Author, institution: Linas Markevičius, Kauno technologijos universitetas
Scientific Supervisor: Prof. Dr. Saulius GUDŽIUS (Kaunas University of Technology, Technological Sciences, Energetics and Power Engineering – 06T).
Science area, field: Technological Sciences, Energetics and Power Engineering – 06T
The Doctoral Dissertation is available at the libraries of Kaunas University of Technology (K. Donelaičio St. 20, Kaunas) and of Lithuanian Energy Institute (Breslaujos g. 3, Kaunas).
Doctoral dissertation defense board in the field of Energetics and Power Engineering:
Habil. Dr. Algirdas KALIATKA (Lithuanian Energy Institute, Technological Sciences, Energetics and Power Engineering – 06T) – chairman;
Prof. Dr. Ričardas KRIKŠTOLAITIS (Vytautas Magnus University, Technological Sciences, Energetics and Power Engineering – 06T);
Prof. Dr. Matti LEHTONEN (Aalto University, Technological Sciences, Energetics and Power Engineering – 06T);
Assoc. Prof. Dr. Saulius LISAUSKAS (Vilnius Gediminas Technical University, Technological Sciences, Electrical and Electronics Engineering – 01T);
Dr. Egidijus URBONAVIČIUS (Lithuanian Energy Institute, Technological Sciences, Energetics and Power Engineering – 06T).
Annotation:
For modern management of electrical distribution network the compilation of control functions and network modeling has become a challenging task. As a solution is smart grids concept , where one of the key functions is fault localization and selection of optimum electrical network structure for quick power supply recovery. To detect the faults various analysis methods based on evaluation of propagating electromagnetic waves were started to be use. The objective of the study – by using electromagnetic transient modeling technology for recorded processes with a high sampling frequency to simplify the equivalent diagram of a power distribution network and to create models allowing to adapt and optimize the parameters of the constituent parts of a power supply network exerting influence on the reliability of fast identification of the single phase earth fault location and allowing to identify the location of the single phase earth fault in the power distribution network. During the study was found that using the linearity characteristics in equations, that describe fast electromagnetic processes, is possible to establish the initial transient process moment, to reduce the influence of non-linear electrical network parameters, and to reduce the influence of the ongoing various extrinsic processes. A specific analysis algorithm was developed which according to the recorded characteristics of fast electromagnetic processes and based on the zero-sequence wave initial front-delay parameter allows to identify the distance to the fault location search area.
