Refine
Year of publication
Document Type
- Conference Proceeding (23)
- Article (12)
- Part of a Book (11)
- Book (1)
Keywords
- MINLP (5)
- Engineering optimization (4)
- Optimization (3)
- Powertrain (3)
- Technical Operations Research (3)
- Energy efficiency (2)
- Experimental validation (2)
- Optimal Topology (2)
- Process engineering (2)
- Pump System (2)
- Smart Building (2)
- Ventilation System (2)
- Water (2)
- Water distribution system (2)
- mathematical optimization (2)
- Anomalieerkennung (1)
- BEV (1)
- BIM (1)
- Booster Stations (1)
- Buffering Capacity (1)
- Building Automation (1)
- CO2 (1)
- Carbon Dioxide (1)
- Case Study (1)
- Case study (1)
- Chance Constraint (1)
- Controller Parameter (1)
- Cooling system (1)
- DiggiTwin (1)
- Digitalisierung (1)
- Discrete Optimisation (1)
- Drinking Water Supply (1)
- Education (1)
- Efficiency (1)
- Efficiency optimization (1)
- Energy (1)
- Energy Disaggregation (1)
- Engineering Application (1)
- Engineering optimisation (1)
- Gearbox (1)
- Global optimization (1)
- Graph Theory (1)
- Home Assistant (1)
- Home Automation Platform (1)
- Industrial optimisation (1)
- IoT (1)
- Latin Hypercube Sampling (1)
- Level Control System (1)
- MILP (1)
- Machine Learning (1)
- Machine learning (1)
- Mixed Integer Programming (1)
- Mixed-Integer Nonlinear Optimisation (1)
- Mixed-integer nonlinear black-box optimization (1)
- Mixed-integer nonlinear problem (1)
- Mixed-integer nonlinear programming (1)
- Mixed-integer programming (1)
- Multi-criteria optimization (1)
- Network (1)
- Network design (1)
- OR 2019 (1)
- Open Source (1)
- Optimal Closed Loop (1)
- Paper recycling (1)
- Piecewise Linearization (1)
- Piecewise linearization (1)
- Product family optimization (1)
- Pumping systems (1)
- Resilience (1)
- Resilience Assessment (1)
- Resilience assessment (1)
- Resilience metric graph theory (1)
- Resilient infrastructure (1)
- Similarity Theory (1)
- Solver Per- formance (1)
- Stochastic Programming (1)
- System Design (1)
- System Design Problem (1)
- TGA (1)
- Technical Operation Research (1)
- Uncertainty (1)
- Validation (1)
- WLTP (1)
- Water Distribution (1)
- Water Supply Networks (1)
- Water Supply System (1)
- Water supply system (1)
- anticipation strategy (1)
- availability (1)
- business analytics (1)
- decision analytics (1)
- design of technical systems (1)
- digital economy (1)
- energy efficiency (1)
- energy transfer (1)
- fault detection (1)
- genetic algorithm (1)
- global optimization (1)
- heating system (1)
- legal obligations (1)
- mixed-integer linear programming (1)
- optimization (1)
- product liability (1)
- programming (1)
- remote sensing (1)
- resilience (1)
- slum classification (1)
- stochastic optimization (1)
- sustainability (1)
- system optimization (1)
- system synthesis (1)
- technical operations research (1)
- water supply design (1)
- water supply system (1)
- Überwachung & Optimierung (1)
Institute
- Fachbereich Elektrotechnik und Informationstechnik (47) (remove)
Due to the decarbonization of the energy sector, the electric distribution grids are undergoing a major transformation, which is expected to increase the load on the operating resources due to new electrical loads and distributed energy resources. Therefore, grid operators need to gradually move to active grid management in order to ensure safe and reliable grid operation. However, this requires knowledge of key grid variables, such as node voltages, which is why the mass integration of measurement technology (smart meters) is necessary. Another problem is the fact that a large part of the topology of the distribution grids is not sufficiently digitized and models are partly faulty, which means that active grid operation management today has to be carried out largely blindly. It is therefore part of current research to develop methods for determining unknown grid topologies based on measurement data. In this paper, different clustering algorithms are presented and their performance of topology detection of low voltage grids is compared. Furthermore, the influence of measurement uncertainties is investigated in the form of a sensitivity analysis.