Dynamic Modeling of Wind Farm Systems

Dynamic modelling of wind farm systems encompasses the representation of electrical, mechanical and control interactions within individual turbines, collection networks and their interface with the wider power grid. Detailed models capture turbine aerodynamics, generator electromagnetic behaviour, converter control loops and cable impedances, enabling analysis of oscillatory modes, stability margins and transient responses. However, the sheer scale of modern offshore and onshore wind farms—often comprising hundreds of turbines—renders full‐scale simulation computationally prohibitive. To address this, aggregated or equivalent models are derived by clustering turbines with similar dynamic characteristics and consolidating electrical collection systems, preserving critical modes while reducing complexity. Such approaches support real‐time stability assessment, low voltage ride through studies and the design of robust control strategies. Recent advances have introduced machine learning and optimisation‐based clustering, enhanced parameter identification via measurement data and novel metrics for preserving key dynamic features. The outcome is an evolving toolkit that strikes a balance between accuracy and efficiency, underpinning global efforts to integrate large‐scale wind power reliably into regional grids and to facilitate secure operation under varying wind and fault conditions.

Research from Nature Portfolio

No recent Nature Portfolio content available.

Dynamic Modeling of Wind Farm Systems publication trend

The graph below shows the total number of articles in dynamic modeling of wind farm systems across all publications each year (not limited to Nature Index journals).

Technical terms

Doubly Fed Induction Generator (DFIG): A wind turbine generator with partially rated converters allowing variable speed operation and bidirectional power flow between rotor and grid.

Equivalent Model: A reduced‐order representation of multiple wind turbines and network elements that retains essential dynamic characteristics for efficient simulation.

Low Voltage Ride Through (LVRT): The capability of a wind farm to remain connected and support grid voltage during short-duration voltage dips or faults.

Clustering Algorithm: A mathematical procedure for grouping turbines exhibiting similar dynamic behaviour to facilitate parameter aggregation in equivalent modelling.

References

1. Electrical Oscillations in Wind Farm Systems: Analysis and Insight Based on Detailed Modeling. IEEE Transactions on Sustainable Energy (2015).
2. The Adequacy of the Present Practice in Dynamic Aggregated Modeling of Wind Farm Systems. IEEE Transactions on Sustainable Energy (2016).
3. Multi‐machine equivalent model parameter identification method for double‐fed induction generator (DFIG)‐based wind power plant based on measurement data. The Journal of Engineering (2017).
4. Equivalent Modeling of LVRT Characteristics for Centralized DFIG Wind Farms Based on PSO and DBSCAN. Energies (2023).
5. Dynamic Equivalent Modeling for Wind Farms With DFIGs Using the Artificial Bee Colony With K-Means Algorithm. IEEE Access (2020).
6. A Study of Dynamic Equivalence Using the Similarity Degree of the Equivalent Power Angle in Doubly Fed Induction Generator Wind Farms. IEEE Access (2020).