Control Algorithm for an Inverter-Based Virtual Synchronous Generator with Adjustable Inertia

This paper presents the design and implementation of a control algorithm for power converters in a microgrid, with the main objective of providing the flexibility to adjust the system inertia. The increasing integration of renewable energy sources in microgrids has driven the development of advanced control techniques to ensure stability and power quality. The proposed algorithm combines droop control, synchronverter dynamics, and virtual impedance to achieve a robust and efficient control strategy. Simulations were conducted to validate the algorithm’s performance, demonstrating its capability to maintain voltage within acceptable limits and improve the inertial response of the microgrid. The results contribute to the advancement of intelligent and resilient microgrid development, which is essential for the transition towards a more sustainable energy system.

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Publication Details

Journal
Eng—Advances in Engineering
Published
2025-09-05
DOI
https://doi.org/10.3390/eng6090231
Primary Topic
Microgrid Control and Optimization
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
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article

Control Algorithm for an Inverter-Based Virtual Synchronous Generator with Adjustable Inertia

Jesús E. Valdez-Reséndiz, Rafael A. Núñez-Rodríguez, Johnny Posada, Julio C. Rosas‐Caro et al.
Eng—Advances in Engineering
Microgrid Control and Optimization
article

Control Algorithm for an Inverter-Based Virtual Synchronous Generator with Adjustable Inertia

Jesús E. Valdez-Reséndiz, Rafael A. Núñez-Rodríguez, Johnny Posada, Julio C. Rosas‐Caro, J.C. Avila Valencia, Christian A. Villada-Leon
article en

Abstract

This paper presents the design and implementation of a control algorithm for power converters in a microgrid, with the main objective of providing the flexibility to adjust the system inertia. The increasing integration of renewable energy sources in microgrids has driven the development of advanced control techniques to ensure stability and power quality. The proposed algorithm combines droop control, synchronverter dynamics, and virtual impedance to achieve a robust and efficient control strategy. Simulations were conducted to validate the algorithm’s performance, demonstrating its capability to maintain voltage within acceptable limits and improve the inertial response of the microgrid. The results contribute to the advancement of intelligent and resilient microgrid development, which is essential for the transition towards a more sustainable energy system.

Eng—Advances in EngineeringVol. 6(9)
Unidades Tecnológicas de Santander (CO), Universidad Autónoma de Occidente (CO), Universidad Panamericana (MX), Tecnológico de Monterrey (MX)
Universidad Panamericana
Openalex Percentile: Top 71%
Microgrid Control and Optimization
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