Applications of artificial intelligence techniques in wind power generation

Article type: Research Article

Authors: Papathanassiou, S.A. | Kladas, A.G. | Tegopoulos, J.A.^{; *}

Affiliations: Laboratory of Electrical Machines, Electric Power Division, Department of Electrical and Computer Engineering, National Technical University of Athens, 9, Iroon Polytechneiou street, 15780 Athens, Greece. Tel.: +301 7723766; Fax: +301 7723968; E-mail: tegopoul@power.ece.ntua.gr

Correspondence: [*] Corresponding author.

Abstract: 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 Technology of Greece, concerning the design and construction of a gear-less wind turbine for both autonomous and interconnected operation with the electrical grid. The second application concerns the security assessment of networks including wind farms and has been developed in the frame of JOULE-II European Community research programme. The results from the application of “learning from examples” methods, namely ANNs and DTs, for the fast dynamic security assessment of the power system of Lemnos island are presented and comparatively assessed.

DOI: 10.3233/ICA-2001-8305

Journal: Integrated Computer-Aided Engineering, vol. 8, no. 3, pp. 231-242, 2001