Show simple item record

dc.contributor.authorBackhaus, Scott
dc.contributor.authorJaworsky, Christina A
dc.contributor.authorTuritsyn, Konstantin
dc.date.accessioned2017-05-24T13:39:25Z
dc.date.available2017-05-24T13:39:25Z
dc.date.issued2014-10
dc.identifier.isbn978-0-7918-4619-3
dc.identifier.urihttp://hdl.handle.net/1721.1/109305
dc.description.abstractThe purpose of this research is to the problem of optimal sizing of energy storage required for compensation of wind farm generation variability. Using wind farm production data from the BPA, we assess the effect of forecast quality and economic dispatch timing on the size of storage and critical power rating required to nearly perfectly match the committed energy. We develop a Model-Predictive-Control (MPC) based operational model following NERC standard recommendations. Different forecasts are considered and compared from the storage sizing perspective. The results of our simulations can be fit by two simple relations, connecting the storage sizing with forecast error, wind variability, and the timescales of scheduling. A more accurate forecast reduces the storage sizing. However, diminishing returns are observed when the forecast error becomes comparable to natural wind variability within the commitment time interval. The proposed methodology can be extended to other systems with intermittent generation and controllable real or virtual storage.en_US
dc.description.sponsorshipNational Science Foundation (U.S.) (ECCS - 1128437)en_US
dc.description.sponsorshipMIT International Science and Technology Initiatives (Seed Fund)en_US
dc.description.sponsorshipLos Alamos National Laboratoryen_US
dc.description.sponsorshipMIT Skoltech Initiativeen_US
dc.language.isoen_US
dc.publisherAmerican Society of Mechanical Engineers (ASME)en_US
dc.relation.isversionofhttp://dx.doi.org/10.1115/DSCC2014-6113en_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourceAmerican Society of Mechanical Engineers (ASME)en_US
dc.titleThe Effect of Forecasting Accuracy on the Sizing of Energy Storageen_US
dc.typeArticleen_US
dc.identifier.citationJaworsky, Christina, Konstantin Turitsyn, and Scott Backhaus. “The Effect of Forecasting Accuracy on the Sizing of Energy Storage.” ASME 2014 Dynamic Systems and Control Conference DSCC2014, 22-24 October, 2014, San Antonio, Texas, USA, ASME, 2014. © 2014 by ASMEen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mechanical Engineeringen_US
dc.contributor.mitauthorJaworsky, Christina A
dc.contributor.mitauthorTuritsyn, Konstantin
dc.relation.journalProceedings of the ASME 2014 Dynamic Systems and Control Conference DSCC2014en_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dspace.orderedauthorsJaworsky, Christina; Turitsyn, Konstantin; Backhaus, Scotten_US
dspace.embargo.termsNen_US
dc.identifier.orcidhttps://orcid.org/0000-0002-7997-8962
mit.licensePUBLISHER_POLICYen_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record