Bus Voltage Stabilization of DC Microgrid by Controlling the Charging and Discharging of Energy Storage Devices Using ANFIS

Document Type : Original Article

Authors

1 Assistant Professor, Department of Electrical Engineering, Faculty of Engineering, Malayer University, Malayer, Iran

2 Master's Graduate, Department of Electrical Engineering, Faculty of Engineering, Malayer University, Malayer, Iran

10.22059/ses.2025.390599.1123

Abstract

In this paper, stabilization of a DC microgrid is investigated. The examined microgrid operates in an islanded mode, with a solar-based distributed generation source. The microgrid consists of four main components: a stochastic source, a stochastic load, a balancing load, and a stabilizer. The most crucial part of this circuit is the stabilizer branch, which includes a battery branch, a supercapacitor branch, and a voltage excess discharge branch. Various methods exist for controlling and stabilizing the voltage of microgrid, including the use of PI controllers and fuzzy control. In this paper, to reduce voltage ripple and stabilize the microgrid, the optimization of the membership functions of the fuzzy controller is performed using the Teaching-Learning-Based Optimization (TLBO) algorithm. The optimized outputs of the fuzzy controller with the TLBO algorithm lead to improvement in the switching rates of the three stabilizer branches, ultimately resulting in reduced voltage ripple, decreased battery charge and discharge cycles, and increased battery lifespan that is used in microgrid. The model of the examined microgrid is simulated in Matlab/Simulink, and three control methods—PI, fuzzy, and fuzzy optimized by TLBO algorithm—are investigated and compared.

Keywords

Main Subjects

References

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Journal of sustainable Energy Systems
Volume 4, Issue 3
July 2025
Pages 311-338

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