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Decision-making framework for power system with RES including responsive demand, ESSs, EV aggregator and dynamic line rating as multiple flexibility resources

dc.contributor.authorErdinc, F. Gulsen
dc.contributor.authorCicek, Alper
dc.contributor.authorErdinc, Ozan
dc.contributor.authorYumurtaci, Recep
dc.contributor.authorOskouei, Morteza Zare
dc.contributor.authorMohammadi-Ivatloo, Behnam
dc.date.accessioned2026-06-27T14:44:59Z
dc.date.issued2022
dc.description.abstractThe carbon emissions emitted from conventional energy sources and the possibility of extinction of these sources in the near future push the states to seek new energy alternatives, namely renewable energy sources (RESs). In this respect, considering the increasing number of RESs thanks to the incentives of more environmentally friendly sources, and new generation loads, it is vital to use flexibility options in order to ensure reliability in the power systems. In this respect, this study deals with the stochastic optimum operating problem in a power system with wind power plants (WPPs), where dynamic line rating (DLR), pumped hydro energy storage (PHESS), common energy storage (CES), demand response (DR) and electric vehicle (EV) aggregator (EVAGG) is considered as flexibility options. With the proposed structure, an effective decision-making approach is presented that can meet all the requirements of power system operation, both technically and economically. Besides, various case studies carry out to demonstrate the effectiveness of the proposed framework in the IEEE 6-bus and IEEE 24-bus test system. According to the results obtained, PHESS has the most effect on minimization of wind spillage and total system operation cost, and when all flexibility options are evaluated, the total cost is significantly reduced, and no-load shedding occurs. The proposed model has a significant effect on reducing the total operation cost.en
dc.description.sponsorshipScientific and Technological Research Council of Turkey (TUBITAK)
dc.description.sponsorshipIranian Ministry of Science, Research and Technology (MSRT) [119N711]
dc.description.sponsorshipTurkish Academy of Sciences (TuBA) under Distinguished Young Scientist Programme (GEB.IP)
dc.description.urihttps://doi.org/10.1016/j.epsr.2021.107702
dc.identifier.doi10.1016/j.epsr.2021.107702
dc.identifier.eissn1873-2046
dc.identifier.issn0378-7796
dc.identifier.urihttps://hdl.handle.net/20.500.14981/64287
dc.identifier.volume204
dc.identifier.wos000793772500006
dc.language.isoeng
dc.publisherELSEVIER SCIENCE SA
dc.relation.ispartofELECTRIC POWER SYSTEMS RESEARCH
dc.subjectDemand response
dc.subjectDynamic line rating
dc.subjectEnergy storage systems
dc.subjectElectric vehicle aggregator
dc.subjectOptimal operation of power system
dc.subjectAbbreviations, ces, Common energy storage
dc.subjectdlr, Dynamic line rating
dc.subjectev, Electric vehicle
dc.subjectevagg, Electric vehicle aggregator
dc.subjectlse, Load serving entity
dc.subjectPHESS, Pumped hydro energy storage system
dc.subjectWPP, Wind power plant
dc.subjectRELIABILITY
dc.subjectEngineering
dc.titleDecision-making framework for power system with RES including responsive demand, ESSs, EV aggregator and dynamic line rating as multiple flexibility resources
dc.typeArticle
dspace.entity.typePublication
local.import.sourceWOS

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