Integration of dual intelligent algorithms in shunt active power filter

Citation

Abdul Rahman, Nor Farahaida and Mohd Radzi, Mohd Amran and Mariun, Norman and Che Soh, Azura and Abd Rahim, Nasrudin (2013) Integration of dual intelligent algorithms in shunt active power filter. In: 2013 IEEE Conference on Clean Energy and Technology (CEAT), 18-20 Nov. 2013, Langkawi, Kedah, Malaysia. (pp. 259-264).

Abstract

This paper presents an integration of dual intelligent algorithms: artificial neural network (ANN) based fundamental component extraction algorithm and fuzzy logic based DC-link voltage self-charging algorithm (fuzzy self-charging algorithm), in a three-phase three-wire shunt active power filter (SAPF). The ANN and fuzzy logic are trained using the modified Widrow-Hoff (W-H) weight updating algorithm and fuzzy rules respectively. The controller has utilized both algorithms for producing its reference signals and consequently mitigating distorted source currents, improving system power factor (PF) and regulating the DC-link voltage. A 10kHz pulse-width modulation (PWM) switching algorithm is employed to generate the switching signals and therefore the distorted source currents are reshaped to be sinusoidal source current with low total harmonic distortion (THD) value and in phase with source voltages. The effectiveness of the proposed dual intelligent algorithms is verified using Matlab/Simulink.

Download File

Preview

Text (Abstract)
Integration of dual intelligent algorithms in shunt active power filter.pdf
Download (35kB) | Preview

Additional Metadata

Item Type:	Conference or Workshop Item (Paper)
Divisions:	Faculty of Engineering
DOI Number:	https://doi.org/10.1109/CEAT.2013.6775637
Publisher:	IEEE
Keywords:	Shunt active power filter (SAPF); Artificial neural network (ANN); Harmonic extraction; Current harmonics; Reactive power compensation; Fuzzy logic; DC-link voltage regulation
Depositing User:	Nabilah Mustapa
Date Deposited:	12 Jun 2019 02:09
Last Modified:	12 Jun 2019 02:09
Altmetrics:	http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1109/CEAT.2013.6775637
URI:	http://psasir.upm.edu.my/id/eprint/69008
Statistic Details:	View Download Statistic

Actions (login required)

View Item