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Updated: Mar 27, 2026

Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator
Published on: February 14, 2025
Optimal clustering of MGs based on droop controller for improving reliability using a hybrid of harmony search and
Mohammad Abedini1, Mohammad H Moradi1, S M Hosseinian2
1Faculty of Engineering, Department of Electrical Engineering, Bu-Ali Sina University, Hamedan, Iran.
Abstract:
This paper proposes a novel method to address reliability and technical problems of microgrids (MGs) based on designing a number of self-adequate autonomous sub-MGs via adopting MGs clustering thinking. In doing so, a multi-objective optimization problem is developed where power losses reduction, voltage profile improvement and reliability enhancement are considered as the objective functions. To solve the optimization problem a hybrid algorithm, named HS-GA, is provided, based on genetic and harmony search algorithms, and a load flow method is given to model different types of DGs as droop controller. The performance of the proposed method is evaluated in two case studies. The results provide support for the performance of the proposed method.
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