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This thesis aims to provide insight into the necessary power system operation and control developments to facilitate a sustainable, safe and reliable electric power supply now and in the future. The primary objective is to enhance the interconnected power system situational awareness with the aim of reinforcing the reliability of power systems. First, the thesis elaborates on the existing and emerging operational challenges of modern power systems and identifies the required power system developments to overcome them. Next, it focuses on state-of-the-art Synchronised Measurement Technology (SMT) supported Wide-area Monitoring Protection and Control (WAMPAC) of power systems. In this context, a cyber-physical experimental testbed for online evaluation of the emerging WAMPAC applications under realistic conditions is developed. Following, to fill the scientific gap between the IEEE Std. C37.118-2005 (communication part) and IEEE Std. C37.118.2-2011 specifications and their implementation, the MATLAB supported Synchro-measurement Application Development Framework is developed. Next, to improve situational awareness of power systems, two SMT-supported algorithms are proposed. The first algorithm is suitable for online detection of disturbances, observed as excursions in SMT measurements, in AC and HVDC power grids. Whereas the second algorithm is suitable for online identification of grouping changes of slow coherent generators in an interconnected power system during quasi-steady-state and the electromechanical transient period following a disturbance. Finally, further research directions towards the Control Room of Future are presented.
Original languageEnglish
QualificationDoctor of Philosophy
Awarding Institution
Supervisors/Advisors
Award date30 Mar 2020
Print ISBNs978-94-6384-118-4
DOIs
Publication statusPublished - 2020

    Research areas

  • energy transition, power system automation, synchronised measurement technology, situational awareness, phasor measurement unit, disturbance detection, control room of future, slow coherency

ID: 71067234