PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Tytuł artykułu

Efficient Generator Tripping Approach with Minimum Generation Curtailment based on Fuzzy System Rotor Angle Prediction

Wybrane pełne teksty z tego czasopisma
Identyfikatory
Warianty tytułu
PL
Skuteczny system wyzwalania generatora z minimalnym ograniczeniem bazujący na układzie z logiką rozmytą z prognozowaniem kąta wirnika
Języki publikacji
EN
Abstrakty
EN
In this paper the transient stability of power system is improved by development of an efficient generator tripping approach. Tripping number of generators is one of the most-used technique at when a serious disturbance lurching the steady sate operation of the power system. Traditional generator tripping techniques suffered from over-tripping generators beyond the stability requirements. The instability in the power system is usually followed by some delay to be detected by the system which has been unclear for traditional tripping approaches, resulting in misscommitment of tripping generators or unnecessary tripping. As a remedy to this, fuzzy system based rotor angle prediction is proposed to study the behavior of the fault before when the instability detected by the system. However, fuzzy system prediction has an impressive performance on nonlinear systems on which the rotor angle attitude is utterly an identical case with nonlinear characteristics. Results obtained by various and practical simulations exhibit that the stability index of the system improved by less number of tripped generators at the proper time. Simulations are conducted by MATLAB and DIgSILENT software on a 9- bus system with 3 generators to demonstrate the promised results.
PL
Przedstawiono metodę poprawy stanów przejściowych i stabilności system energetycznego przez ulepszenie wyzwalanie generatora. Dla poprawy jakości tego załączania zastosowano układ logiki rozmytej bazujący na przewidywaniu kąta wirnika.
Rocznik
Strony
266--271
Opis fizyczny
Bibliogr. 28 poz., tab., wykr.
Twórcy
autor
autor
autor
autor
Bibliografia
  • [1] P.Kundur, J. Paserba, V. Ajjarapu, G. Anderson, A. Bose, C.Canizares, N. Hatziargyriou, D. Hill, A. Stankovic, C. Taylor, T. V.Cutsem, and V. Vittal, Definition and classification of power systemstability, IEEE Trans on Power Sys, 19(2004), No.3, 1387–1401.
  • [2] M. Edidiani, M. E. Baydokhty, M. Ghamati and H. Zeynal , Transient Stability Improvment Using an Efficient Generator Tripping Scheme, Canadian Journal on Electrical and Electronics Engineering, 2(2011), No.7, 313-319.
  • [3] C.W.Taylor, PowerSystemVoltage Stability (1994), New York:McGraw Hill.
  • [4] M.Eidiani, M. E. Baydokhty, M. Ghamati, and H. Zeynal , Improving Transient Stability Using Combined Generator Tripping and Braking Resistor Approach, International Review on Modelling and Simulations (IREMOS), 4 (2011), No.4, 1690-1699.
  • [5] P.Kundur, Effective Use of Power System Stabilizers for Enhancement of Power System Stability, in proc.1999 IEEE PES Power Engineering Society Summer Meeting, 96-103.
  • [6] J.Machowski, Power System Daynamic and Stability (1997), NewYork:Wilery.
  • [7] G.Karady and J.Gu, A Hybrid method for Generator Tripping,IEEE Trans on Power Sys, 17(2002), 1102-1107.
  • [8] P. Kundur, Power System Stability and Control(1994), in The EPRI PowerSystem Engineering Series. New York: McGraw Hill.
  • [9] C. W. Liu, M. C. Su, S. S. Tsay, and Y. J. Wang, Application of a novel fuzzy neural network to real-time transient stability swings prediction based on synchronized phasor measurements, IEEE Trans. Power Sys, 14(1999), No. 2, 685–692.
  • [10] H. E. Brown, H. H. Happ, C. E. Person, and C. C. Young, Transient stability solution by an impedance matrix method,IEEE Trans Power App Syst, PAS-84(1965), No. 12, 1204–1214.
