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Surrogate models for composed simulation models in energy systems

机译:能源系统中组合模拟模型的替代模型

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New technologies and methodologies for smart grid applications cannot be tested in the real power grid, since it is a safety-critical infrastructure, therefore simulation and co-simulation is utilized. Simulation models itself can rely on quite complex calculations and therefore slow down the simulation. But even less complex models can lead to performance issues when used in large numbers in large-scale setups. The use of surrogate models is one way to improve the performance of simulation systems when the simulation models are slow, but the performance gain diminishes, when the simulation models are already quite fast. This abstract presents a new PhD project, which proposes a method to combine several simulation models into one surrogate model using correlations and other interdependencies of the simulation models. The goal is to further improve the performance gain not only for slower, but also for less complex simulation models, thus enable even larger simulation setups.
机译:智能电网应用的新技术和新方法无法在真实电网中进行测试,因为它是安全性至关重要的基础架构,因此需要进行仿真和协同仿真。仿真模型本身可以依赖非常复杂的计算,因此会降低仿真速度。但是,即使在大型设置中大量使用时,即使复杂程度较低的模型也可能导致性能问题。当模拟模型很慢时,使用替代模型是提高模拟系统性能的一种方法,但是当模拟模型已经相当快时,性能增益会降低。该摘要提出了一个新的PhD项目,该项目提出了一种使用仿真模型的相关性和其他相互依赖性将几种仿真模型组合为一个代理模型的方法。目标是不仅针对较慢的仿真模型,而且针对不太复杂的仿真模型进一步提高性能增益,从而实现更大的仿真设置。

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