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Modeling False Data Injection Attacks on Integrated Electricity-Gas Systems
Next, we develop FDIAs on IEGSs when intruders have only local network topology and parameter information of an IEGS.
A Comparative Study of Polynomial Chaos Expansion-Based Methods for Global Sensitivity Analysis in Power System Uncertainty Control
In contrast, the PCE model built using correlated random inputs directly yields the most accurate ANCOVA indices for global sensitivity analysis.
A Data-Driven Uncertainty Quantification Method for Stochastic Economic Dispatch
This letter proposes a data-driven sparse polynomial chaos expansion-based surrogate model for the stochastic economic dispatch problem considering uncertainty from wind power.
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