Print Email Facebook Twitter Out-of-Step Protection Based on Discrete Angle Derivatives Title Out-of-Step Protection Based on Discrete Angle Derivatives Author Tealane, M. (TU Delft Intelligent Electrical Power Grids; Tallinn University of Technology) Kilter, Jako (Tallinn University of Technology) Bagleybter, Oleg (GE Renewable Energy, Edinburgh) Heimisson, Birkir (Landsnet) Popov, M. (TU Delft Intelligent Electrical Power Grids) Date 2022 Abstract This paper presents an out-of-step protection algorithm based on angle derivatives, which makes use of wide-area measurements and can be applied on arbitrary tie-lines in electrical power systems. The developed algorithm uses PMU measurements that are taken at both ends of a transmission line. Based on the changes of the electrical quantities in the power system, the algorithm detects unstable system conditions. Thus, the developed solution is settingless and can be easily applied where an out-of-step condition is expected. The concept is deployed by using an industrial controller and tested by conducting numerous hardware-in-the-loop simulations. Additionally, recorded data from actual out-of-step events in the Icelandic power system are used to validate the developed algorithm. The performance of the implemented method is compared against the traditional impedance-based out-of-step protection methods. The results confirm that the proposed algorithm detects out-of-step conditions more reliably and faster than the traditional impedance-based solutions. Subject Out-of-step protectionpower system transient stabilityreal-time HIL testingtie-lines To reference this document use: http://resolver.tudelft.nl/uuid:0fad4e93-1fe1-4095-93c2-f7364c26a451 DOI https://doi.org/10.1109/ACCESS.2022.3193390 ISSN 2169-3536 Source IEEE Access, 10, 78290-78305 Part of collection Institutional Repository Document type journal article Rights © 2022 M. Tealane, Jako Kilter, Oleg Bagleybter, Birkir Heimisson, M. Popov Files PDF Out_of_Step_Protection_Ba ... atives.pdf 3.71 MB Close viewer /islandora/object/uuid:0fad4e93-1fe1-4095-93c2-f7364c26a451/datastream/OBJ/view