Abstract
This paper discusses the potential of the domestic sector to provide Demand Side Management (DSM) services. The inherent drawback of the domestic sector is its structure, consisting of numerous small loads, the high variety of sub-types, the deviation of consumption profiles between households but also the daily variation of each household’s demand. In order for DSM to be coordinated and controlled effectively there is a need to create appropraite load clusters and categories. Moreover, there is a variety of domestic loads which can be considered controllable or ‘smart’. These smart loads have different characteristics, constraints and thus suitability for DSM services. Hence, typical clustering of load profiles is not optimal and the problem needs to solved on a lower level. A promising method is proposed, some initial results are shown, and finally future work and possible imporvements are discussed.
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Acknowledgments
The research leading to these results has received funding from the European Community’s Seventh Framework Programme (FP7-PEOPLE-2013-ITN) under grant agreement no 607774.
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© 2015 Institute for Computer Sciences, Social informatics and Telecommunication Engineering
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Kleidaras, A., Kiprakis, A. (2015). A Roadmap for Domestic Load Modelling for Large-Scale Demand Management within Smart Grids. In: Pillai, P., Hu, Y., Otung, I., Giambene, G. (eds) Wireless and Satellite Systems. WiSATS 2015. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 154. Springer, Cham. https://doi.org/10.1007/978-3-319-25479-1_3
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