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Design of fuzzy power system stabilisers for multimachine power systems

Design of fuzzy power system stabilisers for multimachine power systems

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© The Institution of Electrical Engineers
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A new type of power system stabiliser based on fuzzy set theory is proposed to improve the dynamic performance of a multimachine power system. To have good damping character istic over a wide range of operating conditions, speed deviation (δω) and acceleration (δω) of a machine are chosen as the input signals to the fuzzy stabiliser on that particular machine. These input signals are first characterised by a set of linguistic variables using fuzzy set notations. The fuzzy relation matrix, which gives the relationship between stabiliser inputs and stabiliser output, allows a set of fuzzy logic operations that are per formed on stabiliser inputs to obtain the desired stabiliser output. Since only local measurements are required by the fuzzy stabiliser on each generating unit, the proposed stabiliser is of decentralised output feedback form and is easy for practical implementation. The effectiveness of the proposed fuzzy stabiliser is demonstrated by a multimachine system example.

Inspec keywords: power system control; stability; fuzzy set theory

Other keywords: fuzzy power system stabilisers; dynamic performance; decentralised output feedback; multimachine power systems

Subjects: Control of electric power systems; Combinatorial mathematics; Power system management, operation and economics; Combinatorial mathematics; Stability in control theory

References

    1. 1)
      • H.J. Zimmermann . (1985) , Fuzzy Set Theory and Its Applications.
    2. 2)
      • W. Watson , G. Manchur . Experience with supplementary damping signals for generator static excitation systems. IEEE Trans. , 199 - 203
    3. 3)
      • K.L. Tang , R.J. Mulholland . Comparing fuzzy logic with classical controller designs. IEEE Trans. , 1085 - 1087
    4. 4)
      • C.J. Wu , Y.Y. Hsu . Design of self-tuning PID power system stabilizer for multimachine power systems. IEEE Trans. , 1059 - 1064
    5. 5)
      • S.J. Cheng , Y.S. Chow , O.P. Malik , G.S. Hope . An adaptive synchronous machine stabilizer. IEEE Trans. , 101 - 109
    6. 6)
      • Y.Y. Hsu , C.Y. Hsu . Design of a proportional-integral power system stabilizer. IEEE Trans. , 46 - 53
    7. 7)
      • W.C. Chan , Y.Y. Hsu . An optimal variable structure stabilizer for power system stabilization. IEEE Trans. , 1738 - 1746
    8. 8)
      • T. Hiyama . Application of rule-based stabilising controller to electrical power system. IEE Proc. C. , 3 , 175 - 181
    9. 9)
      • F.P. Demello , P.J. Nolan , T.F. Laskowski , J.M. Undrill . Coordinated application of stabilizers in multimachine power systems. IEEE Trans. , 892 - 901
    10. 10)
      • Hiyama, T.: `Rule-based stabiliser for multimachine power system', Paper 89 SM 691-7 PWRS, presented at the IEEE/PES, Summer Meeting, 1989.
    11. 11)
      • Y.Y. Hsu , C.J. Wu . Design of PID static VAR controllers for the damping of subsynchronous oscillations. IEEE Trans. , 210 - 216
    12. 12)
      • P.M. ANDERSON , A.A. FOUAD . (1977) , Power system control and stability.
    13. 13)
      • Y.Y. Hsu , C.J. Wu . Adaptive control of a synchronous machine using the auto-searching method. IEEE Trans. , 1434 - 1440
    14. 14)
      • D. Xia , G.T. Heydt . Self-tuning controller for generator excitation. IEEE Trans. , 1877 - 1885
    15. 15)
      • Y.Y. Hsu , C.C. Su . Application of power system stabilizer on a power system with pumped storage plant. IEEE Trans. , 80 - 86
    16. 16)
      • A. Chandra , O.P. Malik , G.S. Hope . A self-tuning controller for the control of multi-machine power systems. IEEE Trans. , 1065 - 1071
    17. 17)
      • Y.Y. Hsu , K.L. Liou . Design of self-tuning PID power system stabilizers for synchronous generators. IEEE Trans. , 343 - 348
    18. 18)
      • Y.Y. Hsu , S.W. Shyue , C.C. Su . Low frequency oscillations in longitudinal power systems: Experience with dynamic stability of Taiwan power system. IEEE Trans. , 92 - 100
    19. 19)
      • F.P. Demello , C. Concordia . Concepts of synchronous machine stability as effected byexcitation control. IEEE Trans. , 316 - 329
    20. 20)
      • L. Wang , Y.Y. Hsu . Damping of subsynchronous resonance using excitation controllers and static VAR compensators: a comparative study. IEEE Trans. , 6 - 13
    21. 21)
      • E.V. Larsen , D.A. Swann . Applying power system stabilisers. IEEE Trans. , 3017 - 3046
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