DocumentCode :
1393509
Title :
Probabilistic production costing of diesel-wind energy conversion systems
Author :
Karaki, Sami H. ; Chedid, Riad B. ; Ramadan, Rania
Author_Institution :
Dept. of Electr. & Comput. Eng., American Univ. of Beirut, Lebanon
Volume :
15
Issue :
3
fYear :
2000
fDate :
9/1/2000 12:00:00 AM
Firstpage :
284
Lastpage :
289
Abstract :
This paper describes the development of a general probabilistic model of a diesel-wind energy conversion system (DWECS) composed of several diesel units, several wind turbines (wind farm), and battery storage feeding a load. The model allows the simulation of a diesel system with a wind farm of different wind turbine types considering system stability, and outages due to hardware failure and primary energy fluctuations. It is based on a modification of the convolution method, which considers a given penetration level selected by the utility for stability consideration. The production costs of the diesel units are then deduced from the expected energy not supplied (EENS) using a unit de-convolution in reverse economic order. A methodology is also presented to determine the size of the battery storage based on the excess wind energy available during operation, or that disconnected for stability consideration, while accounting for the charging/discharging cycles
Keywords :
costing; diesel-electric generators; power generation economics; probability; secondary cells; wind power plants; wind turbines; battery storage; charging/discharging cycles; convolution method; diesel system; diesel-wind energy conversion systems; expected energy not supplied; hardware failure; outages; primary energy fluctuations; probabilistic production costing; reliability evaluation; reverse economic order; system stability; unit de-convolution; wind farm; wind turbines; Batteries; Costing; Energy conversion; Energy storage; Hardware; Load modeling; Production; Stability; Wind farms; Wind turbines;
fLanguage :
English
Journal_Title :
Energy Conversion, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8969
Type :
jour
DOI :
10.1109/60.875494
Filename :
875494
Link To Document :
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