Compositional Transient Stability Analysis of Multi-Machine Power Networks

TL;DR

This paper introduces a novel energy-based, compositional approach for analyzing transient stability in multi-machine power networks, avoiding classical assumptions and enabling stability inference from individual generator conditions.

Contribution

It develops a first-principles, energy-based model for transient stability analysis that is compositional, allowing large system stability to be inferred from simple conditions on individual generators.

Findings

Energy-based models avoid classical sinusoidal assumptions during transients.

Derived intuitive conditions for transient stability of power systems with lossy lines.

Stability of large systems inferred from simple conditions on individual generators.

Abstract

During the normal operation of a power system all the voltages and currents are sinusoids with a frequency of 60 Hz in America and parts of Asia, or of 50Hz in the rest of the world. Forcing all the currents and voltages to be sinusoids with the right frequency is one of the most important problems in power systems. This problem is known as the transient stability problem in the power systems literature. The classical models used to study transient stability are based on several implicit assumptions that are violated when transients occur. One such assumption is the use of phasors to study transients. While phasors require sinusoidal waveforms to be well defined, there is no guarantee that waveforms will remain sinusoidal during transients. In this paper, we use energy-based models derived from first principles that are not subject to hard-to-justify classical assumptions. In addition to eliminate assumptions that are known not to hold during transient stages, we derive intuitive conditions ensuring the transient stability of power systems with lossy transmission lines. Furthermore, the conditions for transient stability are compositional in the sense that one infers transient stability of a large power system by checking simple conditions for individual generators.