Flexible DC transmission systems experience negative damping characteristics in the high-frequency range due to delay system control link. This can lead interactions between impedance of modular multilevel converters (MMCs) and AC lines, resulting oscillation (HFO) issues. To resolve this problem, a simplified MMC model was developed, taking into account current inner loop The Sobol method empl...

This paper investigates the applied uncertainty and sensitivity analysis to resistors used in voltage series operational amplifier circuit. Two bands are considered which gold band (5% uncertainty) silver (10% uncertainty). To generate sample points, SIMLAB tool is used. A total of points based on Sobol’ technique has been created for each resistor band. The modelled MATLAB/Simulink. MATLAB scr...

The risks associated with wind power forecast (WF) deviations are of paramount importance to many system participants (PSPs). However, traditional sampling approaches computationally prohibitive model these deviations. Additionally, setting a risk level for satisfying different PSPs receives little attention. This paper constructs risk-adjustable stochastic day-ahead scheduling (RSDS) balance t...

Global sensitivity analysis provides insight into how sources of uncertainty contribute to in predictions computational models. indices, also called variance-based indices and Sobol are most often computed with Monte Carlo methods. However, when the model is computationally expensive only a small number samples can be generated, that is, so-called small-data settings, usual estimates may lack s...

A global sensitivity analysis of a lake ecosystem model (GOTM-FABM-PCLake) was undertaken to test the impacts morphology on parameter in three different lakes. The facilitated by Parallel Sensitivity and Auto-Calibration tool (parsac) included screening step with density-based Borgonovo's method followed in-depth both variance-based Sobol’ methods. proved efficient ranking most influential para...

The R package sensobol provides several functions to conduct variance-based uncertainty and sensitivity analysis, from the estimation of indices visual representation results. It implements state-of-the-art first total-order estimators allows computation up fourth-order effects, as well approximation error, in a swift user-friendly way. Its flexibility makes it also appropriate for models with ...