Frequency Deviation Indicators for Estimation of Energy Balance State in Smart AC Grids

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dc.authoridAlagoz, Baris Baykant/0000-0001-5238-6433
dc.authoridKAYGUSUZ, ASİM/0000-0003-2905-1816
dc.authorwosidAlagoz, Baris Baykant/ABG-8526-2020
dc.authorwosidKeleş, Cemal/B-9025-2016
dc.authorwosidKAYGUSUZ, ASİM/C-2265-2015
dc.contributor.authorAlagoz, Baris Baykant
dc.contributor.authorKeles, Cemal
dc.contributor.authorKaygusuz, Asim
dc.contributor.authorAkcin, Murat
dc.date.accessioned2024-08-04T20:58:52Z
dc.date.available2024-08-04T20:58:52Z
dc.date.issued2016
dc.departmentİnönü Üniversitesien_US
dc.description4th International Istanbul Smart Grid Congress and Fair (ICSG) -- APR 20-21, 2016 -- Istanbul, TURKEYen_US
dc.description.abstractDue to increasing intermittent renewable energy utilization in smart grids, smart management of energy balance is becoming major concern of research studies. In the case of highly volatile generation and demand conditions, it is very important to estimate instant energy balance state of electricity grid to preserve energy balance automatically and avoid from the cases of generation deficiency and overloading. The utility frequency deviation is commonly used to restore power imbalance in AC grids. This study gives a discussion on the utilization of frequency deviation of AC power system as an indicator of energy balance state in smart grids. We consider two approaches to estimate instant AC frequency deviation of power systems under serious harmonic and noise conditions. The first one is based on frequency to amplitude conversion technique, which use band-pass ramp filtering of AC signal. The other method is based on the sinusoidal to pulse waveform conversion, and it uses measurement of pulse periods of the resulting square waveforms. We compare these two methods and discuss their advantages and disadvantages to generate a balance error signal for smart grid applications. A brief discussion on application of these signals for smart grid energy management is given.en_US
dc.description.sponsorshipRepubl Turkey, Minist EU Affairs,Turkiye Cumhuriyeti Kultur Turizm Bakanligi,KOSGEB,TEDAS,TEIAS,Istanbul Buyuksehir Belediyesi,Turkish Electro Technol,Energy Business Council, Foreign Econ Relat Board,Istanbul Kanalizasyon Idaresi,BOTAS,IGDAS Gokyuzuyle Arkadas,Istanbul Ticaret Odasi,Istabul Sanayi Odasi,UHE,UFI,Elder,GAZBIR,TENVA,Turk Sanayici Isadamlari VAKFI,Organize Sanayi Bolgeleri Dernegi,Teknoloji Ar Ge Bilim Inouasyon Dernegi,TURKCELL,Vodafone,LUNA,STATUEAZ,SABAH,HITACHI,KOHLER,ORACLE,aselsan,ERICSSON,NETAS,SIEMENS,Microsoft,best,HHB EXPO,Republ Turkey, Minist Sci Ind & Technol,Republ Turkey, Minist Environm & Urbanisat,Republ Turkey, Minist Energy & Nat Resources,EPDK, Republ Turkey,Istanbul Metropolitan Municipal,Ugetam,IEEE SMARTGRID,IEEE Power & Energy Socen_US
dc.identifier.endpage116en_US
dc.identifier.isbn978-1-5090-0866-7
dc.identifier.startpage112en_US
dc.identifier.urihttps://hdl.handle.net/11616/103236
dc.identifier.wosWOS:000389660400022en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isoenen_US
dc.publisherIeeeen_US
dc.relation.ispartof2016 4th International Istanbul Smart Grid Congress and Fair (Icsg)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectAC frequency deviationen_US
dc.subjectenergy balanceen_US
dc.subjectfrequency measurementen_US
dc.subjectsmart griden_US
dc.titleFrequency Deviation Indicators for Estimation of Energy Balance State in Smart AC Gridsen_US
dc.typeConference Objecten_US

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