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Advantages of optimal storage location and size on the economic dispatch in distribution systems
dc.contributor.author | Bizuayehu, Abebe Worke | es-ES |
dc.contributor.author | Fitiwi Zahlay, Desta | es-ES |
dc.contributor.author | Catalão, João P. S. | es-ES |
dc.date.accessioned | 2017-01-26T04:06:44Z | |
dc.date.available | 2017-01-26T04:06:44Z | |
dc.identifier.uri | http://hdl.handle.net/11531/16374 | |
dc.description.abstract | es-ES | |
dc.description.abstract | This article presents the impacts of different storage technologies, their size as well as their location on the economic dispatch of a distribution system. The participation of the storage in distribution systems is evaluated over a period of 24 hours using a radial reconfiguration of the network. In order to meet this objective, a stochastic mixed integer linear problem (SMILP) is proposed, where the expected cost during the operation period is minimized. The model considers uncertainties in wind generation, load which is represented through a typical demand profile, conventional generation and storage systems. Results from a case study is presented for a distribution network with 28 buses, comprehensively describing the impacts of the location and the size of the storage system on the distribution network, as well as on the expected operation costs of the system. | en-GB |
dc.format.mimetype | application/pdf | es_ES |
dc.language.iso | en-GB | es_ES |
dc.rights | es_ES | |
dc.rights.uri | es_ES | |
dc.title | Advantages of optimal storage location and size on the economic dispatch in distribution systems | es_ES |
dc.type | info:eu-repo/semantics/workingPaper | es_ES |
dc.description.version | info:eu-repo/semantics/draft | es_ES |
dc.rights.accessRights | info:eu-repo/semantics/restrictedAccess | es_ES |
dc.keywords | es-ES | |
dc.keywords | Distributed generation, distribution system reconfiguration (DSR), storage, stochastic mixed integer linearprogramming (SMILP), wind generation. | en-GB |
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