Please use this identifier to cite or link to this item: https://doi.org/10.1109/PESGM.2012.6345647
DC FieldValue
dc.titleOptimal sizing of energy storage system for wind power plants
dc.contributor.authorShu, Z.
dc.contributor.authorJirutitijaroen, P.
dc.date.accessioned2014-06-19T03:22:14Z
dc.date.available2014-06-19T03:22:14Z
dc.date.issued2012
dc.identifier.citationShu, Z.,Jirutitijaroen, P. (2012). Optimal sizing of energy storage system for wind power plants. IEEE Power and Energy Society General Meeting : -. ScholarBank@NUS Repository. <a href="https://doi.org/10.1109/PESGM.2012.6345647" target="_blank">https://doi.org/10.1109/PESGM.2012.6345647</a>
dc.identifier.isbn9781467327275
dc.identifier.issn19449925
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/71305
dc.description.abstractThis paper proposes a stochastic programming approach to the solution of sizing problem of energy storage system applied to grid-connected wind power plants. The objective is to maximize expected daily profit though time shifting of renewable energy production. The problem is formulated considering stochastic behaviors of renewable power as well as electricity prices. We apply stochastic programming framework with Sample Average Approximation (SAA). We conduct a case study using data from the Electric Council Reliability Council of Texas (ERCOT). It is shown that considerable profit can be achieved with a suitable energy storage size. © 2012 IEEE.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/PESGM.2012.6345647
dc.sourceScopus
dc.subjectcorrelations
dc.subjectenergy storages
dc.subjectMonte Carlo sampling
dc.subjectrenewable energy
dc.subjectstochastic programming
dc.subjectwind power
dc.typeConference Paper
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.doi10.1109/PESGM.2012.6345647
dc.description.sourcetitleIEEE Power and Energy Society General Meeting
dc.description.page-
dc.identifier.isiutNOT_IN_WOS
Appears in Collections:Staff Publications

Show simple item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

15
checked on Aug 14, 2022

Page view(s)

77
checked on Aug 18, 2022

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.