Self-Organized Synchronization and Voltage Stability in Networks of Synchronous Machines

TL;DR

This paper explores how self-organized synchronization impacts voltage stability in power grids modeled as networks of synchronous machines, incorporating dynamic voltages to better understand modern grid stability challenges.

Contribution

It introduces an extended model combining rotor angle synchronization with dynamic voltage equations, advancing the analysis of power system stability.

Findings

Extended model reveals interactions between voltage stability and synchronization.

Disturbance scenarios show differences between classical and dynamic models.

Implications for modern, decentralized power grids are discussed.

Abstract

The integration of renewable energy sources in the course of the energy transition is accompanied by grid decentralization and fluctuating power feed-in characteristics. This raises new challenges for power system stability and design. We intend to investigate power system stability from the viewpoint of self-organized synchronization aspects. In this approach, the power grid is represented by a network of synchronous machines. We supplement the classical Kuramoto-like network model, which assumes constant voltages, with dynamical voltage equations, and thus obtain an extended version, that incorporates the coupled categories voltage stability and rotor angle synchronization. We compare disturbance scenarios in small systems simulated on the basis of both classical and extended model and we discuss resultant implications and possible applications to complex modern power grids.