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Real time active power control in smart grid

dc.contributor.author Shobole A.
dc.contributor.author Wadi M.
dc.contributor.author Mehmet Rtda T.U.R.
dc.contributor.author Baysal M.
dc.date.accessioned 14.07.201910:50:10
dc.date.accessioned 2019-07-16T20:42:33Z
dc.date.available 14.07.201910:50:10
dc.date.available 2019-07-16T20:42:33Z
dc.date.issued 2017
dc.department [Belirlenecek] en_US
dc.department-temp Shobole, A., Electrical and Electronics Engineering Department, Istanbul Sabahattin Zaim University, Istanbul, Turkey -- Wadi, M., Electrical and Electronics Engineering Department, Istanbul Sabahattin Zaim University, Istanbul, Turkey -- Mehmet Rtda, T.U.R., Electrical and Energy Department, Mardin Artuklu University, Mardin, Turkey -- Baysal, M., Electrical Engineering Department, Yildiz Technical University, Istanbul, Turkey en_US
dc.description 6th IEEE International Conference on Renewable Energy Research and Applications, ICRERA 2017 -- 5 November 2017 through 8 November 2017 -- -- 133700 en_US
dc.description.abstract A power balance between supply and demand is essential for reliable and stable operation of power grids. The mismatch between supply and demand causes the frequency deviations which results in malfunction of most of the electrical devices. Moreover, it affects the system stability resulting in system blackouts as that of USA, in 2003. For decades the balancing of supply and demand was based on generation side control of power systems through ahead of time generation dispatch scheduling. The smart grid is being used today to describe technologies and methods that automatically and rapidly isolate faults, restore power, monitor demand, and maintain and restore stability for more reliable electric power. Thus, in this study, a method of controlling active power (balancing demand and supply) in real time is proposed. This method is feasible in smart grid as communication and advanced information technologies are used for real time data exchange about the generation, demand, storage, market, environmental conditions, and other necessary data. These data are important in making decisions about real-time supply and demand balancing in the smart grid. Additionally, in smart grid, taking the advantage of demand response and storage systems, it is possible to balance demand and supply in realtime. The simulation is done by the DigSilent Power Factory simulation tool for verification of the proposed method. In addition to an electric network modeling part of the simulation tool, the DigSilent Programming Language (DPL) feature is used for coding the decision making program. © 2017 IEEE. en_US
dc.identifier.doi 10.1109/DISTRA.2017.8191128
dc.identifier.endpage 590 en_US
dc.identifier.isbn 9781538620953
dc.identifier.scopus 2-s2.0-85042715113
dc.identifier.startpage 585 en_US
dc.identifier.uri https://dx.doi.org/10.1109/DISTRA.2017.8191128
dc.identifier.uri https://hdl.handle.net/20.500.12514/1140
dc.identifier.volume 2017-January en_US
dc.indekslendigikaynak Scopus en_US
dc.language.iso en en_US
dc.publisher Institute of Electrical and Electronics Engineers Inc. en_US
dc.relation.ispartof 2017 6th International Conference on Renewable Energy Research and Applications, ICRERA 2017 en_US
dc.relation.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.scopus.citedbyCount 25
dc.subject Demand and supply en_US
dc.subject Demand response en_US
dc.subject DigSilent power factory en_US
dc.subject Real time control en_US
dc.subject Smart generation en_US
dc.subject Smart grid en_US
dc.subject Smart grid domains en_US
dc.title Real time active power control in smart grid en_US
dc.type Conference Object en_US
dspace.entity.type Publication

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