Stochastic programming for energy planning in microgrids with renewables

Gabriela Martinez; Nikolaos Gatsis; Georgios B Giannakis

doi:10.1109/CAMSAP.2013.6714110

Stochastic programming for energy planning in microgrids with renewables

Gabriela Martinez
, Nikolaos Gatsis
, Georgios B Giannakis

Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

17 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 language	English (US)
Title of host publication	2013 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2013
Pages	472-475
Number of pages	4
DOIs	https://doi.org/10.1109/CAMSAP.2013.6714110
State	Published - 2013
Event	2013 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2013 - Saint Martin, France Duration: Dec 15 2013 → Dec 18 2013

Publication series

Name	2013 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2013

Other

Other	2013 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2013
Country/Territory	France
City	Saint Martin
Period	12/15/13 → 12/18/13

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

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10.1109/CAMSAP.2013.6714110

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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). Article 6714110 (2013 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2013). https://doi.org/10.1109/CAMSAP.2013.6714110

Stochastic programming for energy planning in microgrids with renewables. / Martinez, Gabriela; Gatsis, Nikolaos; Giannakis, Georgios B.
2013 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2013. 2013. p. 472-475 6714110 (2013 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2013).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Martinez, G, Gatsis, N & Giannakis, GB 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., 6714110, 2013 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2013, pp. 472-475, 2013 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2013, Saint Martin, France, 12/15/13. https://doi.org/10.1109/CAMSAP.2013.6714110

Martinez G, Gatsis N, Giannakis GB. 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. 2013. p. 472-475. 6714110. (2013 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2013). doi: 10.1109/CAMSAP.2013.6714110

Martinez, Gabriela ; Gatsis, Nikolaos ; Giannakis, Georgios B. / Stochastic programming for energy planning in microgrids with renewables. 2013 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2013. 2013. pp. 472-475 (2013 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2013).

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Stochastic programming for energy planning in microgrids with renewables

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