Bregman storage functions for microgrid control

TL;DR

This paper introduces a novel theoretical framework using Bregman storage functions for analyzing and controlling microgrids, enabling large signal stability analysis without linearization or decoupling assumptions.

Contribution

It develops incremental storage functions based on energy shaping that facilitate comprehensive stability analysis of coupled microgrid dynamics.

Findings

Large signal stability analysis achieved without linearization.

Unified framework captures various microgrid dynamics.

Improved understanding of power sharing properties.

Abstract

In this paper we contribute a theoretical framework that sheds a new light on the problem of microgrid analysis and control. The starting point is an energy function comprising the kinetic energy associated with the elements that emulate the rotating machinery and terms taking into account the reactive power stored in the lines and dissipated on shunt elements. We then shape this energy function with the addition of an adjustable voltage-dependent term, and construct incremental storage functions satisfying suitable dissipation inequalities. Our choice of the voltage-dependent term depends on the voltage dynamics/controller under investigation. Several microgrids dynamics that have similarities or coincide with dynamics already considered in the literature are captured in our incremental energy analysis framework. The twist with respect to existing results is that our incremental storage functions allow for a large signal analysis of the coupled microgrid obviating the need for simplifying linearization techniques and for the restrictive decoupling assumption in which the frequency dynamics is fully separated from the voltage one. A complete Lyapunov stability analysis of the various systems is carried out along with a discussion on their active and reactive power sharing properties.