Complementing AC & DC Terminal Stability Analyses of MMC with Inner Loop Impedance

TL;DR

This paper introduces an inner loop impedance model for MMCs that accounts for circulating circuit dynamics, enhancing stability analysis and parameter tuning beyond traditional AC/DC terminal methods.

Contribution

It develops an inner loop impedance framework for MMCs that captures circulating circuit dynamics, enabling improved stability analysis and control parameter tuning.

Findings

Inner loop impedance captures circulating circuit dynamics.

Logarithmic derivative criterion simplifies stability mode identification.

Enables stability-constrained parameter tuning for MMCs.

Abstract

Learning from two-level voltage source converters, the existing impedance-based stability analyses of modular multilevel converters (MMCs) primarily focus on system modes with finite closed-loop transfer functions, which consider perturbations of the current flowing into the public AC/DC terminal as the input. However, this approach may be insufficient for MMCs due to their actively controlled circulating circuit, resulting from the distributed modulation of each arm and the circulating current control (CCC). To address this limitation, two cases that are not covered by the AC/DC terminal stability analysis are initially presented to support the conjecture. Subsequently, an inner loop impedance for the circulating circuit is established, which considers the dynamics of public terminals and divides the injected voltage perturbation by the corresponding current perturbation at the same frequency. To avoid the need for a right-half plane pole check when applying the Nyquist criterion, a logarithmic derivative-based criterion is proposed to directly identify the system modes. By utilizing the inner loop impedance, it becomes possible to achieve CCC parameter tuning with stability constraints and conduct an internal stability analysis of MMC-based systems. This work provides a strong foundation for the integration of power-electronicized power systems from the perspective of classical control theories.