callaghan, 2308, NSW
[2] Independent, Newcastle
来源：
International Journal of Sustainable Energy | 2017年 / 36卷 / 08期
关键词：
dataset; feed-in tariffs; residential load; Solar photovoltaics; time-of-use metering;
D O I：
10.1080/14786451.2015.1100196
中图分类号：
学科分类号：
摘要：
Despite the rapid uptake of small-scale solar photovoltaic (PV) systems in recent years, public availability of generation and load data at the household level remains very limited. Moreover, such data are typically measured using bi-directional meters recording only PV generation in excess of residential load rather than recording generation and load separately. In this paper, we report a publicly available dataset consisting of load and rooftop PV generation for 300 de-identified residential customers in an Australian distribution network, with load centres covering metropolitan Sydney and surrounding regional areas. The dataset spans a 3-year period, with separately reported measurements of load and PV generation at 30-min intervals. Following a detailed description of the dataset, we identify several means by which anomalous records (e.g. due to inverter failure) are identified and excised. With the resulting ‘clean’ dataset, we identify key customer-specific and aggregated characteristics of rooftop PV generation and residential load. © 2015 Taylor & Francis.
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收藏
页码：787 / 806
页数：19
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