Aggregated DERA Model Parameterization via Online Moving Horizon Estimation

• Published in: IEEE transactions on smart grid Vol. 16; no. 4; pp. 3030 - 3044
• Main Authors: Vasquez-Plaza, Jesus D., Subedi, Sunil, Bhujel, Niranjan, Hansen, Timothy M., Tonkoski, Reinaldo, Rengifo, Fabio Andrade
• Format: Journal Article
• Language: English
• Published: IEEE 01.07.2025
• Subjects: Accuracy; Aggregated inverter-based generation; Computational modeling; DER_A model; Distributed power generation; Estimation; Mathematical models; online parameter estimation; Power system dynamics; Power system stability; smooth function; Smoothing methods; Stability analysis; Voltage control
• ISSN: 1949-3053
• DOI: 10.1109/TSG.2025.3556333

This paper introduces a methodology for parameterizing the DER_A model using a novel smooth mathematical representation, simplifying the process and preserving accuracy in modeling inverter-based generator (IBG). The methodology employs an online parameterization process that can operate in real-time. The model parameterization process is structured into five sequential steps, each targeting a specific aspect of the DER_A model through moving horizon estimation. This approach adapts to systems with varying voltage and frequency support requirements by selectively applying each step. Simulation results on systems with both known and unknown parameters validate the methodology's effectiveness. The online moving horizon estimation technique accurately captures the dynamics of the overall system and ensures that the parameterized DER_A model closely mirrors the real system's voltage, current, and power dynamics. The findings highlight the potential of this methodology to substantially improve and simplify the dynamic modeling of power systems, paving the way for more reliable and robust IBG and grid integration.