DocumentCode :
1927670
Title :
FastICA techniques for load profiles estimation
Author :
Hussain, M.M. ; Zakaria, Zuhaina Hj ; Serwan, Salleh
Author_Institution :
Fac. of Electr. Eng., Univ. Teknol. MARA, Shah Alam, Malaysia
fYear :
2012
fDate :
23-26 Sept. 2012
Firstpage :
161
Lastpage :
166
Abstract :
The objective of this research is to employ Independent Component Analysis (ICA) for electrical load profiles estimation to ensure proper power usage measurement of the customers. ICA technique is able to separate the mixed signal into their source signals. Using this method, the load profiles on feeder distribution can be estimated without any knowledge of the network topology and electrical parameters. In addition, a real-time load profiles on feeder distribution can be established instead of load modeling technique by using incoming distribution feeder data profiles. The estimation quality is verified by using error measures of the load profiles. Simulation results and errors of estimations are discussed in this paper.
Keywords :
independent component analysis; load (electric); power measurement; power system state estimation; source separation; ICA technique; distribution feeder data profile; electrical load profile estimation; error measure; independent component analysis; load modeling technique; mixed signal separation; power usage measurement; source signal; Automated Meter Reading; Data Logger; Independent Component Analysis (ICA); Load profiles; Principle Component Analysis (PCA); feeder distribution;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics and Applications (ISIEA), 2012 IEEE Symposium on
Conference_Location :
Bandung
Print_ISBN :
978-1-4673-3004-6
Type :
conf
DOI :
10.1109/ISIEA.2012.6496620
Filename :
6496620
Link To Document :
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