A Study on the Load Frequency Control of 2-Area Power System using Fuzzy-Neural Network Controller

퍼지-신경망 제어기를 이용한 2지역 계통의 부하주파수제어에 관한연구

  • 정형환 (동앙대 공대 전기공학과) ;
  • 김상효 (동앙대 대학원 전기공학과) ;
  • 주석민 (동아대 정보통신연구원 특별연구원) ;
  • 이정필 (동아대 대학원 전기공학과) ;
  • 이동철 (부경대 공대 전기공학과)
  • Published : 1999.02.01

Abstract

This paper proposes the structure and the algorithm of the Fuzzy-Neural Controller(FNNC) which is able to adapt itself to unknown plant and the change of circumstances at the Fuzzy Logic Controller(FLC) with the Neural Network. This Learning Fuzzy Logic Controller is made up of Fuzzy Logic controller in charge of a main role and Neural Network of an adaptation in variable circumstances. This construct optimal fuzzy controller applied to the 2-area load frequency control of power system, and then it would examine fitness about parameter variation of plant or variation of circumstances. And it proposes the optimal Scale factor method wsint three preformance functions( E, , U) of system dynamics of load frequency control with error back-propagation learning algorithm. Applying the controller to the model of load frequency control, it is shown that the FNNC method has better rapidity for load disturbance, reduces load frequency maximum deviation and tie line power flow deviation and minimizes reaching and settling time compared to the Optimal Fuzzy Logic Controller(OFLC) and the Optimal Control for optimzation of performance index in past control techniques.

Keywords

References

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