ADOreD at the 2025 Wind & Solar Integration Workshop

The Wind & Solar Integration Workshop 2025 (WISO) took place from 07–10 October 2025, at the Berlin Marriott Hotel, Germany, with the main aim of having global experts, industry leaders and researchers engage in dialogue about the challenges of renewable energy integration.

More than 430 international experts form industry and academia attended the this years WISO, and speakers from over 30 countries contributed.

This year, doctorial candidates from the ADOreD network attended with the following presentations:

"Enhancing Simulation Fidelity of Offshore Wind Turbines through DLL-Based Black-Box Models" by Nicolae Darii, who commented on his presentation: "Is a DLL-based model truly tool-independent? In practice, it runs best when tuned to the environment it serves. Every tool leaves its fingerprint."

"Multi-stage Convex Polynomial Regression for Small-Signal Stability in Power Systems" by Kriti Agrawal, who elaborates about the research:

"The research introduces an approach to predict small-signal stability in power grids based on its operating conditions using a multi-stage convex polynomial regression technique. Integrated within an Optimal Power Flow (OPF) framework, it enables a stability-constrained OPF that ensures both optimality and stability for autonomous operation of modern power systems."

"Impedance-based Sensitivity Analysis of Wind Turbine Generator" by Germano Rugendo Mugambi.

About his presentation, Germano further explains: "The output impedance of a Wind Turbine Generator (WTG) plays a key role in defining the overall impedance of a wind power plant. Since this impedance is influenced by the WTG’s control parameters, our study analyzed its sensitivity to changes in these parameters using an impedance-based approach. Our results show that different control parameters affect the impedance to varying degrees, with the d-axis current control proportional gain having the most significant impact. Identifying these critical parameters allows us to shape the impedance profile and fine-tune system stability margins more effectively. These insights could encourage OEMs to develop parameter–impedance lookup tables, linking internal control settings to impedance characteristics."