Search for dissertations about: "power distribution control"
Showing result 1 - 5 of 169 swedish dissertations containing the words power distribution control.
-
1. Modeling, Control and Protection of Low-Voltage DC Microgrids
Abstract : Current trends in electric power consumption indicate an increasing use of dc in end-user equipment, such as computers and other electronic appliances used in households and offices. With a dc power system, ac/dc conversion within these loads can be avoided, and losses reduced. READ MORE
-
2. Optimal and Resilient Control with Applications in Smart Distribution Grids
Abstract : The electric power industry and society are facing the challenges and opportunities of transforming the present power grid into a smart grid. To meetthese challenges, new types of control systems are connected over IT infrastructures. READ MORE
-
3. Power System Oscillations - Detection, Estimation and Control
Abstract : The topic of this thesis is the electro-mechanical oscillations which to some extent always are present in a power system. The demand of electric power is ever increasing. At the same time, the tolerance of disruptions in the power supply is decreasing. READ MORE
-
4. Coordinated Voltage Control in Electric Power Systems
Abstract : This thesis deals with various aspects of coordinated voltage control in electric power systems. It consists of an introduction and six papers. The introduction contains a summary of the thesis and tutorials on voltage control and the search methods that have been applied. READ MORE
-
5. Extremum Seeking Control : Stability, Accuracy, and Applications
Abstract : In many applications, there is a variable that indicates the overall performance and that must be maximized, such as the output of a hydro power turbine or a mineral processing plant, or that must be minimized, such as CO2 emissions or the consumption of resources. Extremization of this variable (maximization or minimization) through adjusting the influencing manipulated variables is occasionally required without prior knowledge of the optimal values of the manipulated variables or of the optimized variable. READ MORE
