KIEE International Transactions on Power Engineering

The Korean Institute of Electrical Engineers (대한전기학회)
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Application of ANN to Load Modeling in Power System Analysis

  • Jaeyoon Lim (Dept. Electrical Engineering, Daeduk College) ;
  • Lee, Jongpil (Dept. Electrical Engineering, Daeduk College) ;
  • Pyeongshik Ji (Dept. Electrical Engineering, Chungju National University) ;
  • A. Ozdemir (Dept. Electrical Engineering, Istanbul Technical University) ;
  • C. Singh (Dept. Electrical Engineering, Texas A&M University, U.S.A.)
  • Published : 2002.04.01
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Abstract

Load models are very important for improving the accuracy of stability analysis and load flow studies. Various loads are connected to a power bus and their characteristics of power consumption change with voltage and frequency. Thus, the effect of voltage/frequency changes must be considered in load modeling. In this work, artificial neural networks-ANNs- were used to construct the component load models for more accurate modeling. A typical residential load was selected and subjected to a test under variable voltage/frequency conditions. Acquired data were used to construct component models by ANNs. The aggregation process of separately determined load models is also presented in the paper. Furthermore, this paper proposes a method to transform a single load model constructed by the aggregation method into a mathematical load model that can be used in traditional power system analysis software.

Keywords

References

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