A power system model parameter conditioning tool comprising: a data store including one or more records containing phasor measurement unit monitored data, the monitored data representing a response of a power system to multiple disturbance events; a server including a control processor, the server being in communication with the data store; a model calibration unit configured to provide event screening, simulation of a power system model response to the multiple disturbance events, and simultaneous tuning of more than one model parameter (PI-PI6) based on the power system model response; the data store including executable instructions that cause the control processor to: instruct the model calibration unit to perform a simulation using default model parameters; compare results of the simulation to the monitored data; if the comparison indicates the power system model prediction is within a predetermined threshold, then terminate parameter conditioning and wait for updated monitored data from subsequent disturbance events; else perform a parameter identifiability analysis to determine differing effects of various model parameters on power system model accuracy; select a set of parameters from the various model parameters, the set of parameters causing a degradation in power system model prediction performance; and update default model parameters corresponding to members of the set of parameters with values selected to reduce the degradation; and wait for updated monitored data from subsequent disturbance events. a data store including one or more records containing phasor measurement unit monitored data, the monitored data representing a response of a power system to multiple disturbance events; a server including a control processor, the server being in communication with the data store; a model calibration unit configured to provide event screening, simulation of a power system model response to the multiple disturbance events, and simultaneous tuning of more than one model parameter (PI-PI6) based on the power system model response; the data store including executable instructions that cause the control processor to: instruct the model calibration unit to perform a simulation using default model parameters; compare results of the simulation to the monitored data; if the comparison indicates the power system model prediction is within a predetermined threshold, then terminate parameter conditioning and wait for updated monitored data from subsequent disturbance events; else perform a parameter identifiability analysis to determine differing effects of various model parameters on power system model accuracy; select a set of parameters from the various model parameters, the set of parameters causing a degradation in power system model prediction performance; and update default model parameters corresponding to members of the set of parameters with values selected to reduce the degradation; and instruct the model calibration unit to perform a simulation using default model parameters; compare results of the simulation to the monitored data; if the comparison indicates the power system model prediction is within a predetermined threshold, then terminate parameter conditioning and wait for updated monitored data from subsequent disturbance events; else perform a parameter identifiability analysis to determine differing effects of various model parameters on power system model accuracy; select a set of parameters from the various model parameters, the set of parameters causing a degradation in power system model prediction performance; and update default model parameters corresponding to members of the set of parameters with values selected to reduce the degradation; and wait for updated monitored data from subsequent disturbance events.