2024 : 4 : 27
Hassan Bevrani

Hassan Bevrani

Academic rank: Professor
ORCID:
Education: PhD.
ScopusId: 55913436700
Faculty: Faculty of Engineering
Address: Dept. Of Electrical and Computer Eng, University of Kurdistan, Allameh Hamdi Blvd, Sanandaj PO Box 416, P. C: 66177-15175, Kurdistan, Iran
Phone: +98-87-33624001

Research

Title
A Hybrid Fuzzy-Predictive Control for Smooth Transition Between Operating Modes of Voltage Source Inverters
Type
Presentation
Keywords
Total harmonic distortion , Technological innovation , Renewable energy sources , Voltage source inverters , Simulation , Instruments , Inverters
Year
2022
Researchers Sahba Moslami Moghadam ، Qobad Shafiee ، Mobin Naderi ، Hassan Bevrani

Abstract

Inverter-based distributed generations (DGs) have arisen as an efficient answer for the exploitation of renewable energies. In addition to regular power generation in the grid presence, DG systems must satisfy local loads during main grid outages. Hence, their inverters need to be able to operate in both grid-connected and islanded modes. These systems operate as current sources in grid-connected mode and as voltage sources for the load in islanded mode. The transition between operational modes might contort the voltage or current waveforms due to the mismatch between the inverter voltage and the grid voltage. Therefore, a comprehensive control method is required for smooth transitions without abrupt changes and distortions. In this paper, a hybrid fuzzy-predictive control strategy is presented, which leads to improved inverter dynamic behavior in transitions. This improvement has been measured using various control criteria in the simulations. The suggested control method mitigates total harmonic distortion (THD), enhances steady-state error, and reduces the overshoot/undershoot of the inverter time response.