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dc.contributor.authorNikoobakht, Ahmad
dc.contributor.authorAghaei, Jamshid
dc.contributor.authorMassrur, Hamid
dc.contributor.authorHemmati, Rasul
dc.date.accessioned2021-03-16T14:08:07Z
dc.date.available2021-03-16T14:08:07Z
dc.date.created2021-01-12T13:16:36Z
dc.date.issued2020
dc.identifier.citationIET Generation, Transmission & Distribution. 2020, 14 (5), 797-807.en_US
dc.identifier.issn1751-8687
dc.identifier.urihttps://hdl.handle.net/11250/2733709
dc.description.abstractToday, coordinated expansion planning is one of the key challenges for electricity systems including active distribution networks (ADNs) and transmission networks (TNs) hosting distributed renewable generation as well as large‐scale wind energy generation. Accordingly, this study presents a decentralised hybrid robust and stochastic (HR&S) expansion planning optimisation method to determine a robust generation and transmission planning for a TN and stochastic expansion planning for ADNs. The proposed HR&S planning model is formulated with the objective of achieving an effective expansion of both TN&ADN while minimises the investment and operation costs of TN&ADN planning considering wind uncertainty in TNs and load uncertainty in ADNs. Finally, the IEEE 30‐bus test system has been analysed to show the effectiveness of the proposed TN&ADN expansion planning framework and decentralised solution strategy.en_US
dc.language.isoengen_US
dc.publisherJohn Wiley & Sons, Ltd. on behalf of The Institution of Engineering and Technologyen_US
dc.titleDecentralised hybrid robust/stochastic expansion planning in coordinated transmission and active distribution networks for hosting large-scale wind energyen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.source.pagenumber797-807en_US
dc.source.volume14en_US
dc.source.journalIET Generation, Transmission & Distributionen_US
dc.source.issue5en_US
dc.identifier.doi10.1049/iet-gtd.2019.0888
dc.identifier.cristin1869832
dc.description.localcode© 2020 The Authors. Free Access.en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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