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The increasing amount of data recorded during power system operations and recently developed data-driven methods make online sensitivity identification (SI) a possibility. However, due to the inherent properties of power systems—nonlinearity, time variance, and collinearity—the effective data that carry the sensitivity information are insufficient. Consequently, the online SI information collected...
Statistical machine learning methods based on operational data are believed to have high potentials to solve the mismatch problems in power system models, vis-à-vis the real time operational conditions. As a fundamental tool in the field of situational awareness, the instantaneous sensitivity identification (ISI) using data driven methods also raises with high expectations, but in reality, it suffers...
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