Application of An Adaptive Network-based Fuzzy Inference System to Control a Hybrid Solar and Wind Grid-Tie Inverter


  • D. N. Truong Faculty of Electrical and Electronics Engineering, Ho Chi Minh City University of Technology and Education, Vietnam
  • V. T. Ngo Faculty of Electrical and Electronics Engineering, Ho Chi Minh City University of Technology and Education, Vietnam
  • M. S. N. Thi Faculty of Electrical and Electronics Engineering, Ho Chi Minh City University of Technology and Education, Vietnam
  • A. Q. Hoang Faculty of Vehicle and Energy Engineering, Ho Chi Minh City University of Technology and Education, Vietnam
Volume: 11 | Issue: 5 | Pages: 7673-7677 | October 2021 |


In this paper, the application of an Adaptive Network-based Fuzzy Inference System (ANFIS) to control a hybrid solar and wind grid-tie inverter in order to reduce power oscillations and enhance power quality is presented. To extract the maximum power from the PV system, a Perturb and Observe (P&O) algorithm is presented that tracks the Maximum Power Point (MPP). Time-domain simulation results of the studied system are performed in MATLAB/SIMULINK under different operating conditions such as changing irradiation and short-circuit faults in the power grid. From the simulation results, it can be concluded that the designed ANFIS controller and the proposed P&O algorithm perform better than the traditional PI controller and improve transient responses under severe operating conditions.


hybrid, grid-tie inverter, perturb and observe, ANFIS


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How to Cite

D. N. Truong, V. T. Ngo, M. S. N. Thi, and A. Q. Hoang, “Application of An Adaptive Network-based Fuzzy Inference System to Control a Hybrid Solar and Wind Grid-Tie Inverter”, Eng. Technol. Appl. Sci. Res., vol. 11, no. 5, pp. 7673–7677, Oct. 2021.


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