A5060854561- Microgrid Control and Optimization
- Smart Grid Energy Management
- Optimal Power Flow Distribution
- Islanding Detection in Power Systems
- Photovoltaic System Optimization Techniques
- Photovoltaic Systems and Sustainability
- Embedded Systems Design Techniques
- Formal Methods in Verification
- Advanced Aircraft Design and Technologies
- Real-Time Systems Scheduling
- Thermodynamic and Exergetic Analyses of Power and Cooling Systems
- Advanced Battery Technologies Research
- solar cell performance optimization
- Solar Thermal and Photovoltaic Systems
- Integrated Energy Systems Optimization
- Silicon and Solar Cell Technologies
- IoT Networks and Protocols
- Wind Turbine Control Systems
- Software Testing and Debugging Techniques
- Energy Harvesting in Wireless Networks
- Real-time simulation and control systems
- IoT and Edge/Fog Computing
- Vehicle emissions and performance
- Renewable energy and sustainable power systems
- Air Quality Monitoring and Forecasting
Paderborn University
2017-2025
Institute of Power Engineering
2023
Schneider Electric (France)
1999-2002
The paper addresses the problem of automatizing production test sequences for reactive systems. We particularly focus on two points: (1) generating relevant inputs, with respect to some knowledge about environment in which system is intended run; (2) checking correctness results, according expected behavior system. propose use synchronous observers express both relevance and sequences. In particular, observer used randomly choose inputs satisfying temporal assumptions environment. These may...
The introduction of new solar cell structures as e.g. PERC or HIP-MWT into industrial fabrication increases the production complexity considerably to still widely produced H-pattern Al-BSF cell. But due higher efficiency structures, their increased costs can pay off within following module on system level, area-proportional are used more efficiently. We present a cost calculation model for economic comparison different silicon technologies with respect impact improvement ownership each...
Data-driven approaches like reinforcement learning (RL) allow a model-free, self-adaptive controller design that enables fast and largely automatic development process with minimum human effort. While it was already shown in various power electronic applications the transient control behavior for complex systems can be sufficiently handled by RL, challenge of non-vanishing steady-state errors remains, which arises from usage policy approximations finite training times. This is crucial...
Micro- and smart grids (MSG) play an important role both for integrating renewable energy sources in electricity providing power supply remote areas. Modern MSGs are largely driven by electronic converters due to their high efficiency flexibility. Controlling is a challenging task requirements of availability, safety voltage quality within wide range different MSG topologies resulting demand comprehensive testing new control concepts during development phase. This applies, particular,...
Heid et al., (2020). OMG: A Scalable and Flexible Simulation Testing Environment Toolbox for Intelligent Microgrid Control. Journal of Open Source Software, 5(54), 2435, https://doi.org/10.21105/joss.02435
The lifetime of photovoltaic (PV) modules is usually specified by manufactures to be approx. 25 years. Degradation and, in the end, failure are affected several parameters. Over its lifetime, a PV-module subjected different environmental stresses. Here, thermal cycling due weather variations (e.g. solar irradiance, wind, and ambient temperature) crucial impact factor. This contribution evaluates phase change material (PCM) terms achieving optimized temperature cycles increase PV modules. To...
The main goal of an industrial microgrid during grid-connected operation is maximal cost saving for the owner. Many companies do not only pay amount electrical energy, but also maximum power, which they have drawn from distribution grid within billing period. Under these conditions two basic options exists utilizing local energy storage systems inside microgrid: reduction power peak (peak shaving) and increase self-consumption. For saving, strategy combine both desirable, combination...
Micro- and smart grids (MSG) play an important role both for integrating renewable energy sources in conventional electricity providing power supply remote areas. Modern MSGs are largely driven by electronic converters due to their high efficiency flexibility. Nevertheless, controlling is a challenging task highest requirements on availability, safety voltage quality within wide range of different MSG topologies. This results demand comprehensive testing new control concepts during...
Wallscheid et al., (2023). ElectricGrid.jl - A Julia-based modeling and simulation tool for power electronics-driven electric energy grids. Journal of Open Source Software, 8(89), 5616, https://doi.org/10.21105/joss.05616
Combined heat and power (CHP) units are popular generating plants in modern energy systems, especially the industrial environment. Due to increasing expenses decreasing production cost for CHP units, those became also interesting residential applications. This paper contributes this research field by introducing a holistic system design including control strategy superordinate management. In applications, there no financial sustainable available if peak demand should be provided unit. A...
The term microgrid is used to describe the concept of a local grid consisting energy sources, storage facilities and consumers in various sectors, which operates with or without external connection. This structure creates variety flexibility options operation. overwhelming majority studies literature work abstract simulation models on conceptual level. However, transfer very promising results into real applications industrial products still associated great uncertainties risks. To fill this...