Composite system reliability assessment to reduce the curtailment risk using the storage systems

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dc.contributor.authorKoksal A.
dc.contributor.authorOzdemir A.
dc.date.accessioned2024-03-13T10:00:57Z
dc.date.available2024-03-13T10:00:57Z
dc.date.issued2022
dc.departmentİstanbul Beykent Üniversitesien_US
dc.description7th IEEE International Energy Conference, ENERGYCON 2022 -- 9 May 2022 through 12 May 2022 -- -- 181231en_US
dc.description.abstractThe rapidly changing demand requires more flexible power generation to meet the load. At this point, energy storage systems can play a critical role as a supply-demand balancer. This paper introduces a probabilistic and cost-effective storage integration assessment method to achieve a more reliable power system operation. For this purpose, probabilistic power flow values and the load levels, determined by Monte Carlo simulations, are used to calculate the load curtailments (LCs). After obtaining the riskiest load busses for individual and total LCs, the reliability analysis is performed, and the contingency cases are classified using the k-means clustering algorithm. At the final step of the study, the impacts of the storage system on the system reliability and cost-effectivity are compared to identify the best alternative. The proposed assessment is applied to the IEEERTS-96 test system, and the results are discussed. © 2022 IEEE.en_US
dc.identifier.doi10.1109/ENERGYCON53164.2022.9830234
dc.identifier.isbn9781665479820
dc.identifier.scopus2-s2.0-85136144022en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://doi.org/10.1109/ENERGYCON53164.2022.9830234
dc.identifier.urihttps://hdl.handle.net/20.500.12662/2894
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartofENERGYCON 2022 - 2022 IEEE 7th International Energy Conference, Proceedingsen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectComposite System Reliability Assessmenten_US
dc.subjectcontingency analysisen_US
dc.subjectCost-effectivityen_US
dc.subjectload curtailmentsen_US
dc.subjectMonte Carlo simulationsen_US
dc.subjectstorage systemsen_US
dc.titleComposite system reliability assessment to reduce the curtailment risk using the storage systemsen_US
dc.typeConference Objecten_US

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