From the series: Power Plant Model Validation (PPMV) with MATLAB and Simulink
Graham Dudgeon, MathWorks
You can work interactively within the MATLAB® and Simulink® environments to manually adjust parameters based on engineering judgement and insights gained from the analysis of the simulated responses from active-power and reactive-power (PQ) replay and voltage and frequency (VF) replay. By combining both replay paradigms, you can get deeper insights on the effect of parameter changes on system response. In the gas plant example, observations are made based on simulated frequency response and reactive-power response which suggest which key parameters are candidates for modification. Once manual adjustments have been made, the parameters may be submitted to automated parameter estimation.
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.