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Fuzzy logic enhanced control for a single‐stage grid‐tied photovoltaic system with shunt active filtering capability
Author(s) -
Ayachi Amor Yacine,
Hamoudi Farid,
Kheldoun Aissa,
Didier Gaëtan,
Rabiai Zakaria
Publication year - 2021
Publication title -
international transactions on electrical energy systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.428
H-Index - 42
ISSN - 2050-7038
DOI - 10.1002/2050-7038.13008
Subject(s) - photovoltaic system , power factor , maximum power point tracking , control theory (sociology) , robustness (evolution) , inverter , ac power , fuzzy logic , computer science , pulse width modulation , engineering , grid connected photovoltaic power system , electronic engineering , control (management) , electrical engineering , voltage , artificial intelligence , biochemistry , chemistry , gene
Summary In this paper, a three‐phase single‐stage grid‐connected photovoltaic (PV) system with active power filtering capability by means of a three‐level T‐type inverter is presented. The system is intended to fulfill many functions: harmonic mitigation, unity power factor operation, maximum power extraction from PV source, and so on. For the proposed system to achieve these tasks with a good dynamic performance, a new control strategy based on the fuzzy logic controller is developed. Fuzzy control has three main stages and each one requires many settings or selection of parameters. A new approach of setting the scaling factors which considerably affect the system's response is proposed. Furthermore, a methodology to properly set the fuzzy rules is suggested. The electrical power chain of the system comprises a farm of a PV source, three‐level T‐type inverter space vector pulse width modulation controlled, inductor filter, non‐linear load, and the utility grid. To evaluate the performance of the proposed control, a processor‐in‐the‐loop is performed as a hardware verification of the inverter control algorithm using a low‐cost STM32F4 discovery board, while the power circuit plant is modeled in the host computer using Matlab/Simulink. The obtained results are very satisfactory and confirm the role of each component, especially in terms of maximum power tracking, power quality, unity power factor operation, and control robustness.

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