Abstract

The main objective of an active power filter (APF) is to control the harmonics of nonlinear loads in power systems. In addition, the reactive power (fundamental component of the AC power) at the point of common coupling (PCC) can be compensated by using an APF. This paper investigates a technique for the modulation technique of the active power filters. Using the artificial neural network (ANN) technique, real-time fundamental and harmonic compensations can be achieved for the low-frequency modulation techniques such as asymmetric selective harmonic elimination/mitigation-pulse width modulation (ASHE/ASHM-PWM) and asymmetric selective harmonic current mitigation-PWM (ASHCM-PWM). This means that different phases and magnitudes of the fundamental and harmonics for the voltage of the converter can be obtained in real time by using the proposed technique. Furthermore, in the paper, a guideline is proposed for generating ANN training data for the ASHCM-PWM technique. Simulation and experimental results are conducted on a 7-level (3-cell) cascaded H-bridge (CHB) active power filter to evaluate the advantages and effectiveness of the proposed ANN-based technique.

Department(s)

Electrical and Computer Engineering

Publication Status

Early Access

Keywords and Phrases

Active filters; Active power filter; artificial neural network; cascaded H-bridge; Harmonic analysis; Modulation; Power harmonic filters; Power quality; Real-time systems; selective harmonic current mitigation-PWM

International Standard Serial Number (ISSN)

1939-9367; 0093-9994

Document Type

Article - Journal

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2024 Institute of Electrical and Electronics Engineers, All rights reserved.

Publication Date

01 Jan 2021

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