A Robust Computational Framework for Mid-Term Techno-Economical Assessment of Energy Storage

DC FieldValueLanguage
dc.contributor.authorMaghouli, Pourya
dc.contributor.authorSoroudi, Alireza
dc.contributor.authorKeane, Andrew
dc.date.accessioned2015-11-23T14:45:22Z
dc.date.available2015-11-23T14:45:22Z
dc.date.copyright2015 The Institution of Engineering and Technologyen
dc.date.issued2015-10
dc.identifier.citationIET Generation Transmission and Distributionen
dc.identifier.urihttp://hdl.handle.net/10197/7241
dc.description.abstractRapid expansion and integration of wind energy is restrained due to transmission capacity constraints and conventional generation technologies limited operational flexibility in today's power systems. Energy storage is an attractive option to integrate and utilise more renewable energy without major and timely upgrade of existing transmission infrastructure. Moreover, it can be considered as a means for differing the reinforcement plans. The evaluation of energy storage deployment projects is a challenging task due to severe uncertainty of wind power generation. In this study, a robust techno-economic framework is proposed for energy storage evaluation based on information gap decision theory for handling wind generation uncertainty. The total social cost of the system including conventional generators’ fuel and pollution cost and wind power curtailment cost is optimised considering generators operational constraints and transmission system capacity limitations based on the DC model of the power grid. The effect of storage devices on system performance is evaluated taking into account wind power uncertainty. The proposed method is conducted on the modified IEEE reliability test system and the modified IEEE-118-bus test system to assess its applicability and performance in mid-term robust evaluation of energy storage implementation plans.en
dc.language.isoenen
dc.publisherIETen
dc.subjectDC optimal power flowen
dc.subjectStorage devicesen
dc.subjectTransmission capacity constraintsen
dc.subjectWind power generationen
dc.subjectInformation gap decisiontheoryen
dc.titleA Robust Computational Framework for Mid-Term Techno-Economical Assessment of Energy Storageen
dc.typeJournal Articleen
dc.internal.authorcontactotheralireza.soroudi@ucd.ie
dc.statusPeer revieweden
dc.identifier.volume10
dc.identifier.issue3
dc.identifier.startpage822
dc.identifier.endpage831
dc.identifier.doi10.1049/iet-gtd.2015.0453-
dc.neeo.contributorMaghouli|Pourya|aut|-
dc.neeo.contributorSoroudi|Alireza|aut|-
dc.neeo.contributorKeane|Andrew|aut|-
dc.internal.rmsid539634917
dc.date.updated2015-11-06T12:06:48Z
item.grantfulltextopen-
item.fulltextWith Fulltext-
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