Gelişmiş Arama

Basit öğe kaydını göster

dc.contributor.authorOnen, Ahmet
dc.contributor.authorJung, Jaesung
dc.contributor.authorDilek, Murat
dc.contributor.authorCheng, Danling
dc.contributor.authorBroadwater, Robert P.
dc.contributor.authorScirbona, Charlie
dc.contributor.authorCocks, George
dc.contributor.authorHamilton, Stephanie
dc.contributor.authorWang, Xiaoyu
dc.date.accessioned2021-11-10T08:12:18Z
dc.date.available2021-11-10T08:12:18Z
dc.date.issued2016en_US
dc.identifier.issn1532-5008
dc.identifier.issn1532-5016
dc.identifier.urihttps://doi.org/10.1080/15325008.2015.1121416
dc.identifier.urihttps://hdl.handle.net/20.500.12573/1025
dc.descriptionThe authors would like to thank Electrical Distribution Design, Inc., Orange & Rockland, and Brookhaven National Laboratory for providing data, funding, and technical assistance.en_US
dc.description.abstractA series of analyses along with field validations that evaluate efficiency, reliability, and capacity improvements of model-centric distribution automation are presented. With model-centric distribution automation, the same model is used from design to real-time control calculations. A 14-feeder system with 7 substations is considered. The analyses involve hourly time-varying loads and annual load growth factors. Phase balancing and capacitor redesign modifications are used to better prepare the system for distribution automation, where the designs are performed considering time-varying loads. Coordinated control of load tap changing transformers, line regulators, and switched capacitor banks is considered. In evaluating distribution automation versus traditional system design and operation, quasi-steady-state power flow analysis is used. In evaluating distribution automation performance for substation transformer failures, reconfiguration for restoration analysis is performed. In evaluating distribution automation for storm conditions, Monte Carlo simulations coupled with reconfiguration for restoration calculations are used. The evaluations demonstrate that model-centric distribution automation has positive effects on system efficiency, capacity, and reliability.en_US
dc.description.sponsorshipElectrical Distribution Design, Inc. Orange Rockland United States Department of Energy (DOE)en_US
dc.language.isoengen_US
dc.publisherTAYLOR & FRANCIS INC530 WALNUT STREET, STE 850, PHILADELPHIA, PA 19106en_US
dc.relation.isversionof10.1080/15325008.2015.1121416en_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectcoordinated controlen_US
dc.subjectpower system efficiencyen_US
dc.subjectdistribution automationen_US
dc.subjectpower system capacityen_US
dc.subjectpower system reliabilityen_US
dc.subjectMonte Carlo simulationen_US
dc.titleModel-centric Distribution Automation: Capacity, Reliability, and Efficiencyen_US
dc.typearticleen_US
dc.contributor.departmentAGÜ, Mühendislik Fakültesi, Elektrik - Elektronik Mühendisliği Bölümüen_US
dc.contributor.authorID0000-0001-7086-5112en_US
dc.contributor.institutionauthorOnen, Ahmet
dc.identifier.volumeVolume 44 Issue 5 Page 495-505en_US
dc.relation.journalELECTRIC POWER COMPONENTS AND SYSTEMSen_US
dc.relation.publicationcategoryMakale - Uluslararası - Editör Denetimli Dergien_US


Bu öğenin dosyaları:

Thumbnail

Bu öğe aşağıdaki koleksiyon(lar)da görünmektedir.

Basit öğe kaydını göster