Presentation Details
| Data-Driven Modeling of Photovoltaic Solar Inverter Dynamics Timothy Hansen. Colorado State University |
Abstract
The trend in electric power systems is the displacement of traditional generation (e.g., coal, natural gas) with renewable energy resources (e.g., PV solar) and battery energy storage. These resources are interfaced to the grid through power electronics, commonly termed inverter-based resources (IBRs), which fundamentally changes voltage and frequency behavior across the system. Detailed IBR models are often proprietary, while electromagnetic transient (EMT) models are computationally expensive for large-scale studies. This presentation introduces a data-driven modeling framework that uses measured PV inverter responses to develop reduced-order dynamic representations suitable for grid-level analysis. The proposed approach enables scalable and repeatable inverter dynamic modeling without requiring access to internal control details, enabling improved assessment of IBR-dominated system performance.
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No part of this publication may be reproduced, distributed, or transmitted in any form or by any means, including photocopying, recording, or other electronic or mechanical methods, without the prior written permission of the author.