Uncertainty modeling and analysis of wind energy systems

Author

Mohammed, Hadiza ; Nwankpa, Chika

Author_Institution

Dept. of Electr. & Comput. Eng., Drexel Univ., Philadelphia, PA, USA

Volume

4

fYear

1998

fDate

16-18 Dec 1998

Firstpage

4732

Abstract

This paper presents a stability assessment of wind energy conversion systems (WECS) in electric power networks based on stochastic methods. A stochastic model of the power network is presented. The system´s mean first passage time (MFPT) is obtained as a reliability index. The sensitivity of MFPT to noise intensity levels was studied on a 4-bus power system with a wind generator component. The MFPT can be used as a tool by power system engineers for planning the addition of wind generators to power systems

Keywords

power generation reliability; power system stability; stochastic processes; uncertain systems; wind power; 4-bus power system; MFPT; WECS; electric power networks; mean first passage time; noise intensity level sensitivity; power network; reliability index; stability assessment; stochastic methods; stochastic model; uncertainty analysis; uncertainty modeling; wind energy conversion systems; wind generator; Power generation; Power system modeling; Power system planning; Power system reliability; Stability; Stochastic resonance; Uncertainty; Wind energy; Wind energy generation; Wind power generation;

fLanguage

English

Publisher

ieee

Conference_Titel

Decision and Control, 1998. Proceedings of the 37th IEEE Conference on

Conference_Location

Tampa, FL

ISSN

0191-2216

Print_ISBN

0-7803-4394-8

Type

conf

DOI

10.1109/CDC.1998.762081

Filename

762081