Capacity Fade Modeling for Convex Optimization of Battery Charge/Discharge Schedules

dc.contributor.advisor	Kirschen, Daniel S	en_US
dc.contributor.author	LaQua, Drew M.	en_US
dc.date.accessioned	2015-09-29T18:02:11Z
dc.date.available	2015-09-29T18:02:11Z
dc.date.submitted	2015	en_US
dc.description	Thesis (Master's)--University of Washington, 2015	en_US
dc.description.abstract	The use of electrochemical batteries to provide multiple system services can greatly increase the profit they are able to generate, which can help to offset their initial investment cost. By using battery scheduling optimizations, the optimal charge/discharge profile can be found for providing multiple services. However, the more frequently a battery is used, the more its energy capacity will degrade. This paper introduces a method for including and monetizing capacity fade costs into convex battery scheduling optimization so that they may be taken into account.	en_US
dc.embargo.terms	Open Access	en_US
dc.format.mimetype	application/pdf	en_US
dc.identifier.other	LaQua_washington_0250O_14631.pdf	en_US
dc.identifier.uri	http://hdl.handle.net/1773/33800
dc.language.iso	en_US	en_US
dc.rights	Copyright is held by the individual authors.	en_US
dc.subject	Battery Scheduling; Capacity Fade Modeling; Convex Optimization	en_US
dc.subject.other	Energy	en_US
dc.subject.other	Electrical engineering	en_US
dc.subject.other	electrical engineering	en_US
dc.title	Capacity Fade Modeling for Convex Optimization of Battery Charge/Discharge Schedules	en_US
dc.type	Thesis	en_US

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