DocumentCode :
1357956
Title :
A Reliability Model of Large Wind Farms for Power System Adequacy Studies
Author :
Dobakhshari, Ahmad Salehi ; Fotuhi-Firuzabad, Mahmud
Author_Institution :
Dept. of Electr. Eng., Sharif Univ. of Technol., Tehran, Iran
Volume :
24
Issue :
3
fYear :
2009
Firstpage :
792
Lastpage :
801
Abstract :
In this paper, an analytical approach for the reliability modeling of large wind farms is presented. A systematic method based on frequency and duration approach is utilized to model a wind farm like a multistate conventional unit, where the probability, frequency of occurrence, and departure rate of each state can be obtained using the regional wind regime of wind farm and wind turbine characteristics. The proposed method is capable of finding both annual frequency and average time of load curtailment analytically in the presence of wind power. A wind farm in the northern region of Iran with the wind speed registration of one year is studied in this paper. To accommodate time-varying patterns of wind speed, reliability analysis considering seasonal patterns of wind speed is also carried out. The results show that seasonal patterns significantly affect the reliability indexes. A reliability analysis is also performed using a load profile similar to that of Iran power network. It will be shown that the coincidence of high-load-demand and high-wind-speed periods makes the North Iran wind farm projects highly attractive from a reliability point of view.
Keywords :
power system reliability; power system simulation; statistical analysis; wind power plants; load curtailment; multistate conventional unit; power system adequacy; seasonal patterns; time varying patterns; wind farm reliability; Frequency; Pattern analysis; Performance analysis; Power system analysis computing; Power system modeling; Power system reliability; Wind energy; Wind farms; Wind speed; Wind turbines; Frequency and duration technique; power system reliability; reliability model; wind farm;
fLanguage :
English
Journal_Title :
Energy Conversion, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8969
Type :
jour
DOI :
10.1109/TEC.2009.2025332
Filename :
5224024
Link To Document :
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