A power consensus algorithm for DC microgrids

A novel power consensus algorithm for DC microgrids is proposed and analyzed. DC microgrids are networks composed of DC sources, loads, and interconnecting lines. They are represented by differential–algebraic equations connected over an undirected weighted graph that models the electrical circuit....

Full description

Saved in:
Bibliographic Details
Published inAutomatica (Oxford) Vol. 89; pp. 364 - 375
Main Authors De Persis, Claudio, Weitenberg, Erieke R.A., Dörfler, Florian
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 01.03.2018
Subjects
DC microgrids
Distributed control
Lyapunov stability analysis
Nonlinear consensus
Power sharing
Power sharing
Distributed control
Nonlinear consensus
DC microgrids
Lyapunov stability analysis
Online AccessGet full text
ISSN0005-1098
1873-2836
DOI10.1016/j.automatica.2017.12.026

Cover

More Information
Summary:A novel power consensus algorithm for DC microgrids is proposed and analyzed. DC microgrids are networks composed of DC sources, loads, and interconnecting lines. They are represented by differential–algebraic equations connected over an undirected weighted graph that models the electrical circuit. The proposed algorithm features a second graph, which represents the communication network over which the source nodes exchange information about the instantaneous powers, and which is used to adjust the injected current accordingly. This gives rise to a nonlinear consensus-like system of differential–algebraic equations that is analyzed via Lyapunov functions inspired by the physics of the system. We establish convergence to the set of equilibria, where weighted power consensus is achieved, as well as preservation of the weighted geometric mean of the source voltages. The results apply to networks with constant impedance, constant current and constant power loads.
ISSN:0005-1098
1873-2836
DOI:10.1016/j.automatica.2017.12.026