Power Plant Model Validation (PPMV) with MATLAB and Simulink, Part 2: Summary

From the series: Power Plant Model Validation (PPMV) with MATLAB and Simulink

Graham Dudgeon, MathWorks

For online performance monitoring of grid events, data replay involves exciting the plant model through physical measurements of voltage or current at the grid point-of-connection. It is common to consider voltage (V), frequency (F), active-power (P), and reactive-power (Q) as the four measurements necessary to perform PPMV. Two data replay paradigms are available with these four measurements:

PQ replay and compare simulated VF with measured VF.
VF replay and compare simulated PQ with measured PQ.

To obtain the most insight into system response and establish the most robust parameter estimation workflow, both PQ replay and VF replay can be used simultaneously. Engineering judgement is used to manually tune parameters based on engineering experience, before automated techniques are applied.

Product Focus

Recorded: 22 May 2017

Other Resources

Power Plant Model Verification (PPMV) with MATLAB and Simulink (White Paper)

Series: Power Plant Model Validation (PPMV) with MATLAB and Simulink

1:02

Part 1: Introduction A three-step process for power plant model validation using MATLAB and Simulink.

2:49

Part 2: Summary Learn more on how to apply power plant model validation using online performance monitoring of grid events.

6:07

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.

9:00

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.