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Microgrid reliability modeling and battery scheduling using stochastic linear programming
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences. University College London, UK.
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2013 (English)In: Electric power systems research, ISSN 0378-7796, Vol. 103, 61-69 p.Article in journal (Refereed) Published
Abstract [en]

This paper describes the introduction of stochastic linear programming into Operations DER-CAM, a tool used to obtain optimal operating schedules for a given microgrid under local economic and environmental conditions. This application follows previous work on optimal scheduling of a lithium-iron-phosphate battery given the output uncertainty of a 1 MW molten carbonate fuel cell. Both are in the Santa Rita Jail microgrid, located in Dublin, California. This fuel cell has proven unreliable, partially justifying the consideration of storage options. Several stochastic DER-CAM runs are executed to compare different scenarios to values obtained by a deterministic approach. Results indicate that using a stochastic approach provides a conservative yet more lucrative battery schedule. Lower expected energy bills result, given fuel cell outages, in potential savings exceeding 6%.

Place, publisher, year, edition, pages
2013. Vol. 103, 61-69 p.
Keyword [en]
Batteries, Optimal scheduling, Smart grids, Stochastic systems, Uncertainty, Microgrids
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
URN: urn:nbn:se:su:diva-93553DOI: 10.1016/j.epsr.2013.05.005ISI: 000322939700008OAI: diva2:647724


Available from: 2013-09-12 Created: 2013-09-10 Last updated: 2014-02-10Bibliographically approved

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Siddiqui, Afzal
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