Systems and methods for analyzing model parameters of electrical power systems using trajectory sensitivities

At least one non-transitory computer-readable storage media having computer-executable instructions embodied thereon, wherein when executed by at least one processor, the computer-executable instructions cause the processor to:

• generate a trajectory sensitivities matrix for an electrical power system using a dynamic model of the electrical power system that includes a plurality of system parameters;
• identify a plurality of well-conditioned parameters for a first disturbance from the plurality of system parameters based at least in part on the trajectory sensitivities matrix;
• generate a first pair of well-conditioned parameters from the plurality of well-conditioned parameters, the first pair including a first parameter and a second parameter;
• compute a dependence value between the first parameter and the second parameter;
• and
• provide an indicator of dependence between the first parameter and the second parameter using the dependence value.

A computer-based method for analyzing system parameters of a simulation model for an electrical power system using a computing device including at least one processor, said method comprising:

• generating a trajectory sensitivities matrix for the electrical power system using a dynamic model of the electrical power system that includes a plurality of system parameters;
• identifying, by the at least one processor, a plurality of well-conditioned parameters for a first disturbance from the plurality of system parameters based at least in part on the trajectory sensitivities matrix;
• generating, by the at least one processor, a first pair of well-conditioned parameters from the plurality of well-conditioned parameters, the first pair including a first parameter and a second parameter;
• computing, by the at least one processor, a dependence value between the first parameter and the second parameter;
• and
• providing an indicator of dependence between the first parameter and the second parameter using the dependence value.