Stochastic programming approach for energy management in electric microgrids

Harald Held; Gabriela Martinez; Philipp Emanuel  Stelzig

doi:10.3934/naco.2014.4.241

Article Contents

2014, Volume 4, Issue 3: 241-267. Doi: 10.3934/naco.2014.4.241

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Stochastic programming approach for energy management in electric microgrids

1.
Siemens AG, Corporate Technology (CT RTC AUC SIM-DE), Otto-Hahn-Ring 6, 81739 Munich
2.
Department of Biological and Environmental Engineering, Cornell University, Ithaca, NY 14853
3.
Siemens Corporate Technology, Otto-Hahn-Ring 6, 81739 Munich

Received: November 2013

Revised: September 2014

Published: August 2014

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Abstract

Microgrids are smaller, self-contained electricity grids featuring distributed generation (e.g., solar photovoltaic panels, wind turbines, biomass), energy storage technologies, and power system control devices that enable self-coordinated operations. Microgrids can be seen as a key technology for greater integration of renewable energy resources. However, the uncertain nature in power generated by these resources poses challenges to its integration into the electric grid. In this paper, we present a demand-side management stochastic optimization model to operate an isolated microgrid under uncertain power generation and demand.

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Mathematics Subject Classification: Primary: 90C15; Secondary: 90C90, 90C11.

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