Ali Arjomandi Nezhad

The retirement of conventional power plants in the electric grid reduces the system inertia. Lower inertia will increase the heterogeneity among the subnetworks of the system as the system will not behave as an integrated “rigid body” but separate units subject to external disturbances. A polynomial fitting approach will be used on the data to obtain equivalent H and D parameters in the swing equation. To characterize the diverse system properties, datadriven methods can provide a way forward utilizing the synchrophasor technology, while based on the system characteristics, more adaptive control methods need to be developed to improve the system stability. This ESR project aims to propose system-wide control algorithms to damp the observed oscillations among subsystems, generation, and loads, based on wide area data while adaptive to the system properties.


  • Host organisation: Imperial College of London, the United Kingdom
  • PhD-enrolment: Imperial College of London
  • Duration: 36 months
  • Expected start date: ~Nov 2021
  • Secondment: THiL (3 months), NTNU (3 months), NARI (2 months)

Research Directors:

  • Prof. Bikash Pal
  • Prof. Yusheng Xue
  • Prof. Damiano Varagnolo