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PowerFactory Wind Turbine Modeling with DSL & Python
Build wind turbine dynamic models, DSL controls, RMS simulations, and Python automation in PowerFactory.
Created byPower To Human
Last updated 8/2026
English
What you'll learn
- Build a converter-based wind turbine model from scratch in DIgSILENT PowerFactory.
- Create and connect DSL dynamic models, composite frames, controllers, and network elements.
- Model PQ control, current control, PLL, LVRT logic, and active power reduction functions.
- Run RMS dynamic simulations and analyze wind turbine response during grid disturbances.
- Automate PowerFactory studies with Python for multiple events, cases, and parameter changes.
- Export and compare simulation results such as voltage, current, active power, reactive power, id, and iq.
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Course content
5 sections • 20 lectures • 11h 4m total length
Requirements
- Basic understanding of electrical power systems is helpful, especially generators, transformers, voltage, current, active power and reactive power.
- Some familiarity with DIgSILENT PowerFactory is useful, but the course starts from the basic workflow and builds the model step by step.
- No advanced programming experience is required; the Python automation part is explained gradually and practically.
- Access to DIgSILENT PowerFactory is recommended so learners can follow the modeling, DSL, RMS simulation and Python examples.
- A basic understanding of wind turbines, converters, and control systems is helpful, but the key concepts are explained during the course.
Description
This course, created by Power 2 Human, teaches you how to build, understand, simulate, and automate a converter-based wind turbine model in DIgSILENT PowerFactory from the ground up.
The course is designed for electrical engineers, power system engineers, renewable energy engineers, students, and PowerFactory users who want to move beyond basic load flow studies and learn how wind turbine dynamic models are actually structured. We start from the fundamental architecture of a wind turbine model and gradually build the key parts step by step, including the network element, composite model, DSL common models, measurement blocks, PLL, PQ controller, current controller, LVRT logic, active power reduction, and converter interface.
You will learn how active and reactive power commands are converted into d-axis and q-axis current references, how measured currents are transformed into the dq frame, how PI controllers regulate the current, and how the final control signals are sent toward the converter and generator system. The goal is not only to click through PowerFactory, but to understand what each control block does and why it is needed.
The course also includes a practical Python automation section, where you will learn how to run PowerFactory studies more efficiently. You will automate RMS simulations, change parameters, apply events, export results, and compare different cases using Python.
By the end of the course, you will have a strong practical understanding of wind turbine dynamic modeling, DSL control logic, RMS simulations, and automation workflows used in real engineering studies.
Who this course is for:
- Electrical engineers, power system engineers, and renewable energy engineers who want to build wind turbine dynamic models in DIgSILENT PowerFactory.
- Students and graduates who want to understand wind turbine converter controls, DSL models, RMS simulations, and grid disturbance studies.
- PowerFactory users who want to move beyond basic load flow studies and learn dynamic modeling, composite models, and control block implementation.
- Engineers who want to automate wind turbine simulation cases using Python for faster testing, comparison, and result analysis.