Research on evaluation method of power quality for wind plant based on Probability Theory and Evidence Theory

Author

Yong, Wang ; Wen-ting, Wang ; Ling, Zhang

Author_Institution

Dept. of Electron. Eng., Mech. Eng. Coll., Shijiazhuang, China

fYear

2011

fDate

16-18 Dec. 2011

Firstpage

1003

Lastpage

1006

Abstract

A combined assessment method based on Probability Theory and Evidence Theory was proposed to evaluate the power quality for wind plant. This method adopted an improved Probability Theory to estimate every sample index, which guaranteed the objectivity and preciseness in the measured data acquisition and initial process. The D-S Evidence Theory was also introduced for the information fusion of different experts in the estimate process of index weight, which made the result more objectively and exactly, and abated the force of experts´ subjective factors.

Keywords

data acquisition; power supply quality; probability; sensor fusion; wind power plants; D-S evidence theory; combined assessment method; data acquisition; evidence theory-based wind plant; index weight; information fusion; probability theory-based wind plant; sample index estimation; wind plant power quality evaluation method; Fluctuations; Indexes; Power quality; Probability distribution; Vectors; Voltage fluctuations; power quality; probability theory; the D-S Evidence Theory; uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Transportation, Mechanical, and Electrical Engineering (TMEE), 2011 International Conference on

Conference_Location

Changchun

Print_ISBN

978-1-4577-1700-0

Type

conf

DOI

10.1109/TMEE.2011.6199373

Filename

6199373