Patent ID: 11914937
Assignee: VIRGINIA TECH INTELLECTUAL PROPERTIES, INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G  Y | IPC G

Claim 10:
11. A system for generating model of a power system exhibiting a stochastic behavior, comprising:
a plurality of sensors configured to collect a set of measurements of the power system, the set of measurements following a non-standard probability distribution and being non-linearly correlated, and wherein a non-linear relationship exists between a set of system variables that describes the stochastic behavior and a corresponding set of measurements;
a processor coupled to the plurality of sensors; and
a memory including processor executable code, execution of which by the processor causes the system to:
determine, based on the set of measurements, a numerical model of the stochastic behavior, wherein the numerical model comprises a feature space comprising non-correlated features corresponding to the stochastic behavior, wherein the non-correlated features have a dimensionality of M and the set of measurements has a dimensionality of N, wherein M and N are integers, M being smaller than N;
sample the numerical model based on a statistical inference approach to generate a set of approximated system variables according to the set of measurements based on the numerical model, wherein the statistical inference approach comprises combining a Langevin Markov Chain Monte Carlo (MCMC) approach and an adaptive MCMC that calibrates a covariance of a distribution function based on a history of a Markov Chain; and
apply the set of approximated system variables to the power system for controlling actions.