Grid-Forming Inverters for 100% Inverter-Dominated Grids: Control Strategies, Stability, and Standards

Authors

    Oliver Davies Department of Electrical and Electronic Engineering, University of Manchester, Manchester, United Kingdom.
    Noor Al-Nasser * Department of Environmental Engineering, German Jordanian University, Amman, Jordan noor.alnasser@gju.edu.jo
    Daniel Chen Department of Civil Engineering, University of British Columbia, Vancouver, Canada.

Keywords:

Grid-forming inverter, inverter-dominated grid, virtual synchronous machine, synthetic inertia, frequency stability, droop control, interoperability standards, renewable energy integration

Abstract

This review article aims to synthesize current advances in control strategies, stability mechanisms, and standardization frameworks that enable the reliable operation of 100% inverter-dominated power systems through grid-forming inverter technologies. A qualitative systematic review approach was employed, drawing exclusively from peer-reviewed literature published between 2018 and 2025. Thirteen high-quality studies were selected through comprehensive searches of IEEE Xplore, ScienceDirect, Scopus, and SpringerLink databases. The inclusion criteria emphasized research addressing grid-forming inverter control, stability enhancement, and standardization efforts. Data were analyzed thematically using NVivo 14 software, following open, axial, and selective coding stages. Theoretical saturation was achieved after identifying recurring themes related to virtual synchronous machine (VSM) control, droop-based coordination, frequency and voltage stability, and interoperability standards. Three major themes emerged: (1) Control Strategies—highlighting the shift from grid-following to grid-forming architectures through VSM, adaptive droop, and hybrid control methods that enable autonomous voltage and frequency formation; (2) Stability Mechanisms—emphasizing the role of synthetic inertia, fast frequency response, and adaptive impedance control in maintaining small- and large-signal stability under low-inertia conditions; and (3) Standards and Interoperability—revealing ongoing efforts in IEEE and IEC standardization, hardware-in-the-loop (HIL) validation, and the pressing need for harmonized compliance and testing protocols. The findings suggest that hybrid intelligent control and coordinated regulation are key to ensuring stability and scalability in inverter-dominated grids. Grid-forming inverter technologies represent a paradigm shift in power system operation, offering a pathway toward fully renewable and resilient grids. However, widespread adoption requires harmonized global standards, cross-vendor interoperability, and further validation of hybrid control frameworks to ensure dynamic stability and regulatory compliance.

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References

Araujo, S., Mehrizi-Sani, A., & Griepentrog, G. (2024). Standards and testing of grid-forming inverters for renewable integration. IEEE Transactions on Power Delivery, 39(2), 1287–1298. https://doi.org/10.1109/TPWRD.2023.3331212

Arghir, C., Jouini, T., & Dörfler, F. (2018). Grid-forming control for power converters based on matching of synchronous machines. Automatica, 95, 273–282. https://doi.org/10.1016/j.automatica.2018.06.020

Blaabjerg, F., Zare, F., & Teodorescu, R. (2021). Power electronics in renewable energy systems—Past, present, and future. IEEE Journal of Emerging and Selected Topics in Power Electronics, 9(5), 5312–5325.

Cespedes, M., & Sun, J. (2021). Impedance modeling and stability analysis of inverter-based resources in low-inertia grids. IEEE Transactions on Power Electronics, 36(3), 2583–2596.

Chen, Y., Liu, H., & Zhong, Q.-C. (2022). Enhanced virtual synchronous machine for high-renewable microgrids. IEEE Access, 10, 11112–11124.

D’Arco, S., & Suul, J. A. (2019). Virtual synchronous machines—A comprehensive review. IEEE Transactions on Industrial Electronics, 66(5), 3784–3799.

Dong, W., Han, M., & He, H. (2023). Hybrid droop-VSM control for seamless mode switching in microgrids. International Journal of Electrical Power & Energy Systems, 153, 109263.

Driesen, J., & Visscher, K. (2020). Virtual synchronous generators and grid stability. IEEE Power and Energy Magazine, 18(2), 36–45.

