New Methodologies for Enhancing Grid Compliance and Stability of Wind Power Plants (Part 1)

Описание: The rapid growth of wind power requires a focus on establishing regulations for connecting wind power plants (WPPs) through grid codes and standards. This adds complexity to grid integration in the form of testing and modeling for wind turbine generator (WTG) manufacturers and WPP developers. This presentation delves into the challenges and solutions in the wind industry related to grid compliance and the integration of large-scale WPPs, with a particular focus on fault-ride through testing and model validation. It begins by examining the current state of the industry and the methods for assessing grid compliance in wind turbines and WPPs, including component and subsystem testing, real-time simulation, and digital twin paradigms. The presentation then focuses on electromagnetic transient (EMT) model validation during design, introducing new methodologies and operational insights, along with lessons learned and recommendations. Expanding on validated EMT models, the work investigates short circuit characteristics and innovative approaches for estimating the short circuit current of Type IV wind turbines, commonly used in protection and equipment design studies. This involves leveraging power flow, machine learning, and collaboration with existing software tools to develop new solutions. Additionally, the presentation addresses the development of new methodologies for application during operation, such as EMT-based machine learning for fault-ride through assessment of operational WTGs and short circuit ratio (SCR) estimation during operation. Finally, it concludes by providing important recommendations for future work in the various areas covered. 

About the presenter:
Gabriel Miguel Gomes Guerreiro received his BSc degree from the Federal University of Itajubá (UNIFEI) in Brazil and MSc degree from the Royal Institute of Technology (KTH) in Sweden and has worked as an R&D Engineer for Hitachi Energy on the topic of power system protection between 2019 and 2021. Currently he is pursuing his Industrial PhD in Siemens Gamesa Renewable Energy and the Technical University of Denmark (DTU) on topics around grid compliance of wind turbines and power plants and integration with Machine Learning. Research interests include AI/ML, Stability Analysis, Wind Turbine and Power Plants response, among others.

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InnoCyPES Summer School 2024: Exploring the Cyber-Physical Evolution of Offshore Wind and Distribution Grids.
The programme focused on innovative and key topics for the future of power systems: IoT-Edge Networks, Cybersecurity, Data Management, Power Quality, and Grid-Forming Inverter-Based Resources and Stability.

The event was hosted at the Università del Salento in Lecce, Italy, from September 9th to 13th, 2024.

Innovative Tools for Cyber-Physical Energy Systems (InnoCyPES) is a doctoral network part of the Marie Skłodowska-Curie Actions programme, funded by the European Union under the Horizon Europe Research and Innovation Programme.

Website: https://innocypes.eu