Work

Optimal Frequency Control of an Autonomous Microgrid Using a Virtual Synchronous Generator Based on the Ant Colony Optimization Algorithm

Year: 2025

Type: article

Abstract: Maintaining frequency stability in isolated microgrids is very challenging due to the unpredictable and fluctuating output of local renewable energy sources, such as wind and solar. Furthermore, given the growing use of distributed generation via power electronics interfaces, the low natural inertia in such systems makes the task more challenging. To solve this issue, the Virtual Synchronous Generator (VSG) is a promising tool for modelling the inertial response of traditional synchronous machines. By adjusting two important parameters, the damping factor D and the virtual moment of inertia J, this paper proposes an optimisation method to enhance the performance of VSG. The Ant Colony Optimisation (ACO) algorithm is used to determine the optimal values for these parameters. Simulation results using MATLAB/Simulink show that the optimised settings significantly improve the microgrid's dynamic frequency behaviour when compared to default control settings, which lowers frequency deviations and speeds up recovery.

Source: International Journal of Electrical and Electronics Engineering

DOI: 10.14445/23488379/ijeee-v12i5p106

Authors: Hung Nguyen-Van, Hoan Hoang-Van, Chuong Trinh-Trong

Institution: Hanoi University of Industry

Language: English

Topic: Microgrid Control and Optimization

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure

Open Access status: hybrid

Funder: Đại học Công nghiệp Hà Nội