Exhaustive Classification and Quantification of Coupling Modes in Power Systems with Power Electronics

TL;DR

This paper provides a comprehensive classification and quantification of coupling modes in modern power systems with renewable energy sources and power electronics, using detailed models and modal analysis.

Contribution

It introduces a new benchmark and methodology for analyzing and classifying coupling modes in power systems with inverter-based resources and synchronous machines.

Findings

Identified and classified various coupling modes in power systems.

Quantified the impact of key parameters on oscillation modes.

Demonstrated the approach on IEEE 39 bus system.

Abstract

Due to the energy transition, today's electrical networks include synchronous machines and inverter-based resources interfacing renewable energies such as wind turbines, solar panels, and Battery Energy Storage Systems to the grid. In such systems, interactions known as coupling modes or dynamic interactions, between synchronous machines and inverter-based resources may arise. This paper conducts a clear and exhaustive study on a proposed benchmark, in order to analyze, quantify and classify these new types of modes. Detailed models representing electromagnetic transient phenomena are developed and linearized, then used for conducting modal analysis to fully characterize the small-signal stability of the system. Also, a sensitivity analysis is presented to evaluate the impact of key parameters on the detected modes of oscillation. Besides the exhaustive classification of the possible coupling modes, the proposed benchmark and methodology can be used to study any given power system in a minimal order modeling. The case of a fully detailed power grid based on the IEEE 39 bus system was studied as an illustrative example.