Auflistung nach Autor:in "Hinrichs, Christian"
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- KonferenzbeitragA Tool for Modeling and Optimization of Residential Electricity Consumption(Environmental Informatics and Industrial Ecology, 2008) Eysholdt, Moritz; Denecke, Ulrich; Belasus, Michael; Bley, Christian; Eilers, Mark; Erlmann, Michael; Hinrichs, Christian; Hurrelmann, Malte; Bremer, Jörg; Rapp, Barbara; Sonnenschein, Michael; Vogel, UteToday's households face a huge variety of electricity consuming devices on the one hand, and increasing electricity prices and increased awareness for environmental sustainability on the other hand. Fluctuating electricity tariffs currently evaluated by electricity suppliers have the potential to make it even more complex for the electricity consumer to keep costs low. We want to help the consumer to manage this complexity and increase her or his awareness for the electricity consumption of the household's devices. Therefore, we have developed a tool which allows modelling and simulating the set of electricity consuming devices, their loads, and electricity tariffs. It is possible to create schedules for the usage of devices, calculate the resulting load curve and automatically optimize the schedule based on fluctuating power tariffs while paying attention to customer definable constraints. Furthermore, the tool allows comparing modeled and metered load curves, which is especially useful to evaluate correctness and completeness of the household's model. To decrease the modeling effort, the tool can access libraries of predefined devices and tariffs via the Internet.
- KonferenzbeitragDynamic Portfolio Optimization for Distributed Energy Resources in Virtual Power Plants(Advances and New Trends in Environmental Informatics - Stability, Continuity, Innovation, 2016) Balduin, Stefan; Brauer, Dierk; Elend, Lars; Holly, Stefanie; Korte, Jan; Krüger, Carsten; Meier, Almuth; Oest, Frauke; Sanders-Sjuts, Immo; Sauer, Torben; Schnieders, Marco; Zilke, Robert; Hinrichs, Christian; Sonnenschein, Michael
- KonferenzbeitrageCarUs - a tool for optimal placement of stations for electric vehicle batteries(Innovations in Sharing Environmental Observations and Information, 2011) Agater, Jérôme; Arjangui, Helge; Gandor, Malin; Mengelkamp, Michael; Schröder, Henning; Siemer, Janina; Strudthoff, Marcel; Wagner, Bernhard; Vogel, Ute; Hinrichs, Christian; Scherfke, StefanThe eCarUs tool implements heuristic optimizations to find the optimal placement for battery stations for electric cars by using a simulation of traffic using real world data. A second optimization phase can calculate the required number of battery slots for each station.
- KonferenzbeitragEvaluation Guidelines for Asynchronous Distributed Heuristics in Smart Grid Applications(Proceedings of the 28th Conference on Environmental Informatics - Informatics for Environmental Protection, Sustainable Development and Risk Management, 2014) Hinrichs, Christian; Sonnenschein, MichaelIn the context of Smart Grid applications, distributed control algorithms show advantageous properties over classical centralized approaches. Regarding their operation in a critical infrastructure, however, it is of utmost importance to validate the correct behavior of such approaches beforehand. In this paper, we give an overview on different aspects of evaluating Smart Grid applications, with a special focus on asynchronous distributed heuristics.
- KonferenzbeitragFrom ecological modeling to decentralized optimization of smart power grids(INFORMATIK 2015, 2015) Sonnenschein, Michael; Vogel, Ute; Hinrichs, Christian
- KonferenzbeitragSelf-Organizing Demand Response with Comfort-Constrained Heat Pumps(EnviroInfo & ICT4S, Conference Proceedings, 2015) Hinrichs, Christian; Sonnenschein, Michael; Gray, Adam; Crawford, CurranThe increasing pervasion of information and communication technology (ICT) in the power grid motivates innovative research towards intelligent system control. Especially against the background of the growing share of renewable generation, novel approaches that mitigate e. g. grid expansion costs are of great interest. In this paper, the self-organized and thus completely distributed control concept COHDA for the online scheduling of responsive loads is employed as an alternative to the traditional centralized control. By distributing the decision making process, no global state information about the participating devices has to be gathered beforehand. The proposed approach is applied to the mitigation of wind power fluctuations on a minute basis by controllable heat pumps. Simulation results indicate that even in the presence of moderate time delays between wind power measurements and the resulting control action from the responsive population (i. e. including the distributed scheduling process), a significant reduction of fluctuations can be achieved.