DocumentCode :
1758915
Title :
Optimal scheduling of a microgrid with demand response resources
Author :
Carpinelli, G. ; Mottola, Fabio ; Proto, Daniela
Author_Institution :
Dept. of Electr. Eng. & Inf. Technol., Univ. of Naples Federico II, Naples, Italy
Volume :
8
Issue :
12
fYear :
2014
fDate :
12 2014
Firstpage :
1891
Lastpage :
1899
Abstract :
A larger penetration of plug-in electric vehicle (EV) fleets and of data centres in the microgrids (μGs) is foreseeable in the near future. Their presence and the presence of distributed generation (DG) units represent a challenge for system operators in that they must identify approaches for using these distributed resources that allow them to operate the grid in a more efficient and economical way. With particular reference to EVs and data centres, it must be noted that they are equipped with storage devices that potentially could result in the modification of the daily load profile of μGs by shifting peak demand away from the high-cost periods. This study is focused on the use of data centres and EV aggregators as demand-response resources, and a new model for the operation of a μG that includes DG units, EV fleets and the data centre´s storage systems has been proposed. The procedure is based on a non-linear, constrained, optimisation model with the aim of minimising the total cost of energy and simultaneously shaving peak power. The effectiveness of the proposed strategy was demonstrated by means of numerical applications to a low-voltage, test μG.
Keywords :
cost reduction; demand side management; distributed power generation; electric vehicles; power grids; μG; DG units; EV fleets; cost minimisation; data centre storage systems; demand response resources; distributed generation units; distributed resources; high-cost periods; load profile; microgrid; microgrids; optimal scheduling; optimisation model; plug-in electric vehicle fleets; power grid;
fLanguage :
English
Journal_Title :
Generation, Transmission & Distribution, IET
Publisher :
iet
ISSN :
1751-8687
Type :
jour
DOI :
10.1049/iet-gtd.2013.0758
Filename :
6985850
Link To Document :
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