Microgrid Reliability Modeling and Battery Scheduling Using Stochastic Linear Programming

TitleMicrogrid Reliability Modeling and Battery Scheduling Using Stochastic Linear Programming
Publication TypeJournal Article
Refereed DesignationRefereed
LBNL Report NumberLBNL-6309E
Year of Publication2013
AuthorsCardoso, Gonçalo, Michael Stadler, Afzal S. Siddiqui, Chris Marnay, Nicholas DeForest, Ana Barbosa-Póvoa, and Paulo Ferrão
JournalJournal of Electric Power Systems Research
Volume103
Pagination61-69
Date Published06/2013
Abstract

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%.

Refereed DesignationRefereed
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