Application of An Adaptive Network-based Fuzzy Inference System to Control a Hybrid Solar and Wind Grid-Tie Inverter
Received: 16 August 2021 | Revised: 5 September 2021 | Accepted: 11 September 2021 | Online: 12 October 2021
Corresponding author: D. N. Truong
Abstract
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.
Keywords:
hybrid, grid-tie inverter, perturb and observe, ANFISDownloads
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Copyright (c) 2021 D. N. Truong, V. T. Ngo, M. S. N. Thi, A. Q. Hoang
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