Dietrich, Felix (University of Applied Sciences (HTW) Berlin, Faculty 1: School o), Jobb, Lukas (MOWEA - Modulare Windenergieanlagen GmbH), Schulte, Horst (HTW-Berlin, University of Applied Sciences)

Demanded Power Point Tracking for Urban Wind Turbines

Scheduled for presentation during the Regular Session "Advanced Control " (FrA1), Friday, November 18, 2022, 09:40−10:00, MAIN ROOM - E406

16th European Workshop on Advanced Control and Diagnosis, November 16-18, 2022, Nancy, France

This information is tentative and subject to change. Compiled on April 19, 2024

Abstract

In addition to increasing the rated power of wind turbines in the multiple megawatt range, research is advancing into suitable small compact wind turbines for urban areas. In particular, the requirements for their flexible automated commissioning and plug-and-play solutions are growing. Up to now, small wind turbines have been operated in such a way that these provide the maximum achievable power from the wind. In the future, however, it will be essential to integrate them into a power system as a flexibly controllable current or voltage source. A demanded power point tracking algorithm based on a model-free extremum-seeking control scheme is proposed to get closer to this aim. As a logical extension of the well-known maximum power point algorithm, the method is presented in detail, applied to a real wind turbine of a manufacturer, and validated in simulation studies for direct application in the field.