Journal
SUSTAINABLE CITIES AND SOCIETY
Volume 26, Issue -, Pages 447-455Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.scs.2016.04.012
Keywords
Data clustering; Demand response; Energy box; Energy storage; Smart grid; Distribution system operator
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Funding
- Energy and Mobility for Sustainable Regions Project [CENTRO-07-0224-FEDER-002004]
- European Regional Development Fund (ERDF)
- Fundacao para a Ciencia e Tecnologia [PEst-OE/EEI/UI0308/2014, UID/MULTI/00308/2013]
- Fundação para a Ciência e a Tecnologia [PEst-OE/EEI/UI0308/2014] Funding Source: FCT
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The objective of this work is to obtain characteristic daily profiles of consumption, wind generation and electricity spot prices, needed to develop assessments of two different options commonly regarded under the smart grid paradigm: residential demand response, and small scale distributed electric energy storage. The approach consists of applying clustering algorithms to historical data, namely using a hierarchical method and a self-organizing neural network, in order to obtain clusters of diagrams representing characteristic daily diagrams of load, wind generation or electricity price. These diagrams are useful not only to analyze different scenarios of combined existence, but also to understand their individual relative importance. This study enabled also the identification of a probable range of variation around an average profile, by defining boundary profiles with the maximum and minimum values of any cluster prototypes. (C) 2016 Elsevier Ltd. All rights reserved.
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