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

The Korean Institute of Electrical Engineers (대한전기학회)
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A Study on the LQG Control of TCSC Using Neural Network

신경회로망를 이용한 TCSC 적용 LQG 제어에 관한 연구

  • Kim, Tae-Jun (Dept.of Electric Engineering, University of Incheon) ;
  • Lee, Byeong-Ha (Dept.of Electric Engineering, University of Incheon)
  • Published : 1999.03.01
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Abstract

In this paper we present a neural network approach to select weighting matrices of Linear-Quadratic-Gaussian(LQG) controller for TCSC control. The selection of weighting matrices is usually carried out by trial and error. A weighting matrices of LQG control are selected effectively using Kohonen network. It is shown that simulation results in application of this method to three machine nine bus system are satisfactory.

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References

  1. EPRI Workshop FACTS - Flexible AC transmission System N. G. Hingorani
  2. IEEE Transaction on Power System v.8 no.2 Power Oscillation Damping Using Controlled Reactive Power Compensation-A Comparison Between Series and Shunt Approaches L. Angquist;B. Lundin;J. Samuelsson
  3. IEEE Transactions on Power Systems v.9 no.4 Exploratory Concepts on Control of Variable Series Compensation in Transmission System to Improve Damping of Intermachine/System Osillation F. P. de Mello
  4. IEEE Transaction on Power Delivery v.9 no.4 Damping od Power System Oscillation By Use of Controllable Components M. Noroozian;G. Andersson
  5. FACTS Conferance 2, EPRI TR-101784 Advanced Series Compensation(ASC) steady-state, transient stability and subsynchronous resonance studies B. L. Agrawal;R. A. Hedin;R. K. Johnson;A. H. Montoya;B. A. Vossler
  6. FACTS Conference 2, EPRI TR-101784 A stability model for Thyristor Controlled Series Compensation(TCSC) J.J. Paserba;E. V. Larson
  7. 대한 전기 학회 논문지 v.45 no.4 전력 계통 동요억제를 위한 싸이리스터 제어 직렬 보상기의 해석 및 제어 손광명;한학근;이송근;박종근;이병하
  8. Linear-Quadratic Control P. Dorato;C. Abdallah;V. Cerone
  9. Applied Optimal Control and Estimation F. L. Lewis
  10. Power System Control and Stability P. M. Anderson;A. A. Fouad
  11. Power System Stability and Control P. Kunder
  12. Power Generation, Operation, and Control A. J. Wood;B. F. Wollenberg
  13. Control System Design using MATLAB B. Shahian;M. Hassul
  14. Neural Networks S. Haykin