Understanding Impedance Ratio Criteria for Converter-Based AC Power System
Chongbin Zhao, and Qirong Jiang

TL;DR
This paper critically examines impedance ratio criteria for assessing small-signal stability in converter-based AC power systems, proposing a new criterion based on the logarithmic derivative of transfer functions for improved mode identification.
Contribution
It provides a systematic analytical framework for impedance models, evaluates the limitations of existing IRCs, and introduces a novel stability criterion based on the logarithmic derivative of MFs.
Findings
SISO analysis sufficiency when the mapping function is observable.
Limitations of IRCs with right-half plane pole emergence.
Proposed logarithmic derivative criterion for direct mode identification.
Abstract
Nyquist criterion-based impedance ratio criteria (IRCs) have been widely applied for inspecting the risk of small-signal instability among converter-based AC power systems. Aided by a comparative study on voltage source converter, including the single-input single-output (SISO) and multiple input multiple output (MIMO) analyses in both the dq and the sequence domain, two aspects are emphasized in this paper: 1) the sufficiency of SISO analysis when the mapping function (MF) is observable to potentially unstable modes, and 2) the inconvenience of IRCs with an unintended right-half plane pole emergence of MF due to the source-load partition. The strictness of analyses is proved by a systematical deduction of explicit analytical impedance models using the state space. Moreover, a novel criterion that relies on the logarithmic derivative of MFs is proposed, which can identify the system…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMicrogrid Control and Optimization · HVDC Systems and Fault Protection · Power System Optimization and Stability
