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Tech & AI 3.1

New model predicts how electric vehicles disrupt power grid stability

Researchers have developed a framework to accurately measure how EV chargers inject electrical disturbances into low-voltage networks. The advance helps utilities and grid operators anticipate power quality problems before widespread EV adoption creates costly infrastructure failures or service outages.

Originaltitel: Parameterized small signal approach for identifying the admittance matrix of EVs for harmonic and supraharmonic propagation studies

Abstrakt

<p>The growing penetration of power-electronic loads such as EVs in low-voltage networks motivates accurate models for harmonic and supraharmonic impact assessment. This paper proposes a parameterized framework for EV front-end converters in which a detailed Simulink switching model is used to identify the frequency coupling matrix (FCM) and the resulting frequency-dependent admittance. Based on a focused literature review, the FCM approach is adopted to capture cross-frequency, cross-sequence, and cross-phase interactions. The framework is applicable to both two-level VSC and three-level Vienna-type converters and their control strategies, enabling scalable frequency-domain propagation studies. A charging-hub case study demonstrates integration of the identified admittances into a network model, where disturbance propagation is quantified via controlled current injection and evaluation of the resulting nodal voltage spectra.</p>

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