DocumentCode :
2367532
Title :
Single-objective optimal scheduling of a low voltage microgrid: A minimum-cost strategy with peak shaving issues
Author :
Carpinelli, Guido ; Mottola, Fabio ; Proto, Daniela ; Bracale, Antonio
Author_Institution :
Electr. Eng. Dept., Federico II Univ. of Napoli, Naples, Italy
fYear :
2012
fDate :
18-25 May 2012
Firstpage :
682
Lastpage :
687
Abstract :
Distributed generation units in microgrids are typically inadequate to meet the total loads demand during the peak hours, whereas a surplus of energy can be available during the hours of the day characterized by low demand. On the other hand, the foreseeable large use of plug-in electric vehicles storage systems could enable to modify the microgrid daily load demand; plug-in electric vehicles batteries, in fact, can have the multiple role of loads and energy sources. On the basis of the above considerations, this paper focuses on the economical scheduling of electric vehicles powers by proposing a single-objective optimization model that minimizes the total amount of daily cost suffered for the energy imported from the upstream network. The model includes also a constraint on the active power at the interconnection bus of the microgrid, thus enabling the peak shaving service. The effectiveness of the single-objective strategy is demonstrated with numerical applications to a low voltage test microgrid.
Keywords :
demand side management; distributed power generation; electric vehicles; optimisation; power generation scheduling; active power; daily load demand; distributed generation units; economical scheduling; energy sources; interconnection bus; low voltage microgrid; microgrids; minimum-cost strategy; peak hours; peak shaving issues; plug-in electric vehicles batteries; plug-in electric vehicles storage systems; single-objective optimal scheduling; single-objective optimization model; single-objective strategy; total loads demand; upstream network; Batteries; Electric vehicles; Load modeling; Low voltage; Optimal scheduling; Reactive power; Distributed Generation; Electric Vehicles; Microgrid; Optimization Problem; Smart Grid;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Environment and Electrical Engineering (EEEIC), 2012 11th International Conference on
Conference_Location :
Venice
Print_ISBN :
978-1-4577-1830-4
Type :
conf
DOI :
10.1109/EEEIC.2012.6221463
Filename :
6221463
Link To Document :
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