Applications of artificial intelligence techniques in wind power generation

The paper presents two applications of Artificial Intelligence techniques, namely Artificial Neural Networks (ANNs) and Decision Trees (DTs), in wind power generation. The first concerns the design procedure of a permanent magnet generator for a 20 kW wind turbine prototype. This work has been developed in the frame of a research project funded by the General Secretariat for Research and Te chnology of Greece, concerning the design and construction of a gear-less w ind turbine for both autonomous and interconnected operation with the elect rical grid. The second application concerns the security assessment of networks includi ng wind farms and has been developed in the frame of JOULE-II European Comm unity research programme. The results from the application of "learning fro m examples" methods. namely ANNs and DTs, for the fast dynamic security ass essment of the power system of Lemnos island are presented and comparativel y assessed.