Background and activities

I graduated from NTNU in 2009 with a MSc in Engineering Cybernetics. I worked in oil and gas related industry for six years before i joined SINTEF Energy Reserach in 2015. In SINTEF, I have been doing research and development on short-term hydropower optimization model SHOP. Since 2018, I have been an industrial PhD student at SINTEF and NTNU.

Optimal coordination of distributed energy resources

The energy system in rapidly changing from being dominated by centralized dispatchable generation, to a system with an increasing share of distributed non-dispatchable generation from renewable sources. The demand side is also changing from relatively passive consumers, to smart and active consumers capable of providing flexibility to the energy system.

Increasing penetration from renewable power generation such as solar and wind, and the increasing number electric vehicles (EV) may cause high peak loads in the distribution grid. On the other hand, flexible resources in the distribution grid serves as an alternative to expensive grid expansions. A key challenge in the future energy system will be optimal coordination of distributed energy resources considering the limitations in the transmission and distribution system, and the goal for this project is to develop methods and tools for this. The methods should be flexible and generic enough to be applicable both on high level systems, such as transmission, as well as low level system like distribution grids and microgrids.

The method development involves:

  • Account for grid limitations by including AC power flow.
  • Manage uncertainty due to intermittent generation and load variations.
  • Model different types of end user flexibility: EV charging including V2G, atomic shiftable loads, building thermal storage, batteries (grid installed or household)
  • Account for flexibility operation costs in terms of battery degradation, user comfort etc.
  • Interaction with transmission system
  • Coupling of models with different degree of details

The outcome of this research can be used for analyzing the value of flexibility in the distribution grid. It is also possible to compare different expansion strategies compared to increasing flexibility. The methods may also be useful as a decision support tool for both transmission and distribution system operators, and aggregators.