Performance Analysis of V2G-Enabled Microgrid using Low-Fidelity Simulation for Grid Support Applications

Khadim Moin Siddiqui*, Himanshu Dixit**, Kaushal Chandra***, Surya Bhushan Dubey****
*-**, **** Department of Electrical and Electronics Engineering, S.R. Institute of Management and Technology, Lucknow, Uttar Pradesh, India.
*** S.R. Institute of Management and Technology, Lucknow, Uttar Pradesh, India.
Periodicity:July - December'2025
DOI : https://doi.org/10.26634/jcir.13.2.22574

Abstract

The increasing integration of electric vehicles (EVs) into power systems offers a promising avenue for grid support through Vehicle-to-Grid (V2G) technology. This study presents a low-fidelity simulation-based evaluation of a bidirectional V2G control strategy designed to enhance microgrid stability and frequency regulation. The proposed scheme maintains AC grid frequency within a narrow tolerance of ±0.05–0.06 Hz during dynamic load variations, thereby improving overall grid resilience. Controlled bidirectional power flow in both Grid-to-Vehicle (G2V) and Vehicle-to-Grid (V2G) modes ensures smooth operation, stable converter performance, and minimal stress on the battery. Reactive power compensation and tightly regulated DC-link voltage (700 V ± 5 V) further enhance voltage quality and converter reliability. The simplified simulation environment prioritizes computational efficiency while enabling effective evaluation of control performance, sensitivity analysis, and system-level planning. The results demonstrate the practical feasibility of V2G-enabled microgrids and highlight the strategic role of low-fidelity simulation as a fast, flexible, and reliable tool for early-stage design and optimization.

Keywords

V2G, Microgrid Stability, Frequency Control, Power Flow, Low-Fidelity, SOC.

How to Cite this Article?

Siddiqui, K. M., Dixit, H., Chandra, K., and Dubey, S. B. (2025). Performance Analysis of V2G-Enabled Microgrid using Low-Fidelity Simulation for Grid Support Applications. i-manager’s Journal on Circuits and Systems, 13(2), 60-69. https://doi.org/10.26634/jcir.13.2.22574

References

[8]. Grillo, S., et al. (2021). Low-fidelity simulation for rapid prototyping in smart grids. In Proceedings of the IEEE Power & Energy Society General Meeting (PES GM). IEEE.
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