Power flow management of microgrid networks using model predictive control

Authors:
A. Hooshmand;H. A. Malki;J. Mohammadpour
Affiliations:
Graduate Research Assistant, Department of Electrical & Computer Engineering, University of Houston, Houston, TX, 77056, USA;Department of Engineering Technology, University of Houston, Houston, TX, USA;Department of Mechanical Engineering, University of Houston, Houston, TX, USA
Venue:
Computers & Mathematics with Applications
Year:
2012

Citing 5
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Abstract

In this paper, we present a power flow management method for a network of cooperating microgrids within the context of a smart grid by formulating the problem in a model predictive control framework. In order to reliably and economically provide the required power to the costumers, the proposed method enables the network of microgrids to share the power generated from their renewable energy sources and minimize the power needed from the micro gas turbines. To corroborate the viability of the proposed method, we will illustrate simulation results on a model consisting of three microgrids in a network.