DocumentCode
2878007
Title
Communications requirements and performance of a distributed demand control system
Author
Lee, Josh R. ; Boys, John T. ; Covic, Grant A.
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. of Auckland, Auckland, New Zealand
fYear
2011
fDate
7-10 Nov. 2011
Firstpage
2711
Lastpage
2716
Abstract
With society increasingly focusing on sustainability and the environment, a number of technologies are now receiving significant interest. These include electric vehicles and renewable energy sources such as wind and solar. Here a problem arises due to the unpredictable nature of the wind and the increased and uncontrolled load presented by electric vehicles. Dynamic Demand Control (DDC) is a potential solution to this problem allowing loads such as electric vehicles to balance out fluctuations in supply and improve power quality. A modified version of DDC suitable for communities with some distributed generation, called Distributed Generation Demand Control (DGDC), is presented here with a focus on communication requirements. This behaves as a combination of a traditional smart grid and DDC. DGDC requires a high bandwidth signal representing the amount of power available at any point in time. Different methods and constraints for distributing this signal are presented. Simulation and experimental results show the performance of these demand control methods in the presence of volatile power sources.
Keywords
distributed power generation; electric vehicles; power generation control; power supply quality; smart power grids; bandwidth signal; communication requirements; distributed generation demand control system; dynamic demand control method; electric vehicles; power quality; renewable energy sources; smart grid; volatile power sources; Batteries; Electric vehicles; Frequency control; Home appliances; Switches; Wind power generation;
fLanguage
English
Publisher
ieee
Conference_Titel
IECON 2011 - 37th Annual Conference on IEEE Industrial Electronics Society
Conference_Location
Melbourne, VIC
ISSN
1553-572X
Print_ISBN
978-1-61284-969-0
Type
conf
DOI
10.1109/IECON.2011.6119740
Filename
6119740
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