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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Mcloone, Seán
Queen's University Belfast
in Cooperation with on an Cooperation-Score of 37%
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Publications (3/3 displayed)
- 2023IEC 61850-9-2 based module for state estimation in co-simulated power grids
- 2023Interpretable machine learning methods for monitoring polymer degradation in extrusion of polylactic acidcitations
- 2012MSC-clustering and forward stepwise regression for virtual metrology in highly correlated input spacescitations
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article
IEC 61850-9-2 based module for state estimation in co-simulated power grids
Abstract
Thispaperpresentsaresearchcontextonthevirtualizationof phasor measurement units(PMUs) and real-time powergrids simulationwith state estimation.Inthisresearch,real-timesimulationisintroducedtouse powerfulfeaturesforvalidatingstateestimationsolutionswithPMUs. Virtual andonlinemeasurementequipment are reviewed in this manuscript todevelopaninnovativeintegrationoftheOpenPMUincorporatedwitha real-timesimulationpowergridandadditionalvirtualizedPMUs.The implementationof the platform has useful featureswithin theinfrastructure thatallowstheusertoreproduceadetailedmodeledpowergridwith simulationsoftware.Theuseofreal-timesimulationtoolsbringsseveral possibilitiesforimprovingtestingandprototypeassessmentwithhigher precisionindifferentapplications.Inthiscase,2testspowersystemsare evaluated by realistic integration of IEC61850-9-2 data utilization to observe theperformanceofacustomizedstateestimationapproach.Thestudy implements a versatile methodology for commissioning OpenPMU devices, interactingsimultaneouslywithadditionalvirtualPMUswithinthesame simulation through sampled values (SV)to validate the measurement frames and assess the estimation with the generated data. Finally, the proposed work identifiesthepotentialofvirtualizingPMUsandthefeaturesofthe OpenPMUappliedtostateestimationinconjunction withreal-time simulation data.