Title :
Investigating the effects of dynamic demand side management within intelligent Smart Energy communities of future decentralized power system
Author :
Fazeli, A. ; Christopher, E. ; Johnson, C.M. ; Gillott, M. ; Sumner, M.
Author_Institution :
Instn. of Sustainable Energy Technol., Univ. of Nottingham, Nottingham, UK
Abstract :
This paper firstly discusses the benefits of transforming conventional power system into decentralized systems which are composed of clusters of smart energy communities, supplied mainly by renewable energy sources. Application of Demand Side Management within such communities has been identified as a necessity to account for the required degree of active management in such dynamic systems. The intelligent Smart Energy Community project and its concepts have been discussed. An electricity demand model has been created and used to firstly determine the appropriate size of a community for implementation of an effective and non-disturbing load shifting demand side management. The model is then utilized to quantify the potential benefits of applying load shifting demand side management with a variable severity level.
Keywords :
demand side management; power system security; renewable energy sources; decentralized power system; dynamic demand side management; electricity demand model; intelligent smart energy community project; non-disturbing load shifting demand side management; renewable energy sources; smart energy communities; variable severity level; Cogeneration; Electricity; Indexes; Industries; Load modeling; Rails; Switches; Demand Side Management; Electricity demand; Electricity networks; Smart energy;
Conference_Titel :
Innovative Smart Grid Technologies (ISGT Europe), 2011 2nd IEEE PES International Conference and Exhibition on
Conference_Location :
Manchester
Print_ISBN :
978-1-4577-1422-1
Electronic_ISBN :
2165-4816
DOI :
10.1109/ISGTEurope.2011.6162619