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

The Korean Institute of Electrical Engineers (대한전기학회)
권호 표지

Design of Fuzzy Precompensated PID Controller for Load Frequency Control of Power System using Genetic Algorithm

유전 알고리즘을 이용한 전력계통의 부하주파수 제어를 위한 퍼지 전 보상 PID 제어기 설계

  • 정형환 (동아대 공대 전기공학과) ;
  • 왕용필 (Dept. of Electrical & Electronic Eng., Univ. of Canterbury(New Zealand), Post-Doc.) ;
  • 이정필 (동아대 공대 전기공학과) ;
  • 정문규 (동아대 공대 전기공학과)
  • Published : 2000.02.01
Download PDF
⟨ Previous Next ⟩

Abstract

In this paper, we design a GA-fuzzy precompensated PID controller for the load frequency control of two-area interconnected power system. Here, a fuzzy precompensated PID controller is designed as a fuzzy logic-based precompensation approach for PID controller. This scheme is easily implemented simply by adding a fuzzy precompensator to an existing PID controller. 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 PID control and a fuzzy precompensated PID control in dynamic responses about the load disturbances of power system and is convinced robustness reliableness in view of structure.

Keywords

References

  1. C. E. Fosha and O. I. Elgerd, 'The Megawatt-Frequency Control Problem : A New Approach Via Optimal Control Theory', IEEE Trans. Power App. and Syst., Vol. Pas-80, No. 4, pp. 553-577, 1970 https://doi.org/10.1109/TPAS.1970.292603
  2. O. I. Elgerd and C. E. Fosha, 'Optimum megawatt-frequency control of multiarea electric energy systems', IEEE Trans. on Power App. Syst., Vol. Pas-89, No. 4, pp. 556-563, (1970) https://doi.org/10.1109/TPAS.1970.292602
  3. P. Kundur, 'Power system Stability and Control', McGraw-Hill, Inc., pp. 581-626, 1993
  4. F. Beaufays, Y. A-M and B. Widrow, 'Application of Neural Networks to Load-Frequency Control in Power Systems', Neural Networks, Vol. 7, No. 1, pp. 183-194, 1994 https://doi.org/10.1016/0893-6080(94)90067-1
  5. A. M. Stankovic, G. Tadmor and T. A. Sakharuk, 'On Robust Control Analysis and Design for Load Frequency Regulation', IEEE Trans. Power. Syst., Vol. 13, No. 2, pp. 449-455, 1998 https://doi.org/10.1109/59.667367
  6. 정형환, 정문규, 유재엽, '퍼지 전 보상 PID 제어기를 이용한 전력계통의 부하주파수 제어에 관한 연구', 生産技術硏究所論文集, 제 4권 1호, pp. 241-248, 1999
  7. 정형환, 김상효, 정문규, '전력계통의 부하주파수 제어를 위한 신경회로망 전 보상 PID 제어기 적용', 韓國舶用機關學會誌, 제 23권 4호, pp. 480-487, 1999
  8. H. Saadat, 'Power System Analysis', McGraw-Hill, Inc, pp. 527-585, 1999
  9. 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
  10. S. Tzafestas and N. P. Papanikolopoulos, 'Incremental Fuzzy Expert PID Control', IEEE Trans. Industrial Electronics, Vol. 37, No. 5, 1990 https://doi.org/10.1109/41.103431
  11. 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
  12. T. Brehm and K. S. Rattan, 'Hybrid Fuzzy Logic PID Controller', 3th IEEE international conference on fuzzy systems, Vol. 3, pp. 1682-1687, 1994 https://doi.org/10.1109/FUZZY.1994.343602
  13. 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
  14. 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
  15. 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
  16. 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
  17. R. Babuska and P. Horacek, 'Laboratory evaluation of fuzzy controllers', Preprints of the IFAC/IFIC/IMACS Internat. Symp. in Artificial Intelligence in Real-Time Control, Delft, pp. 263-268, 1992
  18. D. E. Goldberg, 'Genetic Algorithms in Search, Optimization, and Machine Learning', Addison-Wesley Publishing Co. Inc., 1989
  19. M. Gen, R. Cheng, 'Genetic Algorithms and Engineering Design', John, Wiley & Sons, Inc., 1997
  20. 정형환, 왕용필, 정동일, 정문규, '유전 알고리즘을 이용한 전력시스템 안정화 장치의 최적 파라미터 선정', 대한전기학회논문지, 제 48권 6호, pp. 683-691, 1999