Solutions for the data level's representation in a decision support system in wind power plants

  • Authors:

  • Adela Bâra;Anda Velicanu;Iuliana Botha;Simona Vasilica Oprea

  • Affiliations:

  • Economic Informatics Department, Academy of Economic Studies, Transelectrica National Power Grid Company, Bucharest, Romania;Economic Informatics Department, Academy of Economic Studies, Transelectrica National Power Grid Company, Bucharest, Romania;Economic Informatics Department, Academy of Economic Studies, Transelectrica National Power Grid Company, Bucharest, Romania;Economic Informatics Department, Academy of Economic Studies, Transelectrica National Power Grid Company, Bucharest, Romania

  • Venue:
  • MAMECTIS/NOLASC/CONTROL/WAMUS'11 Proceedings of the 13th WSEAS international conference on mathematical methods, computational techniques and intelligent systems, and 10th WSEAS international conference on non-linear analysis, non-linear systems and chaos, and 7th WSEAS international conference on dynamical systems and control, and 11th WSEAS international conference on Wavelet analysis and multirate systems: recent researches in computational techniques, non-linear systems and control
  • Year:
  • 2011

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Abstract

This paper presents the solutions for the data level's representation in the architecture of a decision support system that can be used in the National Power Grid Companies for integrating and analysing the energy produced in the wind power plants. We considered some informatics technologies, like XML and object-relational databases for storing data and also the spatial data for representing the locations and the coordinates of the wind power plants installed in the country. In the general context it is presented the architecture of the DSS prototype, which can be applied in the uncertain and unpredictable environments, like the production and the prediction of the wind energy.