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dc.contributor.authorZhou, Datong P.
dc.contributor.authorDahleh, Munther A.
dc.contributor.authorTomlin, Claire J.
dc.date.accessioned2021-11-04T19:44:06Z
dc.date.available2021-11-04T19:44:06Z
dc.date.issued2017-12
dc.identifier.urihttps://hdl.handle.net/1721.1/137408
dc.description.abstract© 2017 IEEE. Load-serving entities which procure electricity from the wholesale electricity market to service end-users face significant quantity and price risks due to the volatile nature of electricity demand and quasi-fixed residential tariffs at which electricity is sold. This paper investigates strategies for load serving entities to hedge against such price risks. Specifically, we compute profit-maximizing portfolios of forward contract and call options as a function of uncertain aggregate user demand and wholesale electricity prices. We compare the profit to the case of Demand Response, where users are offered monetary incentives to temporarily reduce their consumption during periods of supply shortages. Using smart meter data of residential customers in California, we simulate optimal portfolios and derive conditions under which Demand Response outperforms call options and forward contracts. Our analysis suggests that Demand Response becomes more competitive as wholesale electricity prices increase.en_US
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.isversionof10.1109/cdc.2017.8263665en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourcearXiven_US
dc.titleHedging strategies for load-serving entities in wholesale electricity marketsen_US
dc.typeArticleen_US
dc.identifier.citationZhou, Datong P., Dahleh, Munther A. and Tomlin, Claire J. 2017. "Hedging strategies for load-serving entities in wholesale electricity markets."
dc.contributor.departmentMassachusetts Institute of Technology. Laboratory for Information and Decision Systemsen_US
dc.eprint.versionOriginal manuscripten_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2019-05-14T16:44:56Z
dspace.date.submission2019-05-14T16:44:57Z
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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