Author, Institution: Paulius Cicėnas, Lithuanian Energy Institute
Science area, field of science: Technological Sciences, Energetics and Power Engineering, T006
Scientific Supervisor: Chief Researcher Dr. Virginijus Radziukynas (Lithuanian Energy Institute, Technological Sciences, Energetics and Power Engineering, T006)
Dissertation Defense Board of Energetics and Power Engineering Science Field:
Prof. Dr. Audrius Jonaitis (Kaunas University of Technology, Technological Sciences, Energetics and Power Engineering, T006) – chairperson
Prof. Dr. Saulius Gudžius (Kaunas University of Technology, Technological Sciences, Energetics and Power Engineering, T006)
Prof. Dr. Ričardas Krikštolaitis (Vytautas Magnus University, Natural Sciences, Mathematics, N001)
Dr. Sigitas Rimkevičius (Lithuanian Energy Institute, Technological Sciences, Energetics and Power Engineering, T006)
Prof. Dr. Antans Saulus Sauhats (Riga Technical University, Latvia, Technological Sciences, Energetics and Power Engineering, T006)
Dissertation defense meeting will be at the conference room at Lithuanian Energy Institute (Breslaujos 3 – 202, Kaunas)
The doctoral dissertation is available at the library of Kaunas University of Technology (Gedimino 50, Kaunas) and on the internet: P. Cicėnas el. dissertation (PDF)
Annotation: During the preparation of this dissertation, the applicability of parametric identification mathematical models was extended in the field of electric power systems control. The dissertation presents algorithms for ensuring frequency stability in hydro generators units and power generation module systems, which include frequency containment reserve and synthetic inertia algorithms. Using these algorithms, low-order continuous transfer functions were developed, which can be applied in practice and implemented in controllers. By utilizing mathematical models of the electric power system, the issue of active power “pit” in hydroelectric units was investigated, and an algorithm was developed to ensure frequency stability. This algorithm enables hydroelectric units to meet the frequency reserve activation requirements set by Commission Regulation (EU) 2016/631. Furthermore, using the mathematical model of a synchronous generator and applying parametric identification mathematical models, the synthetic inertia algorithm was developed, along with the identification of the synthetic inertia transfer function. The input signal for this synthetic inertia transfer function is the change in system frequency, while the output signal is the active power that corresponds to the inertia created by synchronous generators. Mathematical modeling demonstrated that when this synthetic inertia transfer function is implemented in the control system of power generation modules and connected to the electric power system grid, the power generation module will inject active power to the electric power system at the initial moment of disturbance. This active power will be equivalent to the inertia generated by the synchronous generator, thus contributing to stability and reliability of the electric power system. Notably, the developed synthetic inertia algorithm takes into account the inertia coefficient H, allowing the obtained synthetic inertia to be measured in seconds, analogous to the measurement units of synchronous generator inertia.
November 20 d. 10:00
Conference room at Lithuanian Energy Institute (Breslaujos 3 – 202)
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