DocumentCode :
1470611
Title :
Probabilistic Wind Energy Modeling in Electric Generation System Reliability Assessment
Author :
Zhang, Yi ; Chowdhury, A.A. ; Koval, D.O.
Author_Institution :
California Indep. Syst. Operator, Folsom, CA, USA
Volume :
47
Issue :
3
fYear :
2011
Firstpage :
1507
Lastpage :
1514
Abstract :
Power grid reliability impacts could be significant when a large amount of variable wind generation is integrated with the electric power system. The widely used deterministic reliability assessment method is invalid when modeling the intermittency of wind energy sources. The energy-based probabilistic reliability assessment models are required in system reliability impact assessment in order to consider the stochastic characteristic of wind resources. This paper investigates different stochastic characteristics in wind energy integration, including resource availability, generation facility outage, and transmission availability. A probabilistic framework of reliability modeling for renewable resource integration such as wind energy conversion system is proposed in this paper. Using the proposed reliability models and framework, the cost of wind energy integration with the power grid for maintaining system adequacy and reliability can be evaluated realistically. The IEEE Reliability Test System is utilized to demonstrate the developed models and methods. The methodology can be used for modeling the reliability of industrial and commercial facilities being serviced by wind farms and transmission lines.
Keywords :
IEC standards; direct energy conversion; power generation reliability; power grids; wind power plants; IEEE reliability test system; electric generation system reliability assessment; electric power system; energy-based probabilistic reliability assessment models; generation facility outage; power grid reliability; resource availability; transmission availability; transmission lines; variable wind generation; wind energy conversion system; wind energy sources; wind farms; Availability; Capacity planning; Power system reliability; Wind; Wind farms; Wind turbines; Cost; outage rate; planning; reliability; transmission availability; wind energy;
fLanguage :
English
Journal_Title :
Industry Applications, IEEE Transactions on
Publisher :
ieee
ISSN :
0093-9994
Type :
jour
DOI :
10.1109/TIA.2011.2127435
Filename :
5729813
Link To Document :
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