Probabilistic approach to assess and minimize the voltage violation risk in active distribution networks

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dc.authorscopusid36198496600
dc.authorscopusid7006505111
dc.authorscopusid59340879200
dc.contributor.authorKenari,M.T.
dc.contributor.authorOzdemir,A.
dc.contributor.authorHeidari,A.
dc.date.accessioned2024-10-15T19:42:48Z
dc.date.available2024-10-15T19:42:48Z
dc.date.issued2024
dc.departmentKadir Has Universityen_US
dc.department-tempKenari M.T., Istanbul Technical University, Faculty of Electrical and Electronics Engineering, Istanbul, Turkey; Ozdemir A., Kadir Has University, Department of Electrical and Electronics Engineering, Istanbul, Turkey; Heidari A., Australian Energy Market Operator, Sydney, Australiaen_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.abstractThe increasing trend in using renewable energy resources in distribution systems has encouraged system operators to find the best methods to decrease the growing uncertainty's impact on system operation. A probabilistic approach based on the combination of Monte Carlo simulation and Particle Swarm Algorithm is proposed in this paper to reduce the risk of voltage magnitude violations. Also, a novel criterion is used to assess the risk of voltage magnitude violations in distribution system operation. This index is based on providing voltage samples using a probabilistic approach. Therefore, enhancing the confidence level of voltage risk is considered an objective function in finding the optimum location of energy storage systems. The proposed approach is applied to the IEEE 33-bus test system, and the results show that two ESS units installed at appropriate locations can solve all the voltage magnitude violation problems. © 2024 IEEE.en_US
dc.identifier.citation0
dc.identifier.doi10.1109/PMAPS61648.2024.10667064
dc.identifier.isbn979-835037278-6
dc.identifier.scopus2-s2.0-85204803784
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://doi.org/10.1109/PMAPS61648.2024.10667064
dc.identifier.urihttps://hdl.handle.net/20.500.12469/6595
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.subjectActive Distribution Systemen_US
dc.subjectEnergy Storage Systemen_US
dc.subjectMonte Carlo Simulationsen_US
dc.subjectParticle Swarm Optimizationen_US
dc.subjectProbabilistic Approachen_US
dc.subjectVoltage Violation Risken_US
dc.titleProbabilistic approach to assess and minimize the voltage violation risk in active distribution networksen_US
dc.typeConference Objecten_US
dspace.entity.typePublication

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