Microgrid Reliability Modeling and Battery Scheduling Using Stochastic Linear Programming

Publication Type

Journal Article

Date Published

06/2013

LBNL Report Number

LBNL-6309E

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%.

Journal

Journal of Electric Power Systems Research

Volume

103

Year of Publication

2013

Refereed Designation

Refereed

Pagination

61-69