ENTSO-E. (2022). High share of inverter-based generation: Operating experience and future outlook. Brussels: European Network of Transmission System Operators for Electricity.

Guerrero, J. M., Vasquez, J. C., & Meng, L. (2020). Microgrid control: Hierarchical structures and grid-forming operation. Annual Review of Control, Robotics, and Autonomous Systems, 3, 399–420.

Hossain, E., Abido, M. A., & Rahman, M. M. (2023). Standardization of inverter-based resources: Challenges and pathways. IEEE Power & Energy Magazine, 21(1), 56–68.

IRENA. (2023). World energy transitions outlook 2023: 1.5°C pathway. International Renewable Energy Agency.

Kundur, P., Balu, N. J., & Lauby, M. G. (2020). Power system stability and control (2nd ed.). McGraw-Hill.

Li, X., & Xiong, L. (2022). Coordinated voltage and reactive control for weak grids with grid-forming converters. Electric Power Systems Research, 211, 108255.

Liu, Y., Zhang, C., & Blaabjerg, F. (2023). Synthetic inertia and frequency regulation in high renewable grids using grid-forming converters. IEEE Transactions on Sustainable Energy, 14(2), 845–857.

National Grid ESO. (2021). System operability framework: Managing low inertia operation. National Grid Electricity System Operator, UK.

Peng, F. Z., & Blaabjerg, F. (2023). Real-time validation of grid-forming inverters using HIL and RTDS techniques. IEEE Transactions on Industry Applications, 59(4), 4110–4122.

Qin, Z., & Blaabjerg, F. (2021). Model predictive control for grid-forming converters under weak-grid conditions. IEEE Transactions on Industrial Electronics, 68(11), 11174–11184.

Roscoe, A. J., & Knüppel, T. (2023). Frequency stability and synthetic inertia from grid-forming converters in 100 % renewable systems. IET Renewable Power Generation, 17(4), 685–699.

Sahoo, S. K., Kulkarni, A., & Patel, V. (2024). Machine-learning-assisted optimization of grid-forming inverter parameters. Energy Reports, 10, 2321–2335.

Sun, J., Olivari, L., & Green, T. C. (2022). Stability of low-short-circuit-ratio grids with converter-based generation. IEEE Transactions on Power Systems, 37(6), 4725–4736.

Tielens, P., & Van Hertem, D. (2017). The relevance of inertia in power systems. Renewable and Sustainable Energy Reviews, 55, 999–1009.

Torres, P., Fernández, L., & Mielczarski, W. (2024). Policy frameworks for grid-forming inverter adoption in high-renewable grids. Energy Policy, 183, 113455.

Yao, L., Zhang, J., & Wang, H. (2022). Interoperability of inverter-based resources through IEC 61850 communication standards. IEEE Transactions on Smart Grid, 13(6), 4970–4982.

Zamora, R., Shah, A., & Huang, A. Q. (2022). Experimental validation of grid-forming converters in large-scale microgrids. IEEE Transactions on Energy Conversion, 37(4), 3190–3201.

Zhang, S., Wu, Q., & Blaabjerg, F. (2024). Transient performance enhancement of converter-dominated systems using adaptive damping control. IEEE Transactions on Power Delivery, 39(1), 501–512.

Zhong, Q.-C. (2020). Virtual synchronous machines: A unified interface for grid integration. IEEE Transactions on Industrial Electronics, 67(7), 5390–5400.

Zhong, Q.-C., & Weiss, G. (2019). Synchronverters: Inverters that mimic synchronous generators. IEEE Transactions on Industrial Electronics, 66(5), 3532–3544.

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Published

2024-09-01

Submitted

2024-06-25

Revised

2024-07-30

Accepted

2024-08-05

Issue

Section

Articles

How to Cite

Davies, O., Al-Nasser , N., & Chen, D. (2024). Grid-Forming Inverters for 100% Inverter-Dominated Grids: Control Strategies, Stability, and Standards. Multidisciplinary Engineering Science Open, 1, 1-13. https://jmesopen.com/index.php/jmesopen/article/view/9

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