  • [11] G. A. Jones, Transient stability of a synchronous generator under conditions of bang-bang excitation scheduling, IEEE Trans Power App Syst, PAS-84(1965), No. 1, 114–121.
  • [12] H. D. Chiang, C. C. Chu, and G. Cauley, Direct Stability Analysis of Electric Power Systems Using Energy Functions: Theory, Applications and perspective,Proceedings of the IEEE, 83(1995), No.11, 1497-1529.
  • [13] A. A. Fouad, V. Vittal, Power system transient stability analysis usingthe transient energy function method (1992), Englewood Cliffs, N. J. , PrenticeHall.
  • [14] M. A. Pai, Energy Function Analysis for Power System Stability(1989). Norwell , MA: Kluwer.
  • [15] Z. Wang, V. Aravnthan, E. B. Makram, Generator Cluster Transient Stability Assessment Using Catastrophe Theory,IEEE 2011.
  • [16] P. Yan, A. Sekar and P.K. Rajan,Pattern Recognition Techniques Applied to the Classification of Swing Curves Generated in a Power System Transient Stability Study, in Proc. IEEE Power Engineering Society Winter-Meeting(2000), 493-496.
  • [17] G. Garcia, J. Benussou, and M. Berbiche, Pattern recognition applied to transient stability analysis of power systems with modeling including voltage and speed regulation, Proc. Inst Elect Eng. B, 139(1992), No. 4, 321–325.
  • [18] V. Miranda, J. N. Fidalgo, J. A. Pecas Lopes, and L. B. Almedia, Real time preventive actions for transient stability enhancement with a hybrid neural network-optimization approach,IEEE Trans Power Syst, 10(1995), No. 2, 1029–1035.
  • [19] C. S. Chang, D. Srinivasan and A. C. Liew, A Hybrid Model for Transient Stability Evaluation of Interconnected Longitudinal Power Systems Using Neural Network/ Pattern Recognition Approach, IEEE Trans Power Systems, 9(1994), No. 1, 85-92.
  • [20] R. Schalkoff, Pattern Recognition Statistical, Structural and Neural Approach (1992), John Wiley & Sons.
  • [21] A. A. Grobovoy, Russian far east interconnected power system emergency stability control, in Proc. IEEE Power Engineering Society Summer Meeting, 2(2001), No. 15, 824–829.
  • [22] K. Matsuzawa, K. Yanagihashi, J. Tsukita, M Sato, T. Nakamura, and A. Takeuchi, Stabilizing control system preventing loss of synchronism from extension and its actual operating experience, IEEE Trans Power Sys, 10(1995), 1606–1613.
  • [23] G.Karady and J.Gu, A Hybrid method for Generator Tripping, IEEE Trans on Power Sys, 7(2002),1102-1107.
  • [24] S. Rovnyak, S. Kretsinger, J. Thorp, and D. Brown, Decision trees for real-time transient stability prediction, IEEE Trans Power Sys, 9(1994), No. 3, 1417–1426.
  • [25] C. Lee, ”Fuzzy Logic in Control System:Fuzzy Logic Controller - Part 1 and 2,” IEEE Trans on Systems, Man, and Cybernetics, 20(1990), No. 2, 404 - 435.
  • [26] M. Eidiani and M.H.M. Shanechi, FAD-ATC A New Method for Computing Dynamic ATC, International Journal of Electrical Power & Energy System, 28(2006), No.2, 109-118.
  • [27] M. Eidiani, A Reliable and efficient method for assessing voltage stability in transmission and distribution networks, International Journal of Electrical Power and Energy Systems, 33(2011), No.3, 453-456.
  • [28] H.Zeynal, A.K.Zadeh, K. M. Nor, M. Eidiani, Locational Marginal Price (LMP) AssessmentUsing Hybrid Active and Reactive Cost Minimization, International Review of Electrical Engineering (I.R.E.E.), 5(2010), No.5, 2413-2418.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BPOK-0038-0058
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.