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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


ANN-Based Frequency and Tie-Line Power Control in Interconnected Microgrids
Microgrids , Frequency control , Artificial neural networks , Load modeling , Frequency response , Instruments , Automation
Researchers Rahmatollah Mirzaei ، Hassan Bevrani ، Sharara Rehimi


Microgrids can operate in three different possible modes, including grid-connected, islanded and the interconnected operation modes. One of the big challenges in the interconnected microgrids is frequency and tie-line power control because of the nonlinearity behavior of the interconnected microgrids. Thus an adaptive controller is needed for solving this problem. In response to this challenge, in the present paper, an artificial neural network controller is presented. The control methodology is applied to two-AC interconnected microgrids considering a simplified frequency response model. The effectiveness of the proposed controller is examined by simulation. The simulation results show that in different conditions, artificial neural network controllers can operate better than the conventional proportional-integral controllers.