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Autori principali: Zhang, Xiaohui, Yang, Liaoyuan, Yang, Peng
Natura: Preprint
Pubblicazione: 2026
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Accesso online:https://arxiv.org/abs/2604.16212
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author Zhang, Xiaohui
Yang, Liaoyuan
Yang, Peng
author_facet Zhang, Xiaohui
Yang, Liaoyuan
Yang, Peng
contents This article proposes a data-driven framework to verify the distributed conditions that guarantee the system-wide stability for interconnected power systems. To guarantee system wide stability, the dynamics of each bus are required to satisfy an output differential passivity (ODP) condition with a sufficient index. These ODP indices uniformly quantify the impacts on the system-wide stability of individual bus dynamics and the coupling strength from the power network. To obtain these indices without explicit physical models, we derive a data-driven linear matrix inequality (LMI) criterion based exclusively on measured input-state trajectories. Furthermore, extracting the optimal ODP index is formulated as a convex semi-definite programming (SDP) problem. Simulations verify the effectiveness of the proposed method under both single-device offline evaluation and system-wide online certification scenarios.
format Preprint
id arxiv_https___arxiv_org_abs_2604_16212
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Data-Driven Distributed Stability Certification for Power Systems via Input-State Trajectories
Zhang, Xiaohui
Yang, Liaoyuan
Yang, Peng
Systems and Control
This article proposes a data-driven framework to verify the distributed conditions that guarantee the system-wide stability for interconnected power systems. To guarantee system wide stability, the dynamics of each bus are required to satisfy an output differential passivity (ODP) condition with a sufficient index. These ODP indices uniformly quantify the impacts on the system-wide stability of individual bus dynamics and the coupling strength from the power network. To obtain these indices without explicit physical models, we derive a data-driven linear matrix inequality (LMI) criterion based exclusively on measured input-state trajectories. Furthermore, extracting the optimal ODP index is formulated as a convex semi-definite programming (SDP) problem. Simulations verify the effectiveness of the proposed method under both single-device offline evaluation and system-wide online certification scenarios.
title Data-Driven Distributed Stability Certification for Power Systems via Input-State Trajectories
topic Systems and Control
url https://arxiv.org/abs/2604.16212