DocumentCode :
1580698
Title :
Appreciating Wind Energy´s Probabilistic Nature within the Uncertainty Context of Electric Power System Network Planning
Author :
Burke, Daniel J. ; OMalley, M.J.
fYear :
2013
Firstpage :
2215
Lastpage :
2221
Abstract :
Electric power system network planning is influenced by the uncertainty in many parameters, such as future customer-demand/fossil-fuel-price parameter projections and new generation plant locations, which can generally be modeled in an approximate or subjective manner at best. Historically recorded wind power data presented here supports the contention that medium-term wind power generation profiles tend to follow more stable probability distributions. While it is widely acknowledged that the addition of wind power to a system makes network investment analysis more difficult in some respects, such data patterns nevertheless evoke an important discussion on how this relatively more probabilistic (i.e. not uncertain) characteristic of wind power may have some positive value for transmission planning and its related decision making procedures.
Keywords :
Biological system modeling; Planning; Power systems; Probabilistic logic; Uncertainty; Wind; Wind power generation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
System Sciences (HICSS), 2013 46th Hawaii International Conference on
Conference_Location :
Wailea, HI, USA
ISSN :
1530-1605
Print_ISBN :
978-1-4673-5933-7
Electronic_ISBN :
1530-1605
Type :
conf
DOI :
10.1109/HICSS.2013.98
Filename :
6480110
Link To Document :
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