Stochastic programming for energy planning in microgrids with renewables

Gabriela Martinez, Nikolaos Gatsis, Georgios B Giannakis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Scopus citations

Abstract

Energy management for a microgrid featuring distributed generation from conventional and renewable energy sources and adjustable loads is the theme of this paper. The microgrid is connected to the main grid, thus enabling energy import from and export to the main grid. A two-stage stochastic programming formulation is developed, where first-stage decisions are the conventional generation schedules and adjustable load set points, while second-stage decisions include energy transactions with the main grid as well as load adjustments made in real time. The two-stage problem is reformulated as an equivalent linear program. Simulated tests demonstrate the interplay between the various energy management decisions.

Original languageEnglish (US)
Title of host publication2013 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2013
Pages472-475
Number of pages4
DOIs
StatePublished - Dec 1 2013
Event2013 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2013 - Saint Martin, France
Duration: Dec 15 2013Dec 18 2013

Other

Other2013 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2013
CountryFrance
CitySaint Martin
Period12/15/1312/18/13

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    Martinez, G., Gatsis, N., & Giannakis, G. B. (2013). Stochastic programming for energy planning in microgrids with renewables. In 2013 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2013 (pp. 472-475). [6714110] https://doi.org/10.1109/CAMSAP.2013.6714110