Voltage Profile Improvement in Unbalanced Distribution Networks for Probabilistic Generation and Consumption

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dc.authorscopusid58651207300
dc.authorscopusid59341086900
dc.authorscopusid35243349200
dc.authorscopusid7006505111
dc.contributor.authorCeylan, Oğuzhan
dc.contributor.authorCeylan,O.
dc.contributor.authorPisica,I.
dc.contributor.authorÖzdemir,A.
dc.date.accessioned2024-10-15T19:42:46Z
dc.date.available2024-10-15T19:42:46Z
dc.date.issued2024
dc.departmentKadir Has Universityen_US
dc.department-tempBamatraf M., Istanbul Technical University, Department of Electrical Eng., Turkey; Ceylan O., Kadir Has University, Department of Management Information Systems, Turkey; Pisica I., Brunel University, Department of Electrical and Computer Engineering, London, United Kingdom; Özdemir A., Kadir Has University, Department of Electrical and Electronics Engineering, Turkeyen_US
dc.description100% Pure New Zealand; AUT; Centre for Future Power and Energy Research; et al.; IEEE New Zealand North Section; New Zealand Tourismen_US
dc.description.abstractDue to their technical, economical, and environmental advantages, active distribution networks implement renewable energy resources (RERs) such as photovoltaic (PV) units in distribution networks DNs. However, some drawbacks may arise due to the intermittent nature of RERs, such as voltage fluctuations and increased system losses. This paper presents an optimization problem that is solved by sequential linear programming (SLP) to improve the voltage profile of the unbalanced distribution network. A probabilistic approach was applied to both the load profile and the active power generation of the PV units. SLP is applied to the modified IEEE 34 Bus Test system. The method optimizes the voltage deviations by changing the taps of the voltage regulators and the reactive power injected by the inverters of the PV systems and, in some cases, by switching a shunt capacitor. MATLAB simulations are done at different times of the day with different loads and PV outputs to compare base case and optimal case voltage profiles. The results show better voltage profiles after applying the presented approach. © 2024 IEEE.en_US
dc.identifier.citation0
dc.identifier.doi10.1109/PMAPS61648.2024.10667300
dc.identifier.isbn979-835037278-6
dc.identifier.scopus2-s2.0-85204762488
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://doi.org/10.1109/PMAPS61648.2024.10667300
dc.identifier.urihttps://hdl.handle.net/20.500.12469/6591
dc.identifier.wosqualityN/A
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartofPMAPS 2024 - 18th International Conference on Probabilistic Methods Applied to Power Systems -- 18th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2024 -- 24 June 2024 through 26 June 2024 -- Auckland -- 202553en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectdistributed generationen_US
dc.subjectPV systemsen_US
dc.subjectsequential linear programmingen_US
dc.subjectUnbalanced distribution networksen_US
dc.titleVoltage Profile Improvement in Unbalanced Distribution Networks for Probabilistic Generation and Consumptionen_US
dc.typeConference Objecten_US
dspace.entity.typePublication
relation.isAuthorOfPublicationb80c3194-906c-4e78-a54c-e3cd1effc970
relation.isAuthorOfPublication.latestForDiscoveryb80c3194-906c-4e78-a54c-e3cd1effc970

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