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Abstract The shift toward renewable-dominated power systems has significantly reduced inertia, challenging traditional stability metrics. This paper introduces system rigidity as a unified measure capturing frequency, voltage, and angle stability in low-inertia grids. A Rigidity Response Threshold (RRT) is defined as the maximum disturbance a system can endure without instability, derived using a Lyapunov-based framework. Validation through field tests on the Fót microgrid – including pump motor switching and PV disconnection – confirms that system rigidity aligns with known stability boundaries and outperforms inertia- or RoCoF-based indicators in sensitivity. The proposed rigidity metric and RRT offer operators a holistic tool to assess and enhance stability, supporting the deployment of synthetic inertia, fast frequency response, and advanced control strategies for future resilient power systems. Key words: frequency stability, low-inertia systems, renewable energy integration, synthetic inertia, system rigidity
References [1] Kundur, P., Power System Stability and Control, McGraw-Hill, 1994. [2] Machowski, J., Bialek, J., Bumby, J., Power System Dynamics: Stability and Control, Wiley, 2020. [4] Dörfler, F., Simpson-Porco, J. W., Bullo, F., “Breaking the hierarchy: Distributed control and economic optimality in microgrids,” IEEE Transactions on Control of Network Systems, 2016. [5] Khalil, H. K., Nonlinear Systems, Prentice Hall, 2002. [6] Zhong, Q.-C., Weiss, G., “Synchronverters: Inverters that mimic synchronous generators,” IEEE Transactions on Industrial Electronics, 2011. [9] Simpson-Porco, J. W. et al., “Voltage collapse in complex power grids,” Nature Communications, 2016. [11] Wang, X., Blaabjerg, F., “Harmonic stability in power electronic-based power systems: Concept, modeling, and analysis,” IEEE Transactions on Smart Grid, 2019. [12] Milano et al., “Foundations and challenges of low-inertia systems,” PSCC, 2018. [14] Milano, F., Dörfler, F., Hug, G., Hill, D. J., Verbič, G., “Foundations and challenges of low-inertia systems,” Proceedings of the Power Systems Computation Conference (PSCC), 2018. [15] Lian, J., Zhang, Y., Ma, C., Yang, H., “Wide-area measurement system-based transient stability assessment considering renewable generation,” IEEE Transactions on Power Systems, 2017. [17] Fernández-Guillamón, A., Gómez-Lázaro, E., Muljadi, E., Molina-García, Á., “Power systems with high renewable energy sources: A review of inertia and frequency control strategies,” Renewable and Sustainable Energy Reviews, 2019. [18] Zhou, N., Meng, D., Huang, Z., Welch, G., “Dynamic state estimation of a synchronous machine using PMU data: A comparative study,” IEEE Transactions on Smart Grid, 2016. |
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