Two-Stage Simulation for Technical System Configuration
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Solution Overview
Problem
Complex technical systems, such as power grids, face challenges in accurately configuring parameters like voltage under varying operating conditions due to the computational complexity of Monte Carlo simulations, which often require numerous runs and are either too complex or insufficiently accurate.
Innovation Solution
A method involving two simulators, where a simplified first simulator generates a large number of value variants, and a more complex second simulator refines estimates for selected variants, with a compensation curve to determine a precise quantile value with reduced computational effort.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a Monte Carlo simulation with numerous simulation runs is performed to determine accurate quantile values for technical parameters, then the precision of the configuration is improved, but the computational time and complexity increase significantly
Solution Approach 1:
The patent segments the simulation process into multiple stages: first generating a large number of value variants with a simplified first simulator, then selecting only a subset of these variants for detailed simulation with a more accurate second simulator. This segmentation allows the system to achieve accurate quantile determination while significantly reducing the computational burden by avoiding full-detailed simulation of all variants.
Solution Approach 2:
The patent performs preliminary filtering and selection of value variants before conducting the computationally intensive detailed simulations. By using the first simulator to pre-process and rank value variants, the system identifies and selects only those variants most likely to contribute to the final quantile calculation, thereby performing the expensive detailed simulations only when necessary.
2Productivity
If a simplified simulation model is used to reduce computational effort, then the productivity is improved, but the accuracy of the quantile determination deteriorates
Solution Approach 1:
The patent employs two distinct simulation models segmented by function: a first simplified simulator for rapid generation and ranking of value variants, and a second more accurate simulator for detailed analysis of selected variants. This functional segmentation allows each simulator to operate at its optimal efficiency level.
Solution Approach 2:
The patent introduces an intermediary selection and compensation mechanism between the two simulators. The first simulator's results are used to select variants for the second simulator, and a compensation step adjusts the combined results to account for the differences between the two simulation models, thereby achieving accurate quantile determination with reduced computational effort.
3Reliability
If numerous detailed simulations are performed to ensure accurate configuration parameters, then the reliability of the configuration is improved, but the device complexity and computational resources required increase
Solution Approach 1:
The patent segments the simulation system into two distinct components with different levels of complexity, each serving a specific purpose in the overall configuration process. This segmentation allows the system to achieve reliable configuration results without requiring a single overly complex simulation model to be applied to all cases.
Solution Approach 2:
The patent applies detailed, high-accuracy simulation only partially - specifically to a selected subset of value variants rather than to all variants. This partial application of excessive detail (the more complex second simulator) is sufficient to ensure configuration reliability while avoiding the unnecessary computational overhead of applying it universally.
Data Source
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AI summary
According to the invention, a proportion value (q) specifying the availability of a provision parameter (U) of a technical system (SN) is read in. For an operating parameter (PG, PW, PL) of the technical system, a plurality of value variants (PI) are generated, for each of which a first estimate (U1) for the provision parameter (U) is determined by a first simulator (SIM1) of the technical system and assigned to the respective value variant (PI). Furthermore, the value variants (PI) are sorted according to the respective assigned first estimates (U1), and a quantile (QP) of the sorted value variants (PSK) corresponding to the proportion value (q) is determined. In addition, several value variants (PS50,...,PS150) located within an environment (IVL) of the quantile (QP) with respect to the sorting are selected. For each selected value variant (PS50,...In the PS150, a second simulator (SIM2) of the technical system determines a second estimated value (U2) for the provisioning parameter (U). According to the invention, a third estimated value (UQ) for the provisioning parameter (U) is determined by compensating for fluctuations in the second estimated values (U2) and is output as a configuration parameter for configuring the technical system (SN).