Enhancing Power Quality in PV Inverters Using Hysteresis Current Control (HCC) Technique

This manuscript proposed three closed-loop strategies using Hysteresis Current Control (HCC) for PV-inverter application. A string-PV arrangement of parallel and series-PV connection (Np = 6 and Ns = 10) aims for target input voltage of ±400 V, intended for Off-grid PV (OGPV) system. The PV-system design is tested under Standard Test Condition (STC) where the irradiance and temperature are kept constant at 1000 W/m2 and 25˚C, respectively. Full-bridge inverter is chosen as the PV-inverter since it is commonly used inverter for unfolding purposes in the PV application. The proposed PV-inverter with HCC strategy was designed and compared with the PV-inverter using conventional Bipolar Pulse Width Modulation (PWM). These proposed blocks were designed and simulated using MATLAB/Simulink software. Performance improvement of the power quality was measured in terms of current and voltage harmonic percentage, where the PV-inverter with HCC produced slightly lower current harmonic percentage of THDi = 25.45% compared to THDi = 29.19% from the conventional strategy. The proposed HCC technique resulted in a 3.74% improvement in power quality. When combined with an additional LC-filter, the power quality was further enhanced, achieving improvements of 74% in voltage and 82% in current harmonic reduction, respectively.

Authors

Publication Details

Journal
Journal of Power and Energy Engineering
Published
2025-01-01
DOI
https://doi.org/10.4236/jpee.2025.139006
Primary Topic
Microgrid Control and Optimization
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Enhancing Power Quality in PV Inverters Using Hysteresis Current Control (HCC) Technique

Hamzah Ahmad, Syahar Azalia Ab Shukor, Nur Asmiza Selamat, Atikah Razi
Journal of Power and Energy Engineering
Microgrid Control and Optimization
article

Enhancing Power Quality in PV Inverters Using Hysteresis Current Control (HCC) Technique

Hamzah Ahmad, Syahar Azalia Ab Shukor, Nur Asmiza Selamat, Atikah Razi
article en

Abstract

This manuscript proposed three closed-loop strategies using Hysteresis Current Control (HCC) for PV-inverter application. A string-PV arrangement of parallel and series-PV connection (Np = 6 and Ns = 10) aims for target input voltage of ±400 V, intended for Off-grid PV (OGPV) system. The PV-system design is tested under Standard Test Condition (STC) where the irradiance and temperature are kept constant at 1000 W/m2 and 25˚C, respectively. Full-bridge inverter is chosen as the PV-inverter since it is commonly used inverter for unfolding purposes in the PV application. The proposed PV-inverter with HCC strategy was designed and compared with the PV-inverter using conventional Bipolar Pulse Width Modulation (PWM). These proposed blocks were designed and simulated using MATLAB/Simulink software. Performance improvement of the power quality was measured in terms of current and voltage harmonic percentage, where the PV-inverter with HCC produced slightly lower current harmonic percentage of THDi = 25.45% compared to THDi = 29.19% from the conventional strategy. The proposed HCC technique resulted in a 3.74% improvement in power quality. When combined with an additional LC-filter, the power quality was further enhanced, achieving improvements of 74% in voltage and 82% in current harmonic reduction, respectively.

Journal of Power and Energy EngineeringVol. 13(09)
Tenaga Nasional Berhad, Universiti Teknikal Malaysia Melaka
Openalex Percentile: Top 69%
Microgrid Control and Optimization
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.