Decentralized Analysis Approach for Oscillation Damping in Grid-Forming and Grid-Following Heterogeneous Power Systems
Xiang Zhu, Xiuqiang He, Hongyang Qing, Hua Geng

TL;DR
This paper introduces a decentralized local gain condition (LGC) that ensures oscillation damping in heterogeneous inverter-based power systems by local measurements, enabling scalable and flexible damping without global system information.
Contribution
The paper proposes a novel decentralized local gain condition applicable to heterogeneous IBR systems, with a scalable algorithm for parameter tuning to guarantee system-wide oscillation damping.
Findings
LGC guarantees oscillation damping in IBR-dominated systems.
The approach is agnostic to IBR dynamics and system heterogeneity.
A low-complexity algorithm facilitates scalable parameter tuning.
Abstract
This letter proposes a decentralized local gain condition (LGC) to guarantee oscillation damping in inverter-based resource (IBR)-dominated power systems. The LGC constrains the dynamic gain between each IBR and the network at its point of connection. By satisfying the LGC locally, the closed-loop poles are confined to a desired region, thereby yielding system-wide oscillation damping without requiring global information. Notably, the LGC is agnostic to different IBR dynamics, well-suited for systems with heterogeneous IBRs, and flexible to various damping requirements. Moreover, a low-complexity algorithm is proposed to parameterize LGC, providing scalable and damping-constrained parameter tuning guidance for IBRs.
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Taxonomy
TopicsMicrogrid Control and Optimization · Power System Optimization and Stability · Wind Turbine Control Systems
