Submission 252
A Model‐Validation Workflow: Case Study on IEC 61400-27 Type 4
WISO25-252
Presented by: Sid Ahmed Attia
Sid Ahmed AttiaNils Hornik
The MathWorks GmbH, Germany
This paper proposes a realistic, repeatable workflow for validating and tuning Type-4 wind turbine models using the IEC 61400-27 standards as a foundation. Beginning with a nominal model built from manufacturer datasheets, the workflow first applies a suite of standardized test cases (derived from IEC 61400-27-2) to identify any gross mismatches or unstable dynamics in the turbine’s electrical and mechanical submodels. Typical tests include low-voltage ride-through sequences, frequency variation profiles, and reactive-power steps; their outcomes reveal whether default parameters produce torque oscillations, excessive DC-link swings, or implausible power ramps. Any out-of-range behaviour serves as an early indicator that the initial model requires adjustment before integrating experimental data.

Once the base model passes these sanity checks, recorded field measurements, voltage, current, rotor speed, and active/reactive power trajectories from an operational Type-4 installation, are imported. A parameter-selection routine identifies the most sensitive tuning variables: for instance, drivetrain stiffness and damping coefficients, pitch-system time constants and PI gains, and converter control gains in the generator and PLL loops. By comparing simulated outputs against measured responses under the same disturbance scenarios, the workflow calculates error metrics (e.g., root-mean-square error, peak deviation) that serve as objective functions.

Next, an optimization engine iteratively adjusts the selected parameters to minimize discrepancies between simulation and field data, subject to acceptance criteria defined by IEC 61400-27-2 (e.g., active-power overshoot limits, DC-link voltage bounds, settling-time requirements). Convergence is signalled when all test results lie within prescribed tolerances; otherwise, the optimizer refines its search or flags potential modelling deficiencies. Finally, the tuned model undergoes a second pass through the validation suite to confirm compliance.

As an application example, we demonstrate this workflow on a Type 4 turbine, showing how drivetrain inertias, pitch-actuator dynamics, and converter control loops are systematically adjusted. The unified process, from nominal build to standardized testing, data assimilation, parameter optimization, and re-validation, significantly reduces manual trial-and-error and provides a traceable, repeatable path toward a field-validated IEC 61400-27 model.