2024 : 2 : 25
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
Intelligent secondary control in smart microgrids: an on-line approach for islanded operations
Type
JournalPaper
Keywords
Microgrid (MG), Distributed generation (DG), Intelligent secondary voltage and frequency controller, Artificial neural networks (ANNs), Self-optimizing on-line controller
Year
2018
Journal OPTIMIZATION AND ENGINEERING
DOI
Researchers Hassan Bevrani ، Rahmat Khezri ، Sajjad Golshannavaz ، Shoresh shokoohi

Abstract

Dealing with islanded microgrids (MGs), this paper aims at improving the secondary control process to restrict the fluctuations in both the voltage and frequency signals. With the aim of retrieving these parameters at the nominal values, an intelligent control scheme is devised to adjust the corresponding control parameters. To do so, an on-line self-optimizing control approach is embedded in the MG’s central controller. In the tuning process, evolutionary-based techniques such as genetic algorithms provide proper initial adjustment for the parameters. Subsequently, an artificial neural network (ANN) is triggered to provide accurate online modification of the control parameters. Specifically, the training capability of the ANN mechanism along with its extensibility feature avoids the dependency of the controller on the operating point conditions and accommodates different changes and uncertainty reflections. Detailed simulation studies are conducted to investigate the performance of the proposed approach, and the results are discussed in depth.