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Sub-Synchronous Oscillations Suppression in Weak Grids Using Adaptive Control and High-Pass Filter

Producción científica: Conference contributionrevisión exhaustiva

Resumen

This paper proposes a control strategy to mitigate sub-synchronous oscillations (SSO) in inverter-based power systems by integrating adaptive control and a high-pass filter (HPF) into the phase-locked loop (PLL) structure. Based on the enhanced PLL model, the positive-sequence impedance (Zpp) of a grid-connected inverter with an LCL filter is analytically derived, capturing the dynamic influence of control loops. While conventional PLL configurations are vulnerable to SSO, the proposed method, combining adaptive control tuning with HPF, effectively suppresses these oscillations. Theoretical analyses and frequency-domain simulations demonstrate improvements in system stability and dynamic performance, especially in scenarios with low short-circuit ratios (SCR).

Idioma originalEnglish
Título de la publicación alojada2025 57th North American Power Symposium, NAPS 2025
ISBN (versión digital)9781665477963
DOI
EstadoPublished - 2025
Evento57th North American Power Symposium, NAPS 2025 - Storrs, United States
Duración: oct 26 2025oct 28 2025

Serie de la publicación

Nombre2025 57th North American Power Symposium, NAPS 2025

Conference

Conference57th North American Power Symposium, NAPS 2025
País/TerritorioUnited States
CiudadStorrs
Período10/26/2510/28/25

Nota bibliográfica

Publisher Copyright:
© 2025 IEEE.

Financiación

This publication was supported by the University of Kentucky Energy Research Priority Area.

Financiadores
University of Kentucky Energy Research Priority Area program

    ODS de las Naciones Unidas

    Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

    1. Affordable and clean energy
      Affordable and clean energy

    ASJC Scopus subject areas

    • Energy Engineering and Power Technology
    • Renewable Energy, Sustainability and the Environment
    • Electrical and Electronic Engineering
    • Safety, Risk, Reliability and Quality
    • Control and Optimization
    • Modeling and Simulation

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