On-line Estimation of Electric Power System Active Loads

Author

Gursoy, Ekrem ; Niebur, Dagmar

Author_Institution

Drexel Univ., Philadelphia

fYear

0

fDate

0-0 0

Firstpage

1689

Lastpage

1694

Abstract

To ensure reliable and economic operation of electric power systems under deregulation, timely estimation of electric load profiles is extremely important. The statistical properties of electric loads allow estimation using blind source separation. This paper presents estimation of electric load profiles using an on-line Independent Component Analysis algorithm with an adaptive learning parameter. Computer simulation results and performance of the estimations are discussed.

Keywords

adaptive estimation; blind source separation; electricity supply industry deregulation; independent component analysis; learning (artificial intelligence); power system economics; power system reliability; power system simulation; adaptive learning parameter; blind source separation; electric power system active load; electric power system economic operation; electric power system reliability; independent component analysis algorithm; online estimation; statistical property; Blind source separation; Electric variables measurement; Independent component analysis; Load flow; Network topology; Power generation; Power system measurements; Power system reliability; State estimation; Voltage; Electric Power Systems; Independent Component Analysis; Load Estimation; Load Profile;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks, 2006. IJCNN '06. International Joint Conference on

Conference_Location

Vancouver, BC

Print_ISBN

0-7803-9490-9

Type

conf

DOI

10.1109/IJCNN.2006.246638

Filename

1716311