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Reactive Power Compensation in a Hybrid Renewable Energy System through Fuzzy Based Boost Converter
Author(s) -
Ch. Sathish,
I.A. Chidambram,
M. Manikandan
Publication year - 2022
Publication title -
problemele energeticii regionale
Language(s) - English
Resource type - Journals
ISSN - 1857-0070
DOI - 10.52254/1857-0070.2022.1-53.02
Subject(s) - power factor , ac power , renewable energy , maximum power point tracking , wind power , computer science , control theory (sociology) , total harmonic distortion , electrical engineering , engineering , voltage , inverter , control (management) , artificial intelligence
The reactive power compensation is essential during hybrid grid connected system, because the overall power factor of the power systems is reduced due to DC energy fed to the grid using electronic energy inverters. Increased load on the grid due to poor power factor triggers losses in the grid. The main objective of the work related to control the Reactive Power flow in grid connected Hybrid Renewable Energy System (PV-wind-battery). The objectives of the work were achieved by satisfying the load demand, injecting the reactive power from hybrid sources to the grid. First, the proposed technique with fuzzy based boost converter is implemented. It reduced power conversion stages, decreases the losses compared to existing Hybrid Grid-connected systems. The most significant result of the work is the conclusion that the fuzzy based boost converter should increase the Maximum power from solar PV Panel, The speed control of wind energy system is control by speed controller-fuzzy rule, and it created with low speed to high speed. The significance of the obtained results is that the used methodology allowed maximum energy utilized by hybrid renewable energy system to grid. The reactive power is maintained at zero level in order to ensure the unity power factor operation. But rather significantly enhances the small voltage fluctuation in the grid. In addition, to reduces the current total harmonic distortion to 1.9 %, which is good lower than the requirement for network operation. The proposed method is verified using MATLAB/Simulink. The simulation results were supported experimentally.

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