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arXiv · 2402.04701

Exhaustive Classification and Quantification of Coupling Modes in Power Systems with Power Electronics

Pamela Zoghby·Bogdan Marinescu·Antoine Rosse·Gregoire Prime
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Abstract

Due to the energy transition, today's electrical networks include synchronous machines and inverter-based resources interfacing renewable energies such as wind turbines, solar panels, and Battery Energy Storage Systems to the grid. In such systems, interactions known as coupling modes or dynamic interactions, between synchronous machines and inverter-based resources may arise. This paper conducts a clear and exhaustive study on a proposed benchmark, in order to analyze, quantify and classify these new types of modes. Detailed models representing electromagnetic transient phenomena are developed and linearized, then used for conducting modal analysis to fully characterize the small-signal stability of the system. Also, a sensitivity analysis is presented to evaluate the impact of key parameters on the detected modes of oscillation. Besides the exhaustive classification of the possible coupling modes, the proposed benchmark and methodology can be used to study any given power system in a minimal order modeling. The case of a fully detailed power grid based on the IEEE 39 bus system was studied as an illustrative example.

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Pamela Zoghby, Bogdan Marinescu, Antoine Rosse, Gregoire Prime. 2024-02-07. Exhaustive Classification and Quantification of Coupling Modes in Power Systems with Power Electronics. https://arxiv.org/abs/2402.04701

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