NDLI: Investigating PHEV wind balancing capabilities using heuristics and model predictive control

Content Provider	IEEE Xplore Digital Library
Author	Galus, M.D. La Fauci, R. Andersson, G.
Copyright Year	2010
Description	Author affiliation: Power Systems Laboratory, ETH Zurich (Swiss Federal Institute of Technology), Switzerland (Galus, M.D.; La Fauci, R.; Andersson, G.)
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.
Starting Page	1
Ending Page	8
File Size	1025884
Page Count	8
File Format	PDF
ISBN	9781424465491
ISSN	19449925
e-ISBN	9781424465514
e-ISBN	9781424483570
DOI	10.1109/PES.2010.5589267
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-07-25
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wind forecasting Wind power generation Production Electricity System-on-a-chip Predictive models Batteries heuristic PHEV V2G balancing energy MPC wind power forecast energy hub
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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