Value and granularity of la and smart meter data in demand response systems

被引:40
|
作者
Feuerriegel, Stefan [1 ]
Bodenbenner, Philipp [1 ]
Neumann, Dirk [1 ]
机构
[1] Univ Freiburg, Chair Informat Syst Res, Pl Alten Synagoge, D-79098 Freiburg, Germany
关键词
Demand response; Load shifting; Smart meters; Electricity markets; Information granularity; Business models; CHALLENGES;
D O I
10.1016/j.eneco.2015.11.016
中图分类号
F [经济];
学科分类号
02 ;
摘要
The large-scale integration of intermittent resources of power generation leads to unprecedented fluctuations on the supply side. An electricity retailer can tackle these challenges by pursuing strategies of flexible load shifting - so-called demand response mechanisms. This work addresses the associated trade-off between ICT deployment and economic benefits. The ICT design of a demand response system serves as the basis of a cost-value model, which incorporates all relevant cost components and compares them to the expected savings of an electricity retailer. Our analysis is based on a typical German electricity retailer to determine the optimal read-out frequency of smart meters. For our set of parameters, a positive information value of smart meter read-outs is achieved within an interval of 21 to 57 min regarding variable costs. Electricity retailers can achieve a profitable setting by restricting smart meter roll-out to large customers. (C) 2015 Elsevier B.V. All rights reserved.
引用
收藏
页码:1 / 10
页数:10
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