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

대한전기학회 (The Korean Institute of Electrical Engineers)
권호 표지

전력시스템의 안정도 향상을 위한 GA-퍼지 전 보상기 설계

Design of GA-Fuzzy Precompensator for Enhancement of Pourer System Stability

  • 정형환 (동아대 공대 전기공학과) ;
  • 정문규 (동아대 공대 전기공학과 박사과정 수료) ;
  • 이정필 (동아대 공대 전기공학과 박사과정 수료)
  • 발행 : 2002.02.01
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

In this paper, we design a GA-fuzzy precompensator for enhancement of power system stability. Here, a fuzzy prerompensator is designed as a fuzzy logic-based precompensation approach for Power System Stabilizer(PSS). This scheme is easily implemented simply by adding a fuzzy precompensator to an existing PSS. And we optimize the fuzzy precompensator with a genetic algorithm for complements the demerit such as the difficulty of the component selection of fuzzy controller, namely, scaling factor, membership function and control rules. Simulation results show that the proposed control technique is superior to a conventional PSS in dynamic responses over the wide range of operating conditions and is convinced robustness and reliableness in view of structure.

키워드

참고문헌

  1. P. Kundur, M. Klein, G.J. Rogers, M.S. Zywno, 'Application of Power System Stabilizers for Enhancement of Overall System Stability', IEEE Trans. on Power System, Vol. 4, No. 2, 1989 https://doi.org/10.1109/59.193836
  2. 정형환, 이준탁, 이정필, 한길만, '유전알고리즘을 이용한 전력시스템 안정화 장치의 강인한 최적 $H_{\infty}$ 튜닝', 대한전기학회 논문지, Vol. 49A, No. 3, pp. 85-94, 2000
  3. 정형환, 이정필, 정문규, 이광우, '면역알고리즘을 이용한 전력시스템 안정화 장치의 최적 파라미터 선정', 대한전기학회 논문지, Vol. 49A, No. 9, pp. 433-446, 2000
  4. F. P. Demello, C. Concordia, 'Concepts of synchronous machine stability as affected by excitation control', IEEE Trans. on PAS, Vol. 88, No.4, pp. 189-202, 1969 https://doi.org/10.1109/TPAS.1969.292452
  5. P. Kundur, D. C. Lee, and H. M. Zein El-Din, 'Power System Stabilizers for Thermal Unit : Analytical techniques and on-site validation', IEEE Trans. on PAS, Vol. PAS-1, pp. 81-95, 1981 https://doi.org/10.1109/TPAS.1981.316890
  6. H. Othman, J. J. Sanchez-Gasca, M. A. Kale and J. H. Chow, 'On the Design of Robust Power System Stabilizers', Proceedings of the 28th Conference on Decision and Control, pp. 1853-1857, 1989
  7. Y. N. Yu, Electric Power System Dynamics, Academic Press, 1983
  8. W. Gu and K. E. Bollinger, 'A Self-tuning Power System Stabilizer for Wide-range Synchronous Generator Operation', IEEE Trans. on PWRS, Vol. 4, No. 3, pp. 1191-1199, 1989 https://doi.org/10.1109/59.32617
  9. C. X. Mao et al., 'Studies of Real-time Adaptive Optimal Excitation Controller and Adaptive Optimal Power System Stabilizer', IEEE Trans. on Energy Conversion,Vol. 7, No. 3, pp. 498-502, 1992 https://doi.org/10.1109/60.148583
  10. M. Hassan, O. P. Malik and G. S. Hope, 'A Fuzzy Logic based Stabilizer for a Synchronous Machine', IEEE Trans. on Energy Conversion, Vol. 6, No. 3, pp. 407-413, 1991 https://doi.org/10.1109/60.84314
  11. Y. Zhang, G. P. Chen, O. P. Malik and G. S. Hope, 'An Artificial Neural Network based Adaptive Power System Stabilizer', IEEE Trans. on Energy Conversion, Vol. 8, No. 1, pp. 71-77, 1993 https://doi.org/10.1109/60.207408
  12. 정형환, 왕용필, 정동일, 정문규, '유전알고리즘을 이용한 전력시스템 안정화 장치의 최적 파라미터 선정', 대한전기학회 논문지, Vol. 48A, No. 6, pp. 683-691, 1999
  13. J. H. Kim, K. C. Kim and E. K. P. Chong, 'Fuzzy Precompensated PID Controllers', IEEE Trans. on Control Systems, Vol. 2, No. 4, pp. 406-411, 1994 https://doi.org/10.1109/87.338660
  14. 정형환, 왕용필, 이정필, 정문규, '유전 알고리즘을 이용한 전력계통의 부하주파수 제어를 위한 퍼지 전 보상 PID 제어기 설계', 대한전기학회 논문지, Vol. 49A, No. 2, pp. 62-69, 2000
  15. H. H. Chung, J. T. Lee, S. M. Joo, M. K. Chung, 'Application of Fuzzy PID Controller for Stabilization of Power System', 1999 IEEE International Fuzzy Systems Conference, pp. 1729-1733, 1999 https://doi.org/10.1109/FUZZY.1999.790167
  16. S. Tzafestas, N.P. Papanikolopoulos, 'Incremental Fuzzy Expert PID Control', IEEE Trans. Industrial Electronics, Vol. 37, No. 5, 1990 https://doi.org/10.1109/41.103431
  17. C. L. Chen, P. C. Chen and C. K. Chen, 'Analysis and Design of Fuzzy Control System', Fuzzy Sets and Systems, Vol. 57, pp. 125-140, 1993 https://doi.org/10.1016/0165-0114(93)90152-8
  18. T. Brehm and K. S. Rattan, 'Hybrid Fuzzy Logic PID Controller', 3th IEEE international conference on fuzzy systems, Vol. 3, pp. 1682-1687, 1994
  19. S.-Z. He, S. Tan and F.-L. Xu, 'Fuzzy self-tuning of PID controllers', Fuzzy Sets and Systems, Vol. 24, pp. 37-46, 1993 https://doi.org/10.1016/0165-0114(93)90183-I
  20. T. Hagglund and K.J. Astrom, 'Automatic tuning of PID controllers based on dominant pole design', Proc. IFAC Workshop on Adaptive Control of Chemical Processes, Frankfurt, 1985
  21. C. C. Hang, K. J. Astrom and W. K. Ho, 'Refinements of the Ziegler-Nichols tuning formula', IEE Proc.-D, Vol. 138, No. 2, pp. 111-118, 1991 https://doi.org/10.1049/ip-d.1991.0015
  22. J. H. Kim, K. C. Kim and E. K. P. Chong, 'Fuzzy Precompensated PID Controllers', IEEE Trans. Cont. Syst. Tech., Vol. 2, No. 4, pp. 406-411, 1994 https://doi.org/10.1109/87.338660
  23. R. Babuska and P. Horacek, 'Laboratory evaluation of fuzzy controllers', Preprints of the IFAC/IFIC/IMACS Internat. Symp. on Artificial Intelligence in Real-Time Control, Delft, pp. 263-268, 1992