Critical angle threshold using local synchrophasors for real time angular instability detection. Issue 24 (2nd July 2020)

• Record Type: Journal Article
• Authors: Kumar, Deepa S.; J S, Savier
• Is Part Of: IET generation, transmission & distribution. Volume 14:Issue 24(2020)
• Page Start: 5888
• Page End: 5898
• Publication Date: 2020-07-02
• Subjects: phasor measurement -- synchronisation -- power system measurement -- power system reliability -- power transmission protection -- power system faults -- power engineering computing -- smart power grids -- power grids -- power system stability; proactive mitigation -- synchrophasor technology -- ACAT -- time basis -- time synchronised sampling -- local voltage -- current phasors -- time calculation -- index adaptive -- system topologies -- system vulnerabilities -- local system model -- external system -- intricate power system details -- angular separation -- key indicator -- standard IEEE test systems -- state grid system -- local synchrophasors -- time angular instability detection -- affordable power supply -- stable power supply -- reliable power supply -- sustainable power supply -- smart green grid -- adaptive critical angle threshold -- key index -- grid operator -- voltage 400.0 kV -- voltage 220.0 kV; Electric power production -- Periodicals; Electric power transmission -- Periodicals; Electric power distribution -- Periodicals; 621.3105
• DOI: 10.1049/iet-gtd.2020.0269
• Languages: English
• ISSNs: 1751-8687

Abstract

Abstract : An affordable, stable, reliable and sustainable power supply is the need of the hour, keeping in view the journey to a smart green grid. The present study and derivation of adaptive critical angle threshold (ACAT) contributes to this effect. The ACAT serves as a key index and an indicator to grid operator in proactive mitigation of angular instability in the grid, which is seen to be one of the major initiator of blackouts worldwide. The synchrophasor technology enables accurate calculation of ACAT on real time basis by time synchronised sampling of local voltage and current phasors. The real time calculation makes the index adaptive to variation in system topologies as well as system vulnerabilities. Furthermore, the local system model formed for deriving ACAT has less computational burden while capturing the dynamics of external system, without requirement of intricate power system details. The angular separation of the station bus under supervision can be monitored with respect to the critical angle and serve as a key indicator for initiation of preventive actions during contingencies. The devised methodology is tested using standard IEEE test systems as well as a practical 400/220 kV state grid system using ETAP/MATLAB.