JOURNAL ARTICLE

Fuzzy logic-based MPPT controllers for three-phase grid-connected inverters

Md Fahim AnsariS. ChatterjiAtif Iqbal

Year: 2011 Journal:   International Journal of Sustainable Energy Vol: 32 (3)Pages: 186-195   Publisher: Taylor & Francis

Abstract

In photovoltaic (PV) applications, a maximum power point tracking (MPPT) module is necessary to extract the whole energy that the PV module can generate depending on the instantaneous conditions of the PV system. A PV module is obtained by connecting a number of solar cells in series and parallel, which causes voltage and current to increase at module terminations. The present work is based on a three-phase grid-connected inverter designed for a 100 kW PV power plant that uses an MPPT scheme based on fuzzy logic controllers. The whole system presented is simulated in MATLAB. The fuzzy logic-based MPPT controllers show accurate and fast responses and are integrated into the inverter, so that the there is no requirement for a dc–dc converter. The inverter allows full control of reactive power.

Keywords:
Maximum power point tracking Photovoltaic system Inverter Control theory (sociology) Grid-connected photovoltaic power system Fuzzy logic Maximum power principle MATLAB Computer science Engineering Three-phase Electronic engineering Voltage Electrical engineering Control (management)

Metrics

21
Cited By
0.69
FWCI (Field Weighted Citation Impact)
19
Refs
0.74
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Photovoltaic System Optimization Techniques
Physical Sciences →  Energy →  Renewable Energy, Sustainability and the Environment
Microgrid Control and Optimization
Physical Sciences →  Engineering →  Control and Systems Engineering
Solar Radiation and Photovoltaics
Physical Sciences →  Computer Science →  Artificial Intelligence
© 2026 ScienceGate Book Chapters — All rights reserved.