A two-stage stochastic programming approach for reliability constrained power system expansion planning

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buir.contributor.authorPeker, Meltem
buir.contributor.authorKocaman, Ayşe Selin
buir.contributor.authorKara, Bahar Yetiş
dc.citation.epage469en_US
dc.citation.spage458en_US
dc.citation.volumeNumber103en_US
dc.contributor.authorPeker, Meltemen_US
dc.contributor.authorKocaman, Ayşe Selinen_US
dc.contributor.authorKara, Bahar Yetişen_US
dc.date.accessioned2019-02-21T16:01:37Z
dc.date.available2019-02-21T16:01:37Z
dc.date.issued2018en_US
dc.departmentDepartment of Industrial Engineeringen_US
dc.description.abstractProbabilistic realizations of outages and their effects on the operational costs are highly overlooked aspects in power system expansion planning. Since the effect of randomness in contingencies can be more prominent especially when transmission switching is considered, in this paper we introduce contingency-dependent transmission switching concept to ensure N-1 criterion. To include randomness of outages and the outputs (i.e. flow on the lines/generation amounts) during the outages, we represent each contingency by a single scenario. Status of transmission lines, generation amounts and power flow decisions are defined as recourse actions of our two-stage stochastic model, therefore, expected operational cost during the contingencies are taken into account in a more accurate manner. A solution methodology with a filtering technique is also proposed to overcome the computational burden. The model and the solution methodology are tested on the IEEE Reliability Test System and IEEE 118-bus power system and the results show that the solution method finds the solutions for these power systems in significantly shorter solution times. The solution method is also tested on a new data set for the 380-kV Turkish transmission network. Suggestions for possible extensions of the problem and the modifications of the solution approach to handle these extensions are also discussed.
dc.description.provenanceMade available in DSpace on 2019-02-21T16:01:37Z (GMT). No. of bitstreams: 1 Bilkent-research-paper.pdf: 222869 bytes, checksum: 842af2b9bd649e7f548593affdbafbb3 (MD5) Previous issue date: 2018en
dc.embargo.release2020-12-01en_US
dc.identifier.doi10.1016/j.ijepes.2018.06.013
dc.identifier.issn0142-0615
dc.identifier.urihttp://hdl.handle.net/11693/49886
dc.language.isoEnglish
dc.publisherElsevier
dc.relation.isversionofhttps://doi.org/10.1016/j.ijepes.2018.06.013
dc.source.titleInternational Journal of Electrical Power and Energy Systemsen_US
dc.subjectFilteringen_US
dc.subjectGeneration and transmission expansion planningen_US
dc.subjectReliabilityen_US
dc.subjectStochastic programmingen_US
dc.subjectTransmission switchingen_US
dc.titleA two-stage stochastic programming approach for reliability constrained power system expansion planningen_US
dc.typeArticleen_US

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