Journal of the Korean Institute of Illuminating and Electrical Installation Engineers (조명전기설비학회논문지)

The Korean Institute of IIIuminating and Electrical Installation Engineers (한국조명전기설비학회)
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GA based Selection Method of Weighting Matrices in LQ Controller for SVC

GA를 이용한 SVC용 LQ 제어기의 가중행렬 선정 기법

  • 허동렬 (동아대 정보기술연구소) ;
  • 이정필 (동아대 정보기술연구소) ;
  • 주석민 (창원대 메카트로닉스 공학부) ;
  • 정형환 (동아대 공대 전기전자컴퓨터공학부)
  • Published : 2002.11.01
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Abstract

In this paper, we present a GA(Genetic Algorithm) approach to select weighting matrices of an optimal LQ(Linear Quadratic) controller for SVC(Static VAR Compensator). A SVC, one of the FACTS(Flexible AC Transmission System), constructed by a FC(Fixed Capacitor) and a TCR(Thyristor Controlled Reactor), was designed and implemented to improve the damping of a synchronous generator, as well as to control the system voltage Also, a design of LQ controller depends on choosing weighting matrices. The selection of weighting matrices which is not a trivial solution is usually carried out by trial and error. We proposed an efficient method using GA of finding weighting matrices for optimal control law. Thus, we proved the usefulness of proposed method to improve the stability of single machine-infinite bus with SVC system by eigenvalues analysis and simulation.

본 논문에서는 정지형 무효전력 보상기에 대한 최적 LQ 제어기의 가중행렬 선정과정을 유전알고리즘을 이용하여 최적의 가중행렬을 결정하는 기법을 제시하였다. FACTS로 분류되는 여러 기기중 고정된 용량의 커패시터와 싸이리스터 제어에 의하여 용량이 가변되는 인덕터가 병렬로 연결된 구조를 가지고 있는 SVC 시스템은 전압을 효과적으로 제어할 뿐만 아니라 동기발전기의 댐핑을 향상시킬수 있다. LQ제어기의 설계는 최적 가중행렬 선정에 의존하므로 본 논문에서는 종래의 일반적인 방법과는 달리, 자연 생태계의 진화를 모의한 전역적 탐색 최적화 기법인 유전 알고리즘을 이용하여 설계하였다. 이에 대해 고유치 해석과 시뮬레이션을 통해 제어성능을 검토하여 우수한 제어 성능을 가지는 제어기를 최적화 기법인 GA에 의해서 설계할 수 있음을 확인하였다

Keywords

References

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