High Performance Reduced Order Models for Wind Turbines with Full-Scale Converters Applied on Grid Interconnection Studies

Energies

Heverton A. Pereira¹  Allan F. Cupertino³  Remus Teodorescu² 

[1] Department of Electrical Engineering, Federal University of Viçosa, Av. P. H. Rolfs, s/n, Viçosa 36570-900, Brazil;Department of Energy Technology, Aalborg University, Pontoppidanstræde 101, Aalborg 9220, Denmark; E-Mail:;Department of Materials Engineering, Federal Center for Technological Education of Minas Gerais, Av. Amazonas 5253, Belo Horizonte 30421-169, Brazil; E-Mail:

关键词: wind turbine models;    full-scale converters;    reduced order models;    performance index;    time domain simulations;    grid interconnection studies;   

DOI  :  10.3390/en7117694

来源: mdpi

【 摘 要 】

Wind power has achieved technological evolution, and Grid Code (GC) requirements forced wind industry consolidation in the last three decades. However, more studies are necessary to understand how the dynamics inherent in this energy source interact with the power system. Traditional energy production usually contains few high power unit generators; however, Wind Power Plants (WPPs) consist of dozens or hundreds of low-power units. Time domain simulations of WPPs may take too much time if detailed models are considered in such studies. This work discusses reduced order models used in interconnection studies of synchronous machines with full converter technology. The performance of all models is evaluated based on time domain simulations in the Simulink/MATLAB environment. A detailed model is described, and four reduced order models are compared using the performance index, Normalized Integral of Absolute Error (NIAE). Models are analyzed during wind speed variations and balanced voltage dip. During faults, WPPs must be able to supply reactive power to the grid, and this characteristic is analyzed. Using the proposed performance index, it is possible to conclude if a reduced order model is suitable to represent the WPPs dynamics on grid studies.

【 授权许可】

CC BY   
© 2014 by the authors; licensee MDPI, Basel, Switzerland