Wache, Holger
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Wache, Holger
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- PublikationAn Agent-based Model for Simulating Smart Grid Innovations(IEEE, 2018) Wache, Holger; Schädler, Philippe; Merelli, Emanuela; Mielczarski, Władysław; Wierzbowski, Michał; Olek, Błażej [in: 15th International Conference on the European Energy Market (EEM)]In order to derive indicators for the future grid and market stability, in this paper an agent-based model is intro- duced, to simulate various scenarios. This includes new market designs, market mixes, emerging technological inventions and new regulations. Consumers demand energy based on seasonal variations or changing prices. The suppliers’ production might also depend on seasonal variations, on the local solar irradiation or its flexibility; the ability to react to the market requests. The model introduced in this paper has been used to describe an example scenario of the year 2035, representing a market mix that includes a variety different consumers and suppliers. Eventually it shows, how the model can be applied to model various scenarios and how the resulting grids frequency, the market prices and suppliers profit can be used as indicators for the grid and market stability.04 - Beitrag Sammelband oder Konferenzschrift
- PublikationTechnical Validation of the RLS Smart Grid Approach to increase Power Grid Capacity without Physical Grid Expansion(SciTePress, 05/2019) Christen, Ramón; Layec, Vincent; Wilke, Gwendolin; Wache, Holger; Donnellan, Brian; Klein, Cornel; Helfert, Markus [in: Smartgreens 2019. 8th International Conference on Smart Cities and Green ICT Systems, Heraklion, Crete, Greece, May 3-5, 2019. ProceedingsHeraklion, Crete, Greece,]The electrification of the global energy system and the shift towards distributed power production from sus- tainable sources triggers an increased network capacity demand at times of high production or consumption. Existing energy management solutions can help mitigate resulting high costs of large-scale physical grid rein- forcement, but often interfere in customer processes or restrict free access to the energy market. In a preceding paper, we proposed the RLS regional load shaping approach as a novel business model and load management solution in middle voltage grid to resolve this dilemma: market-based incentives for all stakeholders are pro- vided to allow for flexible loads that are non-critical in customer processes to be allocated to the unused grid capacity traditionally reserved for N-1 security of supply. We provide a validation of the technical aspects of the approach, with an evaluation of the day-ahead load forecasting method for industry customers and a load optimization heuristics. The latter is tested by a simulation run on a scenario of network branch with provoked capacity bottlenecks. The method handles all provoked critical network capacity situations as expected.04B - Beitrag Konferenzschrift
- PublikationEnterprise Architecture for Cloud Computing(IEEE, 2012) Aureli, Laura; Pierfranceschi, Arianna; Wache, Holger [in: IEEE Cloud 2012]In this paper we describe an approach to graphically externalize the cloud potential of a company, considering ist architectural description. For this purpose it is shown how current architectural description can be extended, in terms of knowledge and graphical representation. The goal is to focus on the most important features and aspects to consider during the evaluation of shifting into a cloud environment. Even if each company has different strategies and approaches to its business activities, there are some domains related to the shift in a cloud environment that should be considered in any case. This paper shows how these main areas can be taken into account in order to extend the architectural representation of a company and express its cloud readiness04 - Beitrag Sammelband oder Konferenzschrift
- PublikationShaping aggregated load profiles based on optimized local scheduling of home appliances(Springer, 01.02.2018) Hunziker, Christoph; Schulz, Nicola; Wache, Holger [in: Computer Science - Research and Development]We present a new method to control an aggregated electric load profile by exploiting the flexibilities provided by residential homes. The method is based on a common energy price combined with inclining block rates, broadcasted to all households allowing them to minimize their energy provisioning cost. The distributed home energy management systems receive the price signal and use mixed integer linear programming for optimal scheduling of load, storage, and generation devices. The method provides excellent scalability as well as autonomy for home owners and avoids load synchronization effects. As proof of concept, an optimization algorithm for determining a day-ahead price is applied in two case studies. An excellent conformance between a given reference load profile and the resulting aggregated load profile of all households is demonstrated.01A - Beitrag in wissenschaftlicher Zeitschrift
- PublikationTowards a Timely Root Cause Analysis for Complex Situations in Large Scale Telecommunications Networks(Elsevier, 2015) Schaaf, Marc; Wilke, Gwendolin; Mikkola, Topi; Bunn, Erik; Hela, Ilkka; Wache, Holger; Gatziu Grivas, Stella [in: 19th International Conference on Knowledge Based and Intelligent Information and Engineering Systems]04 - Beitrag Sammelband oder Konferenzschrift
- PublikationClassification of Economic Approaches for Smart Grid(IEEE, 2015) Keller, Corinne; Manser, Daniel; Vogler, Sandro; Wache, Holger [in: 12th International Conference on the European Energy Market, IEEE Computer Society Press]Abstract—Several European countries are increasingly focusing on renewable energy in order to satisfy their demand. A core problem of these sources is their reliability, which means less continuously available energy is accessible. Smart grids are trying to cope with this problem by adding intelligence to the net, which tries to adjust the load according to the current produced amount of electrical energy. Many approaches try to tackle down this problem by technical means. This paper analyses existing economical approaches for smart grid environments and highlights the unique features and important properties of a broad selection of papers. Classification criteria are derived from existing literature. Afterwards, the most prominent papers are used to demonstrate how the classification scheme can be applied.04 - Beitrag Sammelband oder Konferenzschrift
- PublikationCloud Broker: Bringing Intelligence into the Cloud - An Event-Based Approach(05.07.2010) Tripathi, Uttam Kumar; Wache, Holger06 - Präsentation
- PublikationA market-based smart grid approach to increasing power grid capacity without physical grid expansion(Springer, 01.02.2018) Bagemihl, Joachim; Boesner, Frank; Riesinger, Jens; Künzli, Michael; Wilke, Gwendolin; Binder, Gabriela; Wache, Holger; Laager, Daniel; Breit, Jürgen; Wurzinger, Michael; Zapata, Juliana; Ulli-Beer, Silvia; Layec, Vincent; Stadler, Thomas; Stabauer, Franz [in: Computer Science - Research and Development]The continuous increase of competitiveness of renewable energy in combination with the necessity of fossil fuel substitution leads to further electrification of the global energy system and therefore a need for large-scale power grid capacity increase. While physical grid expansion is not feasible for many countries, grid-driven energy management in the Smart Grid often interferes in customer processes and free access to the energy market. The paper solves this dilemma by proposing a market-based load schedule management approach that increases power grid capacity without physical grid expansion. This is achieved by allocating for a certain class of non-critical flexible loads called “conditional loads” the currently unused grid capacity dedicated to ensuring N−1 security of supply whereas this security level remains untouched for all critical processes. The paper discusses the necessary processes and technical and operational requirements to operate such a system.01A - Beitrag in wissenschaftlicher Zeitschrift
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