Title :
Power quality prediction algorithms and analysis
Author :
Xin, Gao ; Shengkui, Dai
Author_Institution :
Coll. of Electr. & Inf. Eng., Anhui Univ. of Sci. & Technol., Huainan, China
fDate :
June 30 2012-July 2 2012
Abstract :
By using the gray prediction adaptive system whose parameter is variable and structure is fixed, this paper revises data sequence of the distortion in the power by using improved model. This method also increases prediction accuracy. Theory analysis and derivation was made according to mathematic analytic method the in power.
Keywords :
mathematical analysis; power supply quality; data sequence; gray prediction adaptive system; mathematic analytic method; power distortion; power quality prediction algorithms; Accuracy; Adaptation models; Algorithm design and analysis; Data models; Mathematical model; Prediction algorithms; Predictive models; power quality; prediction; simulation; the gray theory;
Conference_Titel :
System Science and Engineering (ICSSE), 2012 International Conference on
Conference_Location :
Dalian, Liaoning
Print_ISBN :
978-1-4673-0944-8
Electronic_ISBN :
978-1-4673-0943-1
DOI :
10.1109/ICSSE.2012.6257231
