Stochastic Generation and Transmission Expansion Planning using Sample Average Approximation

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dc.authorscopusid58246307800
dc.authorscopusid55923476300
dc.contributor.authorAltun, O.
dc.contributor.authorKaratepe, E.
dc.date.accessioned2024-08-25T18:53:41Z
dc.date.available2024-08-25T18:53:41Z
dc.date.issued2023
dc.departmentEge Üniversitesien_US
dc.description13th International Symposium on Advanced Topics in Electrical Engineering, ATEE 2023 -- 23 March 2023 through 25 March 2023 -- 188327en_US
dc.description.abstractThe issue of modeling and incorporating uncertainty considering tractability in the planning of electrical power systems has become important for planners to maintain a reliable system. In this study, the generation and transmission expansion planning is performed considering the uncertainty in load and wind generation. The sample average approximation (SAA) method is used to obtain deterministic equivalent of stochastic optimization problems in a mixed integer linear programming (MILP) framework. The problem is formulated with a large number of independent samples, each small in size, to reduce computational effort. The results are presented by comparing them with investment decisions made using a single large sample size. It is observed that the presented approach can be used as an alternative in terms of sufficiently operationalizable to produce optimal investment decisions in mathematical programming. © 2023 IEEE.en_US
dc.identifier.doi10.1109/ATEE58038.2023.10108334
dc.identifier.isbn9798350331936
dc.identifier.scopus2-s2.0-85159064941en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://doi.org/10.1109/ATEE58038.2023.10108334
dc.identifier.urihttps://hdl.handle.net/11454/103208
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartof13th International Symposium on Advanced Topics in Electrical Engineering, ATEE 2023en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmz20240825_Gen_US
dc.subjectgeneration and transmission expansion planningen_US
dc.subjectsample average approximationen_US
dc.subjectstochastic programmingen_US
dc.subjectElectric loadsen_US
dc.subjectElectric power system planningen_US
dc.subjectElectric power transmissionen_US
dc.subjectInteger programmingen_US
dc.subjectInvestmentsen_US
dc.subjectStochastic systemsen_US
dc.subjectUncertainty analysisen_US
dc.subjectApproximation methodsen_US
dc.subjectDeterministic equivalentsen_US
dc.subjectElectrical power systemen_US
dc.subjectGeneration expansion planningen_US
dc.subjectReliable systemsen_US
dc.subjectSample average approximationen_US
dc.subjectStochastic generationen_US
dc.subjectTransmission expansion-planningen_US
dc.subjectUncertaintyen_US
dc.subjectWind generationen_US
dc.subjectStochastic programmingen_US
dc.titleStochastic Generation and Transmission Expansion Planning using Sample Average Approximationen_US
dc.typeConference Objecten_US

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