From the series: Power Plant Model Validation (PPMV) with MATLAB and Simulink
Graham Dudgeon, MathWorks
Automated parameter sensitivity is used to assess and rank the influence of system parameters on system response. Reactive-power (PQ) replay and voltage and frequency (VF) replay are used simultaneously for automated parameter sensitivity to gain deeper insights on the effect of parameter changes on system response.
The objective function that is used in both automated parameter sensitivity and automated parameter estimation, compares measured PQVF with simulated PQVF. While magnitude of correlation of a given parameter with the objective function is certainly a factor for selecting a parameter, sensitive parameters may be discounted based on engineering judgement. Once parameters have been selected, automated parameter tuning is performed to provide the best overall fit within selected parameter constraints. Both absolute and relative constraints can be specified in the parameter tuning workflow.
Recorded: 22 May 2017
Part 1: Introduction A three-step process for power plant model validation using MATLAB and Simulink.
Part 2: Summary Learn more on how to apply power plant model validation using online performance monitoring of grid events.
Part 3: Manual Parameter Tuning Gain deeper insight into response discrepancies through both VF replay and PQ replay. Apply engineering judgement to adjust parameter settings.
Part 4: Automated Parameter Sensitivity and Parameter Tuning Complement engineering judgement with automated parameter sensitivity to assess and rank the influence of system parameters on system response.