Harmonics Minimisation in Non-Linear Grid System Using an Intelligent Hysteresis Current Controller Operated from a Solar Powered ZETA Converter

Lakshmana Perumal Pattathurani, Subhransu S. Dash, Rajat K. Dwibedi, Mani Devesh Raj, Raju Kannadasan, Max F. Savio, Mohammed H. Alsharif and James Hyungkwan Kim
Additional contact information
Lakshmana Perumal Pattathurani: Faculty of Electrical Engineering, Sathyabama Institute of Science and Technology, Chennai 600119, Tamil Nadu, India
Subhransu S. Dash: Department of Electrical Engineering, Government College of Engineering, Keonjhar 758002, Odisha, India
Rajat K. Dwibedi: Department of Electronics and Communication Engineering, Aarupadai Veedu Institute of Technology, Chennai 603104, Tamil Nadu, India
Mani Devesh Raj: Department of Electrical and Electronics Engineering, Sri Sivasubramaniya Nadar College of Engineering, Kalavakkam 603110, Tamil Nadu, India
Raju Kannadasan: Department of Electrical and Electronics Engineering, Sri Venkateswara College of Engineering, Kanchipuram 602117, Tamil Nadu, India
Max F. Savio: Department of Electrical and Electronics Engineering, Saveetha Engineering College, Chennai 602105, Tamil Nadu, India
Mohammed H. Alsharif: Department of Electrical Engineering, College of Electronics and Information Engineering, Sejong University, Seoul 05006, Korea
James Hyungkwan Kim: Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA 94720, USA

Sustainability, 2022, vol. 14, issue 12, 1-14

Abstract: Due to the non-linear load characteristics in the domestic three-phase grid system, the quality of power transmission is a challenge for researchers. In this paper, the harmonics injected in a three-phase grid system due to the non-linear loads and a solution for harmonics minimisation using the hysteresis current controller (HCC) is presented. The proposed work consists of switched dc loads such as personal computers, SMPS, etc., connected to the three-phase grid system through the rectifier unit. These loads connected with other AC loads inject harmonics in the power lines. The total harmonic distortion (THD) at the power line is therefore increased. A ZETA embedded three-phase inverter using an artificial neural network-based HCC (ANN-HCC) is used to minimise the voltage and the current THDs. To ease the power consumption, a solar photovoltaic system (SPV) is used to power the ZETA embedded three-phase inverter. The output of the SPV is regulated using the ZETA dc/dc converter. However, the hysteresis bands ( U upper and U lower ) are selected using the ANN with respect to the actual value compared with the calculated current error. The vector shifts to the next based on the previous vector applied, and thereby the process repeats following the same pattern. The back propagation (BP)-based neural network is trained using the currents’ non-linear and differential functions to generate the current error. The neural structure ends when the value hits the hysteresis band. Simultaneously, the PWM control waveform is tracked by the neural network output. The proposed system is mathematically modelled using MATLAB/Simulink. An experimental setup of a similar prototype model is designed. The voltage and the current harmonics are measured using a Yokogawa CW240 power quality meter and the results are discussed.

Keywords: artificial neural network (ANN); solar photovoltaic; switch-mode power supply; power quality; total harmonic distortions; hysteresis current controller; ZETA converter (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2071-1050/14/12/7028/pdf (application/pdf)
https://www.mdpi.com/2071-1050/14/12/7028/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:14:y:2022:i:12:p:7028-:d:834325

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().