Probabilistic performance assessment of wind energy conversion systems
- American Univ. of Beirut, New York, NY (United States). Dept. of Electrical and Computer Engineering
This paper describes the development of a general probabilistic model of an autonomous wind energy conversion system (WECS) composed of several wind turbines (wind farm) connected to a load and a battery storage. The proposed technique allows the simulation of wind farms containing identical or different wind turbines types and considers a bi-directional flow of power in and out of the battery. The model is based upon a simple procedure to estimate the joint probability distribution function of the total available wind power and that of the turbines operating modes due to hardware failure. A methodology is also developed to use the proposed model to determine an upper limit on the size of the battery storage required for a given number of turbines to satisfy the load with a certain expected energy not supplied (EENS). The model can also be used to evaluate the energy purchased from or injected to the grid in the case of grid-connected systems.
- OSTI ID:
- 354445
- Journal Information:
- IEEE Transactions on Energy Conversion, Vol. 14, Issue 2; Other Information: PBD: Jun 1999
- Country of Publication:
- United States
- Language:
- English
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