z-logo
Premium
On distributed reactive power and storage control on microgrids
Author(s) -
Cortés Andres,
Martínez Sonia
Publication year - 2016
Publication title -
international journal of robust and nonlinear control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.361
H-Index - 106
eISSN - 1099-1239
pISSN - 1049-8923
DOI - 10.1002/rnc.3497
Subject(s) - microgrid , ac power , dual (grammatical number) , computer science , convergence (economics) , grid , mathematical optimization , distributed data store , distributed generation , decomposition , voltage , function (biology) , power (physics) , control theory (sociology) , engineering , control (management) , distributed computing , renewable energy , electrical engineering , mathematics , art , artificial intelligence , economic growth , ecology , literature , biology , geometry , quantum mechanics , evolutionary biology , physics , economics
Summary This manuscript develops a dual decomposition algorithm for the distributed control of reactive power and charging/discharging rates in microgrids with distributed solar generation and \storage capacities. Our setting considers physical constraints inherent to storage systems and voltage regulation constraints with the objective of minimizing a cost function that encompasses two aspects: the total cost of the active power consumed by the microgrid and its associated transmission losses over a finite time horizon. We provide a complete analysis of the convergence of the proposed algorithm and introduce a novel approach for the distributed approximation of the voltage prediction over the power grid. Simulations demonstrate the performance of the dual decomposition algorithm on a particular microgrid case. Copyright © 2016 John Wiley & Sons, Ltd.

This content is not available in your region!

Continue researching here.

Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom