Harmonic Stability Analysis of Microgrids with Converter-Interfaced Distributed Energy Resources, Part I: Modelling and Theoretical Foundations
Johanna Kristin Maria Becker, Andreas Martin Kettner, Mario Paolone
TL;DR
This work develops a modular Harmonic State-Space (HSS) framework for Harmonic Stability Assessment (HSA) in power systems with a high share of Converter-Interfaced Distributed Energy Resources (CIDERs). By deriving HSS models for individual CIDERs and the grid, and combining them into a closed-loop power-system HSS, the method captures frequency coupling across harmonics via Fourier-Toeplitz representations. It introduces operators for eigenvalue sensitivity and a taxonomy of eigenvalues (CDI, CDV, DI), along with discussion of spurious modes due to harmonic truncation, setting the stage for Part II’s detailed analysis and validation on a realistic test system. The approach aims to provide a universal, scalable tool for identifying harmonic instabilities and guiding control-design decisions in modern low-voltage distribution networks with substantial CIDER penetration.
Abstract
This paper proposes a method for the Harmonic Stability Assessment (HSA) of power systems with a high share of Converter-Interfaced Distributed Energy Resources (CIDERs). To this end, the Harmonic State-Space (HSS) model of a generic power system is formulated by combining the HSS models of the resources and the grid in closed-loop configuration. The HSS model of the resources is obtained from the Linear Time Periodic (LTP) models of the CIDER components transformed to frequency domain using Fourier theory and Toeplitz matrices. Notably, the HSS of a CIDER is capable of representing the coupling between harmonic frequencies in detail. The HSS model of the grid is derived from the dynamic equations of the individual branch and shunt elements. The system matrix of the HSS models on power-system or resource level is employed for eigenvalue analysis in the context of HSA. A sensitivity analysis of the eigenvalue loci w.r.t. changes in model parameters, and a classification of eigenvalues into control-design variant, control-design invariant, and design invariant eigenvalues is proposed. A case of harmonic instability is identified by the HSA and validated via Time-Domain Simulations (TDS) in Simulink.
