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Hassan Bevrani

Hassan Bevrani

Academic rank: Professor
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


Application of Neuro-Fuzzy Controller on Voltage and Frequency Stability in Islanded Microgrids
Microgrid, Distributed Generation, Islanded Mode, Droop characteristics, ANFIS, System Stability
Researchers Ali Hesami Naghshbandy ، Hassan Bevrani ، Shoresh shokoohi


This paper presents a new droop control strategy based on neuro-fuzzy technique to minimize voltage and frequency deviations in islanded microgrids (MGs) under severe changes in load. In islanded MGs, due to lack of the backup power, the imbalance between consumption and generation usually leads to violent voltage/frequency fluctuations. Therefore, designing a reliable control structure to prevent the MG instability is needed. The proposed control strategy is designed to maintain the system stability and minimize the voltage/frequency fluctuations regardless of the MG structure. The most important advantage of the proposed controller is independency from the MG structure and operating conditions. The simulation results show the appropriate operation and efficacy of the proposed controller in the presence of severe changes in load.