DocumentCode
3538069
Title
Voltage robust stability in microgrid power management
Author
Le Yi Wang ; Polis, Michael P. ; Caisheng Wang ; Feng Lin ; Yin, George
Author_Institution
Dept. of Electr. & Comput. Eng, Wayne State Univ., Detroit, MI, USA
fYear
2013
fDate
10-13 Dec. 2013
Firstpage
6928
Lastpage
6933
Abstract
Voltage stability is of essential importance for power grids. The emergence of distributed energy generators, controllable loads, and local-area energy storage capabilities will introduce new scenarios for distribution networks in which classical frameworks for voltage stability may be inadequate. This paper introduces a control-theoretic framework for studying voltage stability and its robustness, as well as optimal power management in distribution systems composed of networked microgrids. The framework involves descriptions of the loads and generators by nonlinear state space models and the network connections by a set of topology-based algebraic equations. The combined system leads to a general nonlinear state space model for the microgrid systems. Four stability margins are introduced to capture different scenarios in microgrid power management capabilities and load disturbances. LMI (linear matrix inequality) methods are employed for computing stability margins. Illustrative examples are used to demonstrate the methods.
Keywords
distributed power generation; linear matrix inequalities; nonlinear control systems; power system management; power system stability; robust control; state-space methods; topology; voltage control; LMI method; controllable load; distributed energy generator; distribution network; linear matrix inequality method; load disturbance; local-area energy storage capability; microgrid power management; network connection; nonlinear state space model; optimal power management; power grids; topology-based algebraic equation; voltage robust stability; Generators; Mathematical model; Microgrids; Nonlinear dynamical systems; Power system stability; Stability analysis; Thermal stability;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control (CDC), 2013 IEEE 52nd Annual Conference on
Conference_Location
Firenze
ISSN
0743-1546
Print_ISBN
978-1-4673-5714-2
Type
conf
DOI
10.1109/CDC.2013.6760987
Filename
6760987
Link To Document