Optimal Sizing and Location of Energy Storage Systems for Transmission Grids Connected To Wind Farms☆

dc.contributor.author Misic, Arya Sevgen
dc.contributor.author Karatas, Mumtaz
dc.contributor.author Dasci, Abdullah
dc.date.accessioned 2025-03-25T21:37:04Z
dc.date.available 2025-03-25T21:37:04Z
dc.date.issued 2025
dc.description Karatas, Mumtaz/0000-0002-6287-3216 en_US
dc.description.abstract Although modern renewable power sources such as solar and wind are increasing their share of the world's power generation, they need to grow faster to replace a greater share of coal and gas power generation and thus, help prevent CO2 and other greenhouse gas emissions to reach critical levels. Renewable energy generation must be coupled with energy storage systems, which are unfortunately expensive investments. However, substantial cost savings maybe possible if a system-wide solution is sought. This paper presents such an attempt fora transmission grid that has a mixture of renewable and non-renewable sources. The particular problem is to find the type, location and size of the storage systems in the grid, as well as the structure of the transmission network, to minimize total investment and system-wide operating costs of power generation, transmission and storage. A mixed integer linear programming formulation is devised for the problem, which can be very large because various operational decisions are made at short intervals. Hence, we develop a "divide-and-conquer" type solution approach based on time decomposition, wherein the problem is first solved in monthly time segments. Subsequently, optimal or near-optimal monthly generation schedules are merged to construct the greater portion of a grand schedule for the whole year. Although still considerably large, the model can be solved effectively after another set of heuristically developed restrictions on the transmission network structure. The formulation and solution method are implemented on a series of realistic instances for a modest-sized transmission grid adapted from Sardinia Island of Italy to demonstrate the effectiveness of the approach and the insight into related design decisions. en_US
dc.identifier.doi 10.1016/j.omega.2025.103301
dc.identifier.issn 0305-0483
dc.identifier.issn 1873-5274
dc.identifier.scopus 2-s2.0-85218422627
dc.identifier.uri https://doi.org/10.1016/j.omega.2025.103301
dc.identifier.uri https://hdl.handle.net/20.500.14365/6001
dc.language.iso en en_US
dc.publisher Pergamon-elsevier Science Ltd en_US
dc.relation.ispartof Omega
dc.rights info:eu-repo/semantics/openAccess en_US
dc.subject Location en_US
dc.subject Sizing en_US
dc.subject Transmission Network en_US
dc.subject Electric Grid en_US
dc.subject Integer Programming en_US
dc.title Optimal Sizing and Location of Energy Storage Systems for Transmission Grids Connected To Wind Farms☆ en_US
dc.type Article en_US
dspace.entity.type Publication
gdc.author.id Karatas, Mumtaz/0000-0002-6287-3216
gdc.author.scopusid 59491388700
gdc.author.scopusid 56533522900
gdc.author.scopusid 7801314618
gdc.author.wosid Sevgen Misiç, Arya/Agu-7294-2022
gdc.author.wosid Karatas, Mumtaz/E-4168-2018
gdc.bip.impulseclass C5
gdc.bip.influenceclass C5
gdc.bip.popularityclass C4
gdc.coar.access open access
gdc.coar.type text::journal::journal article
gdc.collaboration.industrial false
gdc.description.department İzmir Ekonomi Üniversitesi en_US
gdc.description.departmenttemp [Misic, Arya Sevgen] Izmir Univ Econ, Ind Engn Dept, TR-35330 Izmir, Turkiye; [Karatas, Mumtaz] Wright State Univ, Dept Biomed Ind & Human Factors Engn, Dayton, OH 45435 USA; [Dasci, Abdullah] Sabanci Univ, Sabanci Business Sch, TR-34956 Istanbul, Turkiye en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality Q1
gdc.description.volume 134 en_US
gdc.description.woscitationindex Science Citation Index Expanded - Social Science Citation Index
gdc.description.wosquality Q1
gdc.identifier.openalex W4407856783
gdc.identifier.wos WOS:001433233900001
gdc.index.type WoS
gdc.index.type Scopus
gdc.oaire.accesstype HYBRID
gdc.oaire.diamondjournal false
gdc.oaire.impulse 2.0
gdc.oaire.influence 2.58521E-9
gdc.oaire.isgreen true
gdc.oaire.popularity 4.2572355E-9
gdc.oaire.publicfunded false
gdc.openalex.fwci 4.0483
gdc.openalex.normalizedpercentile 0.93
gdc.openalex.toppercent TOP 10%
gdc.opencitations.count 0
gdc.plumx.crossrefcites 2
gdc.plumx.mendeley 17
gdc.plumx.newscount 1
gdc.plumx.scopuscites 2
gdc.scopus.citedcount 2
gdc.wos.citedcount 2
relation.isOrgUnitOfPublication e9e77e3e-bc94-40a7-9b24-b807b2cd0319
relation.isOrgUnitOfPublication.latestForDiscovery e9e77e3e-bc94-40a7-9b24-b807b2cd0319

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
6001.pdf
Size:
2.26 MB
Format:
Adobe Portable Document Format