PhD Defence: Ashish Shrestha

Ashish Shrestha will defend his PhD degree. The dissertation is about ensuring that the power system remains stable and reliable, even when relying heavily on renewable energy sources such as wind and solar power.

18 Apr

Practical information

  • Date: 18 April 2024
  • Time: 10.00 - 16.00
  • Location: Porsgrunn, Room A-271 and Zoom
  • Download calendar file
  • Link to digital participation will be announced


    10.00. Trial lecture: Topic will be announced. 

    12.30. PhD Defence: Estimation of the energy-mix proportion for the secure operation of converter dominated power system.

    Evaluation comittee  

    • First examiner: Professor Francisco Jurado, University of Jaen, Spain
    • Second examiner: Professor Gina Maria Idárraga Ospina, Autonomous University of Nuevo León, Mexico
    • Administrator: Associate Professor Nils Jakob Johannesen, University of South-Eastern Norway 


    • Co-supervisors: Professor Marta Molinas, Norwegian University of Science and Technology, Associate Professor José Luis Rueda Torres, Delft University of Technology, Netherlands, and Associate Professor Thomas Øyvang, University of South-Eastern Norway 


Any questions?

Ashish Shrestha is defending his thesis for the degree philosophiae doctor (PhD) at the University of South-Eastern Norway.

The doctoral work has been carried out at the Faculty of Technology, Natural Sciences and Maritime Sciences in the program Process, Energy and Automation Engineering.

Portrett av Ashish Shrestha med sort hår og sorte briller og grå piquet-t-skjorte

Welcome to follow the trial lecture and the public defence.


Today's advancements in green technology bring promising news for the future of electricity, focusing on the continuous integration of renewable energy sources like wind and solar power. This PhD thesis highlights a critical challenge: maintaining a stable and secure electricity supply within the unpredictable nature of these eco-friendly power resources. Imagine attempting to illuminate a room with a flashlight that irregularly dims and brightens; it presents a similar challenge for the power grid.

This PhD thesis introduces strategies to ensure the power system remains steady and dependable, even as it props seriously on unpredictable energy resources. By employing advanced algorithms that learn and adapt—like improving skills through video game play—these methods can predict and manage power needs effectively. This approach ensures a consistent and sufficient power supply, smoothly integrating various power-generating technologies without interruption.

The findings are encouraging, demonstrating that a power system can indeed be both green and reliable. It's possible to heavily utilize renewable energy while ensuring homes and businesses experience no interruption in service. This advance represents a significant step towards a future where clean, sustainable energy is not only preferred but also practical, marking a success for sustainability and reliability.