Electric Power System's Stability Assessment and Online-Provision of Control Actions Using Self-Organizing Maps

  • Authors:
  • Carsten Leder;Christian Rehtanz

  • Affiliations:
  • -;-

  • Venue:
  • IWANN '01 Proceedings of the 6th International Work-Conference on Artificial and Natural Neural Networks: Bio-inspired Applications of Connectionism-Part II
  • Year:
  • 2001

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Abstract

Power utilities are interested in operating their grid closer to technical limits. Moreover competition leads to system states which the operators in control centers are not familiar with. In order to operate the higher stressed power system secure, even in critical situations, an efficient security assessment must provide high-quality state information instead of thousands of single values. Furthermore, the energy management system (EMS) must give proposals for control actions. The Self-Organizing Map (SOM) supports both tasks efficiently. The paper presents a SOM-based solution for fast security assessment and the provision of control actions. The application to a real power system also shows the capability of the tool for expressive visualization.