Martin Wolter Libri

The behavior and utilization of the electric power system is strongly influenced by the divergent interests of different market participants, particularly in the distribution level. To find a convenient grid operation strategy, decentralized energy management systems are applied. Knowledge of the grid state is essential for these management systems to work. For historical reasons measurement facilities are sparsely spread in distribution grids. Thus, grid states are not uniquely determinable solely by measured values but have to be estimated using on the one hand supplementary predicted values and on the other hand intelligent methods to infer on probable grid states. In this work different methods of state identification of underdetermined distribution grids are developed. They vary in the use of available information, the objective and the way, the grid state is determined.

In liberalized energy markets, various participants—including producers, consumers, transmission and distribution operators, and regulatory authorities—exhibit both divergent and convergent interests. While entities like loads, power plants, and grid operators often prioritize their own benefits, this competitive dynamic can jeopardize shared goals such as voltage stability, constant system frequency, and efficient energy management. Challenges arise from the increased integration of volatile energy sources, the displacement of stabilizing bulk generation, and the slow expansion of the electric grid. There is a global consensus that these issues can be effectively addressed through information and communication technologies, which facilitate better coordination of grid operations. The concept of “Smart Grid” encompasses efforts to utilize unused reserves and provide system services, like reactive power supply, to maintain voltage levels. Multi-agent systems serve as a fitting framework for modeling the behaviors and interests of diverse market participants, accommodating both cooperative and competitive problem-solving in distribution and transmission systems. This approach necessitates modifications to conventional algorithms, enabling convergence to multiple local optima based on limited system information. It emphasizes that personal benefits can be maximized while adhering to global system requirements, highlighting the ne

The book includes a short description of the conference program of the "Power and Energy Student Summit 2019". The conference, which is orgaized for students in the area of electric power systems, covers topics such as renewable energy, high voltage technology, grid control and network planning, power quality, HVDC and FACTS as well as protection technology. Besides the overview of the conference venue, activites and the time schedule, the book includes all papers presented at the conference

Die Studienarbeit analysiert den Darfur-Konflikt von 2003 bis 2008, der zu 400.000 Todesopfern und 2,2 Millionen Flüchtlingen führte. Sie untersucht das Scheitern der Friedensmission der Afrikanischen Union (AMIS) und beleuchtet die Ursachen des Krieges sowie die Herausforderungen der AU bei der Sicherstellung von Frieden und Sicherheit in Afrika.

Das übergeordnete Ziel des Projektes Intelligentes Multi-Energie-System (SmartMES) besteht darin, mögliche Konzepte für den Ausbau eines Multi-Energie-Systems am Beispiel unterschiedlicher Regionen in Sachsen-Anhalt sowohl aus technischer als auch aus ökonomischer Sicht zu bewerten. Innerhalb des zweiten Statusbandes werden unterschiedliche Anreizsysteme zur Förderung der Sektorenkopplung vorgestellt und anhand von Anwendungsfällen bewertet