Single phase shunt active power filter with simplified ADALINE neural network

Author

Mohd Zainuri, M.A.A. ; Radzi, M.A.M. ; Abdul Rahman, N.F.A. ; Soh, A.C. ; Rahim, N.A.

Author_Institution

Dept. of Electr. & Electron. Eng., Univ. Putra Malaysia, Serdang, Malaysia

fYear

2014

Firstpage

1

Lastpage

6

Abstract

Shunt active power filter is known as powerful tool to compensate current harmonics. Previous development of its controller was by using modified ADALINE algorithm for harmonics extraction, which somehow still having complex features. Therefore, this paper presents three major improvements to the algorithm in related to sine and cosine vectors, weight updating algorithm, and average square error. The proposed algorithm is designed and developed in shunt APF´s controller, and the shunt APF is simulated in MATLAB/Simulink. The simulation results show significant improvement as compared to the previous algorithm.

Keywords

neural nets; power engineering computing; power filters; power supply quality; ADALINE neural network; APF controller; MATLAB/Simulink; current harmonics; modified ADALINE algorithm; power quality problems; shunt APF; single phase shunt active power filter; weight updating algorithm; ADALINE; Active power filter; artificial neural network; harmonics; power quality;

fLanguage

English

Publisher

iet

Conference_Titel

Clean Energy and Technology (CEAT) 2014, 3rd IET International Conference on

Print_ISBN

978-1-78561-069-1

Type

conf

DOI

10.1049/cp.2014.1489

Filename

7151651