Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

A new approach based on current controlled hybrid power compensator for power quality improvement using time series neural network

A new approach based on current controlled hybrid power compensator for power quality improvement... In this paper, a current controlled-hybrid power compensator (CC-HPC) is presented to reduce the effect of input current harmonics on battery chargers. Passive filters have significant power loss and degrade system frequency due to excessive harmonic attenuation. The proposed system integrates the Higher Order Sliding Mode Controller (HOSMC) with a generalized form of p–q power theory and a Time Series – Artificial Neural Network (TS-ANN) is used to produce compensating reference current for a three-phase system and generates DC link inductor current. Switching pulses to Current Controlled-Active Power Compensator (CC-APC) switches are generated using a reference compensated signal. The development of CC-HPC and its control approach helps to reduce the overall harmonic distortion of the supply current used in battery chargers are the main contributions of the proposed system. HOSMC is a robust and adaptable controller that tracks reference current without causing chattering is the significant advantage of the proposed method. The control algorithm is designed in MATLAB/SIMULINK software for various load conditions and the experimental setup has been developed for rectified fed RC load using TS-ANN. The filtering process of CC-HPC can maintain the harmonic distortion of supply current within the IEEE 519-2014 standard. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Automatika Taylor & Francis

A new approach based on current controlled hybrid power compensator for power quality improvement using time series neural network

Automatika , Volume 64 (4): 17 – Oct 2, 2023
17 pages

Loading next page...
 
/lp/taylor-francis/a-new-approach-based-on-current-controlled-hybrid-power-compensator-jv3pllvUPp

References

References for this paper are not available at this time. We will be adding them shortly, thank you for your patience.

Publisher
Taylor & Francis
Copyright
© 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group
ISSN
0005-1144
eISSN
1848-3380
DOI
10.1080/00051144.2023.2203560
Publisher site
See Article on Publisher Site

Abstract

In this paper, a current controlled-hybrid power compensator (CC-HPC) is presented to reduce the effect of input current harmonics on battery chargers. Passive filters have significant power loss and degrade system frequency due to excessive harmonic attenuation. The proposed system integrates the Higher Order Sliding Mode Controller (HOSMC) with a generalized form of p–q power theory and a Time Series – Artificial Neural Network (TS-ANN) is used to produce compensating reference current for a three-phase system and generates DC link inductor current. Switching pulses to Current Controlled-Active Power Compensator (CC-APC) switches are generated using a reference compensated signal. The development of CC-HPC and its control approach helps to reduce the overall harmonic distortion of the supply current used in battery chargers are the main contributions of the proposed system. HOSMC is a robust and adaptable controller that tracks reference current without causing chattering is the significant advantage of the proposed method. The control algorithm is designed in MATLAB/SIMULINK software for various load conditions and the experimental setup has been developed for rectified fed RC load using TS-ANN. The filtering process of CC-HPC can maintain the harmonic distortion of supply current within the IEEE 519-2014 standard.

Journal

AutomatikaTaylor & Francis

Published: Oct 2, 2023

Keywords: Power quality; PI controller; HOSMC; CC- HPC; time series artificial neural network

There are no references for this article.