My research aims to find ways of harnessing untapped potential of large number of distributed energy resources to enable their participation in system support. This will facilitate integration of intermittent energy sources, increase energy efficiency and defer capital investment in large central generation plants and in electricity network upgrade. Specific research areas include:
- Power system stability and control
- Power system deregulation and electricity markets
- Integration of renewable generation into power systems
- Demand response
- Energy management in residential buildings
- Control of wind power systems
- Probabilistic analysis of power systems
- Optimization methods applied to power systems
My major research contribution is in the field of voltage stability, where I proposed a novel method for voltage instability prediction based on local voltage and current phasors. As opposed to the vast majority of other methods that treat the system as a whole, my approach needs only the information that is readily available at every bus in the system that is equipped with a phasor measurement unit. As being rather unique, there are several advantages to this approach, most notably computational efficiency and no need for a communication link with a control centre, which means that it is completely local. The results of his research were well accepted in the research community, which also resulted in the IEEE prize paper award in 2006. My research work later focused on various areas related to electricity markets. For example, research on pricing ancillary services deals with a problem of pricing of power-reserves for frequency control. The proposed methods are well suited to small power systems, where an insufficient number of potential bidders makes an ancillary-services market difficult to organize. The main contribution is probabilistic treatment of the underlying problem. I extended his research on probabilistic modelling of power systems during his one year stay at University of Waterloo, Canada funded by a prestigious NSERC-NATO postdoctoral fellowship. My research concentrated on proposing and developing novel methods and tools to better represent system uncertainties in auction models used in electricity markets, to study the effect of these uncertainties in pricing and dispatch. My subsequent research effort focused on developing new methods and tools for stochastic optimization of multi energy carrier systems, including intermittent energy sources and hydrogen.
My current research interests are in power-system operation, dynamics and control, electricity markets, optimization applied to power systems, and distributed energy resources (DERs), in particular their integration into the system and participation in ancillary services. Lately, I have been mostly focusing on aggregation and control of DERs at the residential level, including smart appliances and electric vehicles, proposing ways how DERs can be used in balancing the increasingly volatile generation, dominated by intermittent renewable generation. I am focusing on scalable control algorithms enabling seamless integration and plug and play functionality. The aim is to empower the distribution system operator to control large number of DER as a dispatchable system resource. I am also interested in wind power integration, focusing of ancillary services, mostly frequency control, and market implications. Me and my students have proposed a novel control algorithm that enables participation of wind power system in system support by providing frequency regulation capability. The need for de-loaded operation is significantly reduced since the proposed approach makes it possible to use the kinetic energy of the rotating masses for this purpose.