“Model of power plants and energy storage systems control for wind power balancing”

Author, institution: Audrius Baranauskas, Kaunas University of Technology

Science area, field: Technological Sciences, Energetics and Power Engineering

The Dissertation is available at the libraries of Kaunas University of Technology (K. Donelaičio St. 20, Kaunas) and Lithuanian Energy Institute (Breslaujos St. 3, Kaunas).

Scientific supervisors:

Prof. Dr. Rimantas Pranas DEKSNYS (Kaunas University of Technology, Technological Sciences, Energetics and Power Engineering – 06T), 2010–2011;

Assoc. Prof. Dr. Mindaugas AŽUBALIS (Kaunas University of Technology, Technological Sciences, Energetics and Power Engineering – 06T).

Board of Energetics and Power Engineering science field:

Prof. Dr. Habil. Stasys ŠINKŪNAS (Kaunas University of Technology, Technological Sciences, Energetics and Power Engineering − 06T) – chairman;

Prof. Dr. Habil. Juozas AUGUTIS (Vytautas Magnus University, Technological Sciences, Energetics and Power Engineering − 06T);

Assoc. Prof. Dr. Audrius JONAITIS (Kaunas University of Technology, Technological Sciences, Energetics and Power Engineering − 06T);

Dr. Antanas MARKEVIČIUS (Lithuanian Energy Institute, Technological Sciences, Energetics and Power Engineering − 06T);

Prof. Dr. Habil. Roma RINKEVIČIENĖ (Vilnius Gediminas Technical University, Technological Sciences, Electrical and Electronics Engineering − 01T).

Annotation:

The installed wind power is rapidly increasing due to the pervasive usage of renewable energy sources for electricity generation. Such power plants output power is highly dependent on local prevailing wind direction and speed. The parameters of wind however are characterized by high volatility and causing wind power plants generation fluctuations and therefore worsens the quality of supplied energy. Moreover it complicates the whole power system operating conditions. The energy storage could be a good solution for the balancing of wind power, however the lack of broader viewpoint for integration of these energy storage systems into power system operation and control strategies still remains.
The main goal of this thesis is to create a dynamic model of the wind power balancing control and to reduce the intensity of regulation of the balancing power plants.
In the thesis, the wind power balancing options are expanded by proposed dynamic models according to control signal rate of change and power plants ramp rates. The influence of wind power forecasting errors to regulating power reserve has been investigated. The required energy storage system parameters for wind power balancing were determined and the regulation intensity of conventional power plants was reduced.
The results obtained in the thesis are useful for energy storage systems integration into the central automatic generation control system. The solutions proposed let to increase the determination accuracy of regulating active power reserves and improve the quality of the system control parameters.