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Stability Issues in Modern Power Systems
Koudelka, Jan ; Schürhuber, Robert (oponent) ; Braciník,, Peter (oponent) ; Toman, Petr (vedoucí práce)
The thesis deals with the issue of stability in modern power systems, which are characterized by an increase in the share of renewable sources and the integration of new technologies. The thesis is conceived as a set of explanatory notes, comments and remarks to peer-reviewed papers published by the author in proceedings and journals. The selected papers presented in the thesis concern three categories: transient (rotor angle) stability of the power system, frequency stability of the power system and under-frequency load shedding. The main topics presented are calculation of critical clearing time as an indicator of transient stability and the possibility of using new technologies, such as charging stations for electric vehicles, to support the system in an emergency state. The fundamental method used for analysis is dynamic simulations on simplified models of power systems.
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Finanční hodnocení investičního projektu
Zoubek, Václav ; Sieber, Martina (vedoucí práce) ; Vlček, Josef (oponent)
Cílem bakalářské práce je finanční hodnocení investice v oblasti oděvního průmyslu. První část práce shrnuje vybranou odbornou literaturu k tématu hodnocení investic od investičních projektů, nákladů na kapitál, rizika až k samotnému stanovení hodnoty. Prostor je věnován také porovnání metod investičního rozhodování. Druhá část práce se věnuje samotnému investičnímu projektu a využití teoretických poznatků k jeho ohodnocení.
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Forecasting System for Truck Parking Based on Statistical Modeling of Indirect Data
Brabec, Marek ; Konár, Ondřej ; Kasanický, Ivan ; Pelikán, Emil ; Malý, Marek ; Lokaj, Z. ; Zelinka, T.
In this paper, we describe briefly ongoing work on a project devoted to development and pilot verification of a system for highway truck parking detection and forecasting. The project has been funded by the Technological Agency of the Czech Republic (TACR) during 2012-2014 as the project number TA02031411: “Increasing the usage of parking capacity on highways using prediction models”. It is based on a unique collaboration of Faculty of Transportation Sciences, Czech Technical University in Prague, Institute of Computer Science, Academy of Sciences of the Czech Republic, Inoxive Ltd. and Kapsch Telematic Services Ltd.
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