An Interaction Sensitivity Framework in Perturbation Space for the Converter-Driven Stability of Power Systems
電力系統のコンバータ駆動安定性のための摂動空間における相互作用感度フレームワーク (AI 翻訳)
Jihun Kook, Jung-Wook Park
🤖 gxceed AI 要約
日本語
本論文は、再生可能エネルギーの大量導入に伴う電力系統のコンバータ駆動安定性問題に対して、摂動空間における相互作用感度フレームワークを提案する。従来の感度解析では捉えられない、擾乱後のモードと状態の相互作用再構成を解析可能にし、制御調整による安定性向上の因果関係を明らかにする。高次元動的ネットワークの一般的な解析基盤を提供する。
English
This paper proposes an interaction sensitivity framework in perturbation space for converter-driven stability in power systems with high renewable penetration. It captures event-dependent mode-state interaction reconfigurations after perturbations, which traditional participation factor analysis cannot. The framework provides analytic expressions and physically interpretable mechanisms for stability enhancement, supporting advanced controller design in complex dynamical networks.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本でも再エネ大量導入に伴い系統安定性が課題となっている。本フレームワークは、擾乱後の系統挙動を解析し、制御設計の改善に直接貢献できる点で、実系統運用者や系統計画者にとって有用である。
In the global GX context
Globally, increasing renewable penetration introduces converter-driven oscillations that threaten grid stability. This framework offers a new analytical tool for understanding perturbation-driven interaction reconfigurations, enabling better controller design and contributing to reliable operation of low-carbon power systems.
👥 読者別の含意
🔬研究者:Provides a novel analytical framework for mode-state interactions in perturbed power systems, advancing stability theory for high-renewable grids.
🏢実務担当者:Grid operators and control engineers can use this framework to design controllers that mitigate oscillations and improve system stability under high renewable penetration.
📄 Abstract（原文）
As the integration of renewables accelerates the decarbonization process in the energy sector, power systems are becoming increasingly dominated by converter-interfaced generation. However, this results in the emergence of multiple oscillations, which can trigger cascading disconnections and potentially damage generators. To address these critical issues, modern power systems commonly employ classic participation factor (PF) analyses, which relate oscillatory modes (eigenvalues) to controller state variables. While these methods are effective, a critical yet previously unexplored challenge involves capturing the interaction reconfigurations observed after a perturbation occurs. Because PF analyses are limited to fixed operating points, they are structurally unable to analyze these event-dependent mode--state interactions under perturbations. Here, we establish an interaction sensitivity framework that is formulated in perturbation space, uncovering the mechanisms by which modes and states respond to perturbations. This framework provides analytic expressions and physically interpretable mechanisms that explain why specific control adjustments enhance or reduce stability, revealing causal relationships beyond conventional stability analysis. More broadly, this formulation provides a general analytical basis for understanding perturbation-driven interaction reconfigurations in high-dimensional dynamical networks described by state-space equations, and supports advanced controller design in complex systems.
🔗 Provenance — このレコードを発見したソース
- arXiv https://arxiv.org/abs/2607.25334first seen 2026-07-29 04:10:50
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