Robust Adaptive Supplementary Control for Damping Weak-Grid SSOs Involving IBRs

Fuente: arXiv
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Auteurs principaux: Ameli, Sina, Karunaratne, Lilan, Chaudhuri, Nilanjan Ray, Lagoa, Constantino
Format: Preprint
Publié: 2025
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author Ameli, Sina
Karunaratne, Lilan
Chaudhuri, Nilanjan Ray
Lagoa, Constantino
author_facet Ameli, Sina
Karunaratne, Lilan
Chaudhuri, Nilanjan Ray
Lagoa, Constantino
contents Subsynchronous oscillations (SSOs) involving grid-following converters (GFLCs) connected to weak grids are a relatively new phenomena observed in modern power systems. SSOs are further exacerbated when grids become weaker because lines are disconnected due to maintenance or following faults. Such undesirable oscillations have also led to curtailment of inverter-based resource (IBR) outputs. In contrast to most literature addressing the issue by retuning/redesigning of standard IBR controllers, we propose a robust adaptive supplementary control for damping of such SSOs while keeping standard controls unaltered. As a result, uncertainty in system conditions can be handled without negatively impacting the nominal IBR performance. To that end, the adaptive control law is derived for a GFLC connected to the grid, where the grid is modeled by the Thevenin's equivalent representation with uncertainty and disturbances. The theoretical result provides dissipativity certificate for the closed-loop error dynamics with sufficient conditions for stability. The effectiveness of the developed controller is validated with several case studies conducted on a single-GFLC-infinite-bus test system, the IEEE $2$-area test system, wherein some of the synchronous generators are replaced by GFLCs, and a modified IEEE $5$-area test system with two GFLCs. The findings demonstrate that under very weak grid conditions, the proposed robust adaptive control performs well in stabilizing SSO modes, which a classical state-feedback control method fails to address.
format Preprint
id arxiv_https___arxiv_org_abs_2501_05693
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Robust Adaptive Supplementary Control for Damping Weak-Grid SSOs Involving IBRs
Ameli, Sina
Karunaratne, Lilan
Chaudhuri, Nilanjan Ray
Lagoa, Constantino
Optimization and Control
Subsynchronous oscillations (SSOs) involving grid-following converters (GFLCs) connected to weak grids are a relatively new phenomena observed in modern power systems. SSOs are further exacerbated when grids become weaker because lines are disconnected due to maintenance or following faults. Such undesirable oscillations have also led to curtailment of inverter-based resource (IBR) outputs. In contrast to most literature addressing the issue by retuning/redesigning of standard IBR controllers, we propose a robust adaptive supplementary control for damping of such SSOs while keeping standard controls unaltered. As a result, uncertainty in system conditions can be handled without negatively impacting the nominal IBR performance. To that end, the adaptive control law is derived for a GFLC connected to the grid, where the grid is modeled by the Thevenin's equivalent representation with uncertainty and disturbances. The theoretical result provides dissipativity certificate for the closed-loop error dynamics with sufficient conditions for stability. The effectiveness of the developed controller is validated with several case studies conducted on a single-GFLC-infinite-bus test system, the IEEE $2$-area test system, wherein some of the synchronous generators are replaced by GFLCs, and a modified IEEE $5$-area test system with two GFLCs. The findings demonstrate that under very weak grid conditions, the proposed robust adaptive control performs well in stabilizing SSO modes, which a classical state-feedback control method fails to address.
title Robust Adaptive Supplementary Control for Damping Weak-Grid SSOs Involving IBRs
topic Optimization and Control
url https://arxiv.org/abs/2501.05693