Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/3922
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dc.contributor.authorAğralı, Cansu-
dc.contributor.authorGültekin, Hakan-
dc.contributor.authorTekin, Salih-
dc.contributor.authorÖner, Nihat-
dc.date.accessioned2020-11-18T06:48:02Z-
dc.date.available2020-11-18T06:48:02Z-
dc.date.issued2020-09
dc.identifier.citationAgrali, C., Gultekin, H., Tekin, S., & Oner, N. (2020). Measuring the value of energy storage systems in a power network. International Journal of Electrical Power & Energy Systems, 120, 106022.en_US
dc.identifier.issn0142-0615
dc.identifier.otherarticle number 106022, number of pages 10
dc.identifier.urihttps://hdl.handle.net/20.500.11851/3922-
dc.identifier.urihttps://doi.org/10.1016/j.ijepes.2020.106022-
dc.description.abstractThe increased use of renewable generators and their intermittent behavior motivates network operators to deploy energy storage systems. In this study, energy storage types, locations, and capacities are optimized for a capacitated electric power network with renewable generation. Short term operational decisions that include charging/discharging schedules and capacity management of the storage systems are included in this optimization framework to capture hourly, daily, and seasonal fluctuations of the demand, renewable generation, and energy prices. A Mixed Integer Linear Programming (MILP) formulation is developed but because of the computational complexity, a mathematical programming based metaheuristic algorithm is proposed. With a numerical study, the proposed heuristic method is proved to be highly effective compared to the MILP formulation and an existing state of the art algorithm. The effects of storage installation costs, line capacities, demand and generation variance on the values of storage systems and on the installation decisions are analyzed through numerical studies.en_US
dc.language.isoenen_US
dc.publisherElsevier Ltd.en_US
dc.relation.ispartofInternational Journal of Electrical Power and Energy Systemsen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectRenewable energyen_US
dc.subjectEnergy storageen_US
dc.subjectMixed integer linear programmingen_US
dc.subjectHeuristicsen_US
dc.titleMeasuring the Value of Energy Storage Systems in a Power Networken_US
dc.typeArticleen_US
dc.departmentFaculties, Faculty of Engineering, Department of Industrial Engineeringen_US
dc.departmentFakülteler, Mühendislik Fakültesi, Endüstri Mühendisliği Bölümütr_TR
dc.identifier.volume120
dc.authorid0000-0002-5416-3249-
dc.authorid0000-0002-1697-7559-
dc.identifier.wosWOS:000526402600052en_US
dc.identifier.scopus2-s2.0-85082554043en_US
dc.institutionauthorGültekin, Hakan-
dc.institutionauthorTekin, Salih-
dc.identifier.doi10.1016/j.ijepes.2020.106022-
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.scopusqualityQ1-
item.openairetypeArticle-
item.languageiso639-1en-
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
crisitem.author.dept02.4. Department of Industrial Engineering-
crisitem.author.dept02.4. Department of Industrial Engineering-
Appears in Collections:Endüstri Mühendisliği Bölümü / Department of Industrial Engineering
Malzeme Bilimi ve Nanoteknoloji Mühendisliği Bölümü / Department of Material Science & Nanotechnology Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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