Energy-based analysis and control of power networks and markets: Port-Hamiltonian modeling, optimality and game theory

Tjerk Wiebe Stegink

Research output: ThesisThesis fully internal (DIV)

312 Downloads (Pure)


This research studies the modeling, control and optimization of power networks. A unifying mathematical approach is proposed for the modeling of both the physical power network as well as market dynamics. For the physical system, several models of varying complexity describing the changes in frequency and voltages are adopted. For the electricity market, various dynamic pricing algorithms are proposed that ensure a optimal dispatch of power generation and demand (via flexible loads). Such pricing algorithms can be implemented in real-time and using only local information that is available in the network (such as the frequency). By appropriately coupling the physical dynamics with the pricing algorithms, stability of the combined physical-economical system is proven. This in particular shows how real-time dynamic pricing can be used as a control method to achieve frequency regulation and cost efficiency in the network.
Original languageEnglish
QualificationDoctor of Philosophy
Awarding Institution
  • University of Groningen
  • De Persis, Claudio, Supervisor
  • van der Schaft, Arjan, Supervisor
Award date7-Dec-2018
Place of Publication[Groningen]
Print ISBNs978-94-034-1203-0
Electronic ISBNs978-94-034-1202-3
Publication statusPublished - 2018

Cite this