Title :
Local and global optimization of exportable vehicle power based smart microgrid
Author :
Godarzi, A. ; Niaki, S. A Nabavi ; Ahmadkhanlou, F. ; Iravani, R.
Author_Institution :
US Hybrid Corp., Torrance, CA, USA
Abstract :
This paper investigates the technical feasibility of a smart microgrid that includes (i) exportable vehicle power system (EVPS) units, (ii) Auxiliary Power Supply (APU) units, and (iii) utility distribution system. The Cognitive Power Management (CPM) of the microgrid is introduced based on the availability of communications, to optimize operation of the overall microgird system in terms of fuel consumption. The CPM uses CAN based communications and forms the “intelligence” of the microgrid. The primary objective of this study is to provide strategies for the local and global optimal fuel consumption of the combined EVPS and APU units. To highlight the salient performance features of the cognitive microgrid, a comparison between a conventional microgrid control strategy and the cognitive power management based microgird is also performed.
Keywords :
battery powered vehicles; cognitive systems; distributed power generation; energy storage; hybrid electric vehicles; optimisation; power distribution control; power engineering computing; power system management; smart power grids; auxiliary power supply units; cognitive microgrid; cognitive power management; exportable vehicle power system unit; global optimization; local optimization; microgrid control strategy; smart microgrid; technical feasibility; utility distribution system; Batteries; Density estimation robust algorithm; Engines; Fuels; Optimization; Real time systems; Vehicles; Cognitive Power Management; Fuel Optimization; Smart Microgrid; Vehicle-to-Grid;
Conference_Titel :
Innovative Smart Grid Technologies (ISGT), 2011 IEEE PES
Conference_Location :
Hilton Anaheim, CA
Print_ISBN :
978-1-61284-218-9
Electronic_ISBN :
978-1-61284-219-6
DOI :
10.1109/ISGT.2011.5759144
