DocumentCode :
760636
Title :
System Reliability Assessment Method for Wind Power Integration
Author :
Vallee, Francois ; Lobry, Jacques ; Deblecker, Olivier
Author_Institution :
Electr. Eng. Dept., Fac. Polytech. de Mons, Mons
Volume :
23
Issue :
3
fYear :
2008
Firstpage :
1288
Lastpage :
1297
Abstract :
Wind power penetration is expected to be largely increased in the near future. Nevertheless, due to the high variability of wind, the increase of the installed capacity in wind energy could sometimes lead to a stopping of nonadjustable power plants if the planning of those units was still decided without considering a realistic estimation of the available wind potential. In that way, and as it is illusory to imagine that all the installed wind capacity will always be produced, this article proposes a new method, based on a discrete convolution process, to compute a two-state probabilistic model for wind generation and to define, so, an equivalent capacity for global wind production in order to introduce it in the predictive peak load covering process. This global model is, in fact, based on the convolution between each single wind park multistates histograms and permits to compute accurate equivalent capacity for the wind production of an entire country.
Keywords :
Weibull distribution; reliability; wind power; discrete convolution process; system reliability assessment method; two-state probabilistic model; wind energy; wind generation; wind power integration; wind power penetration; Power control; Weibull distributions; power system modeling; wind energy;
fLanguage :
English
Journal_Title :
Power Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8950
Type :
jour
DOI :
10.1109/TPWRS.2008.926090
Filename :
4547449
Link To Document :
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