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