DocumentCode :
2374033
Title :
Investigating PHEV wind balancing capabilities using heuristics and model predictive control
Author :
Galus, Matthias D. ; La Fauci, Raffael ; Andersson, Goran
Author_Institution :
Power Syst. Lab., ETH Zurich, Zurich, Switzerland
fYear :
2010
fDate :
25-29 July 2010
Firstpage :
1
Lastpage :
8
Abstract :
The strive for sustainable energy systems will most likely lead to an increased use of renewable energy sources which to a large extent are fluctuating. Therefore, a larger demand for balancing capacity will be required to maintain system security. Plug-in Hybrid Electric Vehicles (PHEV) represent a potential storage which could offer additional balancing power. Here, the applicability of PHEVs for this purpose is investigated. The study is performed in a system including a wind farm. The PHEV storage management approaches are based on a heuristic- and on a model predictive control scheme. They are compared in case studies. It is shown that the heuristic scheme is scalable while both schemes are able to balance the forecast error of renewable sources to an acceptable level.
Keywords :
hybrid electric vehicles; power system security; predictive control; renewable energy sources; wind power plants; heuristics control; model predictive control; plug-in hybrid electric vehicles wind balancing capabilities; renewable energy sources; storage management approaches; sustainable energy systems; system security; wind farm; MPC; PHEV; V2G; balancing energy; energy hub; heuristic; wind power forecast;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power and Energy Society General Meeting, 2010 IEEE
Conference_Location :
Minneapolis, MN
ISSN :
1944-9925
Print_ISBN :
978-1-4244-6549-1
Electronic_ISBN :
1944-9925
Type :
conf
DOI :
10.1109/PES.2010.5589267
Filename :
5589267
Link To Document :
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