As global climate change concerns, technological advancements, and economic shifts increase the adoption of electric vehicles, it is vital to study how best to integrate these into our existing energy systems. Electric vehicles (EVs) are on track to quickly become a large factor in the energy grid. If left uncoordinated, the charging of EVs will become a burden on the grid by increasing peak demand and overloading transformers. However, with proper charging control strategies, the problems can be mitigated without the need for expensive capital investments. Distributed control methods are a powerful tool to coordinate the charging, but it will be important to assess the trade-offs between performance, information privacy, and computational speed between different control strategies. This work presents a comprehensive comparison between four distributed control algorithms simulating two case studies constrained by dynamic transformer temperature and current limits. The transformer temperature dynamics are inherently nonlinear and this implementation is contrasted with a piece-wise linear convex relaxation. The more commonly distributed control methods of Dual Decomposition and Alternating Direction Method of Multipliers (ADMM) are compared against a relatively new algorithm, Augmented Lagrangian based Alternating Direction Inexact Newton (ALADIN), as well as against a low-information packetized energy management control scheme (PEM). These algorithms are implemented with a receding horizon in two distinct case studies: a local neighborhood scenario with EVs at each network node and a hub scenario where each node represents a collection of EVs. Finally, these simulation results are compared and analyzed to assess the methods’ performance, privacy, and processing metrics for each case study as no algorithm is found to be optimal for all applications.

Software as a service (SaaS) is a primary working pattern and a significant application model for next generation Internet application. Web GIS services are the new generation of the Software as a service that can provide the hosted spatial data and GIS functionalities to the practical customized applications. This study focused on developing a webGIS based application, Soil Moisture-Based Irrigation Scheduling Tool (SMIST), for predicting soil moisture in the next seven days using the soil moisture diagnostic equation (SMDE) and the upcoming seven precipitation forecasts made by the National Weather Service (NWS), and ultimately producing an accurate irrigation schedule based on the predicted soil moisture. The SMIST is expected to be capable of improving the irrigation efficiency to protect groundwater resources in the Texas High Plains and reducing the cost of energy for pumping groundwater for irrigation, as an essential public concern in this area. The SMIST comprised an integration of web-based programs, a Hydrometeorological model, GIS, and geodatabase. It integrates two main web systems, the soil moisture estimating web application for irrigation scheduling based on the soil moisture diagnostic equation (SMDE), and an agricultural field delineation webGIS application to prepare input data and the model parameters. The SMIST takes advantage of the latest historical and forecasted precipitation data to predict soil moisture in the user-specified agricultural field(s). In this regard, the next seven days soil moisture versus the soil moisture threshold for normal growth would be presented in the result page of the SMIST to help users to adjust irrigation rate and sequence.

Die zunehmende Verfügbarkeit adressbezogener Daten im Zusammenhang mit der Nutzung geometrischer Raster zur Raumuntergliederung haben die Voraussetzungen für kleinräumige Analysen deutlich verbessert. Bei der Verwendung personenbezogener Daten müssen datenschutzrechtliche Vorgaben eingehalten werden, falls die Rasterzellen zu wenig Fallzahlen enthalten. Vielfach werden diese Rasterzellen ausgeblendet, wodurch Informationen in der Karte verloren gehen. Eine datenschutzkonforme Alternative stellt die Aggregation von Rasterzellen dar, bis die Fallzahlen einen vorgegebenen Grenzwert überschreiten. In diesem Beitrag werden Möglichkeiten vorgestellt und bewertet, nach denen sich datenschutzkonforme Mischrasterkarten erzeugen lassen. Besonderes Augenmerk wird auf die Auflösungsverluste der erzeugten Mischrasterkarten gelegt, um geeignete Datengrundlagen für kleinräumige Analysen zu schaffen.

SUMMARY: The aim of the thesis is to define a development and contemporary status of the Central Military Archives as a information system. It describes the entire information cycle of a document from its origin through the deposition at the department of conservation, in the administrative and final archive at last. It shows Central Military Archives and its importance as a significant entity in the field of digitization. Finally the thesis analyses the issues of implementation of the system of electronic record services. [Author's abstract]