The Transactions of the Korean Institute of Electrical Engineers A (대한전기학회논문지:전력기술부문A)

The Korean Institute of Electrical Engineers (대한전기학회)
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An Application of Kohonen Neural Networks to Dynamic Security Assessment

전력계통 동태 안전성 평가에 코호넨 신경망 적용 연구

  • 이광호 (단국대 전기공학과) ;
  • 박영문 (서울대 전기공학부 명예) ;
  • 김광원 (울산대 전기전자자동화공학부) ;
  • 박준호 (부산대 전기·전자·통신공학부)
  • Published : 2000.06.01
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Abstract

This paper presents an application of Kohonen neural networks to assess the dynamic security of power systems. The dynamic security assessment(DSA) is an important factor in power system operation, but conventional techniques have not achieved the desired speed and accuracy. The critical clearing time(CCT) is an attribute which provides significant information about the quality of the post-fault system behaviour. The function of Kohonen networks is a mapping of the pre-fault system conditions into the neurons based on the CCTs. The power flow on each line is used as the input data, and an activated output neuron has information of the CCT of each contingency. The trajectory of the activated neurons during load changes can be used in on-line DSA efficiently. The applicability of the proposed method is demonstrated using a 9-bus example.

Keywords

References

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