From the series: Performing Power System Studies
Graham Dudgeon, MathWorks
A common challenge with performing power system studies is that the amount of data generated can be larger than available system memory. It may be that one file is larger than available memory, or that you have a large number of files generated through Monte-Carlo simulation and the aggregated files are larger than available memory. In these situations, you can use memory mapping to point to the files and enable extraction of the portions of data of interest. In this presentation we look at the techniques available with MATLAB® and Simulink® tools for accessing, managing, and analyzing large amounts of simulation data.
Introduction to Performing Power System Studies Consider the broader workflow in your power systems studies, which often require the capabilities of a computational ecosystem rather than a single model.
Part 2: Building Network Models Automatically Read data from external sources, automate the creation of power system network models, configure models to allow playback of measured data, run Monte-Carlo studies, and vary model fidelity using MATLAB and Simulink .
Part 3: Running Multiple Scenarios Using Multiple Cores Simulate multiple scenarios across many cores, and decrease the time it takes to perform Monte-Carlo studies using MATLAB and Simulink .
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