DocumentCode
1816119
Title
Analysis of wind penetration and network reliability through Monte Carlo simulation
Author
Anderson, C.L. ; Cardell, J.B.
Author_Institution
Dept. of Biol. & Environ. Eng., Cornell Univ., Ithaca, NY, USA
fYear
2009
fDate
13-16 Dec. 2009
Firstpage
1503
Lastpage
1510
Abstract
Generating electricity from wind resources has many environmental and economic advantages over traditional fossil-fueled generation. As a result, there is little doubt that energy from wind will be a significant contribution to the electricity portfolio of the future. Due to the sensitivity of the network and the volatility of the wind resource, analysis of power system operations using expected wind generation is not representative of actual system operations. In order to account for this fundamental uncertainty in wind generation, a Monte Carlo simulation model is developed based on an Optimal Power Flow model, and tested on the IEEE 39-bus test system. The results of these simulations indicate that while the average cost of serving load decreases with increasing wind penetration, the reliability of the system is highly sensitive to the ability of other generators on the system to ramp production either up or down on very short timescales.
Keywords
Monte Carlo methods; power generation economics; power generation reliability; wind power plants; IEEE 39-bus test system; Monte Carlo simulation; economic advantages; electric generation; electricity portfolio; environmental advantages; network reliability; network sensitivity; optimal power flow model; system reliability; wind generation; wind penetration; wind resources; Environmental economics; Portfolios; Power generation; Power generation economics; Power system economics; Power system modeling; System testing; Wind energy; Wind energy generation; Wind power generation;
fLanguage
English
Publisher
ieee
Conference_Titel
Simulation Conference (WSC), Proceedings of the 2009 Winter
Conference_Location
Austin, TX
Print_ISBN
978-1-4244-5770-0
Type
conf
DOI
10.1109/WSC.2009.5429298
Filename
5429298
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