A Gaussian Process surrogate for the stability exponent of generator dynamics is integrated into AC Optimal Power Flow to produce both cost-optimal and dynamically stable operating points.
Analytic input convex neural networks-based model predictive control for power system transient stability enhancement
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Stability-Constrained AC Optimal Power Flow--A Gaussian Process-Based Approach
A Gaussian Process surrogate for the stability exponent of generator dynamics is integrated into AC Optimal Power Flow to produce both cost-optimal and dynamically stable operating points.