http://dl.gi.de/handle/20.500.12116/16408 2026-07-23T22:32:25Z 2026-07-23T22:32:25Z Müller, Jan http://dl.gi.de/handle/20.500.12116/16412 2018-04-16T13:26:12Z 2017-01-01T00:00:00Z

Evolutionary optimization under uncertainty in energy management systems Müller, Jan To support the utilization of renewable energies, an optimized operation of energy systems is important. In recent years, many different optimization methods have been used in this field, including exact solvers and metaheuristics. Quite often, evolutionary algorithms yield good optimization results and allow for a flexible formulation of the optimization problem. Nevertheless, most approaches do not respect the dynamic nature of energy systems with time-dependent properties and stochastic variations. In this work, typical uncertainties are categorized and appropriate measures that help handling uncertainties in energy systems are presented and evaluated using an implementation of a building energy management system that may be used in simulation and practical application.

2017-01-01T00:00:00Z Schito, Joram http://dl.gi.de/handle/20.500.12116/16413 2018-04-16T13:26:12Z 2017-01-01T00:00:00Z

Modeling and optimizing transmission lines with GIS and Multi-Criteria Decision Analysis Schito, Joram In planning transmission lines with the use of Geographic Information Systems, the use of the Least Cost Path (LCP) algorithm has been established while relevant criteria are modeled using Multi-Criteria Decision Analysis (MCDA). Despite their established use, this combination (MCDA/LCP) often leads to results that do not correspond to realistic conditions. Therefore, the MCDA/LCP computation must usually be optimized on an algorithmic level as well as on the decision model and the underlying data relevant for the MCDA. The current paper presents the state-of-the-art of an ongoing research project that aims to solve these issues. First results are promising since a stable algorithm has been developed that computes a cost surface, a Least Cost Corridor (LCC), a LCP, and the transmission towers' positions by simple additive weighting based on user's weights. Optimizations on the MCDA models have already been implemented and tested. The findings are integrated into a 3D Decision Support System which aims at facilitating the work of TL planners by realistic modeling and by reducing the approval process for new TL.

2017-01-01T00:00:00Z Steber, David http://dl.gi.de/handle/20.500.12116/16414 2018-04-16T13:26:12Z 2017-01-01T00:00:00Z

Integration of battery storage into the German electrical power system Steber, David The further integration of storage into the electric power system is unavoidable regarding the still increasing share of renewables and current market developments. Therefore a lot of different storage technologies are available today. The presented PhD-Thesis project will focus on integrating battery storage to the power system under different system and market conditions. Therefore, coupled control algorithms for single and virtual battery storage systems have to be developed depending on the battery's scope. For analyzing the reliability of different battery's scopes, the developed models will be integrated into an electric power system model for studying their influence on the power system and market concerning different development scenarios (renewables, nuclear phase-out). First actions dealt with the provision of Frequency Containment Reserve (FCR) power by a virtual battery storage under certain conditions in Germany. First results show appropriate working of implemented control algorithms and reliability for different shareholders.

2017-01-01T00:00:00Z Knirsch, Fabian http://dl.gi.de/handle/20.500.12116/16411 2018-04-16T13:26:12Z 2017-01-01T00:00:00Z

Privacy enhancing technologies in the smart grid user domain Knirsch, Fabian In modern energy grids, also termed smart grids, energy and information from different stakeholders are exchanged, processed and analyzed. An increasing number of data from customers is collected and transmitted for billing, scheduling and monitoring. In order to protect customer privacy, (i) the privacy gap of existing and proposed use cases needs to be assessed; and (ii) new methods and protocols need to be developed that allow a privacy-preserving and provably secure processing of data and information. This paper evaluates existing solutions and proposes novel approaches to privacy enhancing technologies in the smart grid user domain.

2017-01-01T00:00:00Z