Future Low Inertia Power Systems: A Comprehensive Review of Virtual Inertia Emulation Techniques and Inertia Estimation Methods

Authors

  • Tamadher M. Al-Momani Al-Balqa Applied University
  • Mohammad Al-Momani

DOI:

https://doi.org/10.35682/jje.v1i2.694

Keywords:

Future low inertia power systems, Renewable energy penetration, Frequency response, Virtual inertia emulation, Virtual synchronous machine, Virtual induction machine, Wind turbine inertia algorithm, Inertia estimation, Model-based techniques, Measurement-based technique, VISMA

Abstract

Abstract. This review paper provides a comprehensive analysis of future low-inertia power systems, focusing on the challenges posed by increased renewable energy penetration. The impact of low inertia on frequency response and system stability is examined, along with the critical penetration limit for renewable energy sources. The paper reviews various virtual inertia emulation techniques, including virtual synchronous machines, virtual induction machines, and inertia emulation in wind turbines and solar PV panels. Additionally, it explores specific methods such as VISMA, virtual synchronous generator, synchronverter, power synchronization control, and cascade virtual synchronous machine. The review also covers inertia algorithms in wind turbines, encompassing droop control, hidden inertia emulation, fast power reserve, over speed control, and pitch angle control. Furthermore, the paper discusses inertia estimation techniques, including both model-based and measurement-based approaches. The insights provided in this review will assist researchers and practitioners in developing effective solutions for addressing low inertia challenges in future power systems with high renewable energy integration.

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Published

2023-09-25

How to Cite

M. Al-Momani, T., & Al-Momani, M. (2023). Future Low Inertia Power Systems: A Comprehensive Review of Virtual Inertia Emulation Techniques and Inertia Estimation Methods . Jordan Journal of Energy, 1(2). https://doi.org/10.35682/jje.v1i2.694

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